diff --git a/.gitignore b/.gitignore
index ad78031..2a00493 100644
--- a/.gitignore
+++ b/.gitignore
@@ -5,7 +5,10 @@ build/
 dist/
 wheels/
 *.egg-info
+.DS_Store
 
 # Virtual environments
 .venv
 *.svg
+scratch/
+.self-improving-agent/
diff --git a/human-seeded-evals/README.md b/human-seeded-evals/README.md
new file mode 100644
index 0000000..7039275
--- /dev/null
+++ b/human-seeded-evals/README.md
@@ -0,0 +1,32 @@
+# Human Seeded Evals Demo
+
+Like evals ... but without all the hard work.
+
+Panacea or pipedream?
+
+# Usage
+
+Run the frontend:
+
+```bash
+cd frontend
+npm run dev
+```
+
+Run the backend:
+
+```bash
+uv run uvicorn app.main:app --port 5000
+```
+
+Run the eval generator:
+
+```bash
+uv run evals/eval_prompt_generator.py
+```
+
+Run the live evals agent:
+
+```bash
+uv run evals/auto_evals.py
+```
diff --git a/human-seeded-evals/app/__init__.py b/human-seeded-evals/app/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/human-seeded-evals/app/agent.py b/human-seeded-evals/app/agent.py
new file mode 100644
index 0000000..246e4b0
--- /dev/null
+++ b/human-seeded-evals/app/agent.py
@@ -0,0 +1,35 @@
+from __future__ import annotations as _annotations
+
+from dataclasses import dataclass
+from datetime import datetime
+
+from pydantic_ai import Agent, RunContext
+
+from .models import TimeRangeInputs, TimeRangeResponse
+
+
+@dataclass
+class TimeRangeDeps:
+    now: datetime
+
+
+instrunctions = "Convert the user's request into a structured time range."
+time_range_agent = Agent[TimeRangeDeps, TimeRangeResponse](
+    'anthropic:claude-sonnet-4-0',
+    output_type=TimeRangeResponse,  # type: ignore  # we can't yet annotate something as receiving a TypeForm
+    deps_type=TimeRangeDeps,
+    instructions=instrunctions,
+    retries=1,
+)
+
+
+@time_range_agent.instructions
+def inject_current_time(ctx: RunContext[TimeRangeDeps]) -> str:
+    """Add the user's current time and timezone in the format 'Friday, November 22, 2024 11:15:14 PST' to context."""
+    return f"The user's current time is {ctx.deps.now:%A, %B %d, %Y %H:%M:%S %Z}."
+
+
+async def infer_time_range(inputs: TimeRangeInputs) -> TimeRangeResponse:
+    """Infer a time range from a user prompt."""
+    result = await time_range_agent.run(inputs.prompt, deps=TimeRangeDeps(now=inputs.now))
+    return result.output
diff --git a/human-seeded-evals/app/main.py b/human-seeded-evals/app/main.py
new file mode 100644
index 0000000..f04baa1
--- /dev/null
+++ b/human-seeded-evals/app/main.py
@@ -0,0 +1,16 @@
+import logfire
+from fastapi import FastAPI
+
+from .agent import infer_time_range
+from .models import TimeRangeInputs, TimeRangeResponse
+
+logfire.configure(environment='dev')
+logfire.instrument_pydantic_ai()
+
+app = FastAPI()
+logfire.instrument_fastapi(app)
+
+
+@app.post('/api/timerange')
+async def convert_time_range(time_range_inputs: TimeRangeInputs) -> TimeRangeResponse:
+    return await infer_time_range(time_range_inputs)
diff --git a/human-seeded-evals/app/models.py b/human-seeded-evals/app/models.py
new file mode 100644
index 0000000..593d7d9
--- /dev/null
+++ b/human-seeded-evals/app/models.py
@@ -0,0 +1,39 @@
+from __future__ import annotations as _annotations
+
+from datetime import datetime
+
+from pydantic import AwareDatetime, BaseModel, Field
+
+
+class TimeRangeBuilderSuccess(BaseModel, use_attribute_docstrings=True):
+    """Response when a time range could be successfully generated."""
+
+    start_timestamp: AwareDatetime = Field(serialization_alias='startTimestamp')
+    """A datetime in ISO format with timezone offset when the interval starts."""
+
+    end_timestamp: AwareDatetime = Field(serialization_alias='endTimestamp')
+    """A datetime in ISO format with timezone offset when the interval ends."""
+
+    explanation: str | None
+    """
+    A brief explanation of the time range that was selected.
+
+    For example, if a user only mentions a specific point in time, you might explain that you selected a 10 minute
+    window around that time.
+    """
+
+
+class TimeRangeBuilderError(BaseModel):
+    """Response when a time range cannot not be generated."""
+
+    error: str
+
+
+TimeRangeResponse = TimeRangeBuilderSuccess | TimeRangeBuilderError
+
+
+class TimeRangeInputs(BaseModel):
+    """The inputs for the time range inference agent."""
+
+    prompt: str
+    now: AwareDatetime = Field(default_factory=lambda: datetime.now().astimezone())
diff --git a/human-seeded-evals/auto_evals/auto_evals.py b/human-seeded-evals/auto_evals/auto_evals.py
new file mode 100644
index 0000000..17893bb
--- /dev/null
+++ b/human-seeded-evals/auto_evals/auto_evals.py
@@ -0,0 +1,108 @@
+import asyncio
+import os
+from datetime import datetime, timedelta, timezone
+from pathlib import Path
+from typing import Any, Literal
+
+import logfire
+from logfire.experimental import annotations
+from logfire.experimental.query_client import AsyncLogfireQueryClient
+from pydantic import BaseModel, TypeAdapter
+from pydantic_ai import Agent, format_as_xml
+
+read_token = os.environ['LOGFIRE_READ_TOKEN']
+logfire.configure(environment='evals')
+logfire.instrument_pydantic_ai()
+
+
+class EvalFeedback(BaseModel, use_attribute_docstrings=True):
+    reaction: Literal['positive', 'negative']
+    comment: str | None = None
+    """Very concise comment for the evaluation"""
+
+
+prompt_path = Path(__file__).parent / 'eval_agent_prompt.txt'
+evals_agent = Agent(
+    'anthropic:claude-sonnet-4-0',
+    instructions=prompt_path.read_text(),
+    output_type=EvalFeedback,
+)
+runs_query = """
+select
+    created_at,
+    trace_id,
+    span_id,
+    attributes->'all_messages_events'->1->>'content' as prompt,
+    attributes->'final_result' as output
+from records
+where otel_scope_name = 'pydantic-ai' and message = 'time_range_agent run'
+"""
+
+with_annotations_query = """
+select
+    '00-' || trace_id || '-' || parent_span_id || '-01' as trace_parent
+from records
+where kind='annotation'
+"""
+
+
+class RunData(BaseModel):
+    created_at: datetime
+    trace_id: str
+    span_id: str
+    prompt: str
+    output: Any
+
+    @property
+    def trace_parent(self):
+        return f'00-{self.trace_id}-{self.span_id}-01'
+
+
+run_data_list_schema = TypeAdapter(list[RunData])
+
+
+async def apply_feedback(run: RunData):
+    if run.output is None:
+        return
+    r = await evals_agent.run(
+        format_as_xml({'run_timestamp': run.created_at, 'prompt': run.prompt, 'output': run.output})
+    )
+    print(f'Adding feedback to {run.trace_parent}: {r.output}')
+    annotations.record_feedback(
+        run.trace_parent,
+        'AI Annotation',
+        value=r.output.reaction,
+        comment=r.output.comment,
+        extra={'path': ''},
+    )
+
+
+async def main():
+    min_timestamp = datetime.now(tz=timezone.utc) - timedelta(minutes=30)
+    async with AsyncLogfireQueryClient(read_token) as client:
+        while True:
+            response = await client.query_json_rows(runs_query, min_timestamp=min_timestamp)
+            runs = run_data_list_schema.validate_python(response['rows'])
+            if runs:
+                response = await client.query_json_rows(with_annotations_query, min_timestamp=min_timestamp)
+                annotated_spans: set[str] = {r['trace_parent'] for r in response['rows']}
+                runs = [run for run in runs if run.trace_parent not in annotated_spans]
+                if runs:
+                    print('')
+                    logfire.info('found {runs} new runs to evaluate', runs=len(runs))
+                    min_timestamp = min(runs, key=lambda run: run.created_at).created_at.astimezone(timezone.utc)
+                    await asyncio.gather(*[apply_feedback(run) for run in runs])
+                    await asyncio.sleep(2)
+                    continue
+
+            min_timestamp = datetime.now(tz=timezone.utc) - timedelta(minutes=1)
+            print('.', end='', flush=True)
+
+            await asyncio.sleep(2)
+
+
+if __name__ == '__main__':
+    try:
+        asyncio.run(main())
+    except KeyboardInterrupt:
+        print('stopping')
diff --git a/human-seeded-evals/auto_evals/eval_agent_prompt.txt b/human-seeded-evals/auto_evals/eval_agent_prompt.txt
new file mode 100644
index 0000000..4fe5c7a
--- /dev/null
+++ b/human-seeded-evals/auto_evals/eval_agent_prompt.txt
@@ -0,0 +1,25 @@
+You are an evaluation agent responsible for assessing the performance of the time_range_agent. The time_range_agent converts user requests into structured time ranges with start and end timestamps.
+
+Your task is to evaluate whether the time_range_agent correctly interprets temporal requests and generates appropriate time ranges according to these criteria:
+
+1. **Temporal Interpretation**: The agent should correctly identify the time period referenced by the user (e.g., "yesterday", "last Monday", "4pm", etc.)
+
+2. **Past Time Constraint**: Time ranges must be in the past relative to the provided context timestamp. Future time requests should return an error.
+
+3. **Timezone Handling**: The agent should handle timezone specifications correctly (e.g., "ET", "BST") and default to an appropriate timezone when not specified.
+
+4. **Range Generation**:
+   - For full day requests (e.g., "Monday", "yesterday"): Generate ranges from 00:00:00 to 23:59:59
+   - For specific time points (e.g., "4pm", "9am"): Generate a 10-minute window around the specified time
+   - The explanation should clearly describe the selected time range
+
+5. **Error Handling**: When a valid time range cannot be generated (e.g., future dates), the agent should return an error response.
+
+Evaluate each agent output by checking:
+- Is the interpreted time period correct given the user's request and context timestamp?
+- Are the start and end timestamps properly formatted with timezone information?
+- Is the time range in the past relative to the context timestamp?
+- Is the explanation clear and accurate?
+- Are errors properly returned when appropriate?
+
+Provide concise, specific feedback identifying what the agent did correctly or incorrectly. Focus on the most important issues that would impact the usability of the time range.
\ No newline at end of file
diff --git a/human-seeded-evals/auto_evals/eval_prompt_generator.py b/human-seeded-evals/auto_evals/eval_prompt_generator.py
new file mode 100644
index 0000000..874eee7
--- /dev/null
+++ b/human-seeded-evals/auto_evals/eval_prompt_generator.py
@@ -0,0 +1,123 @@
+import asyncio
+import json
+import os
+import sys
+from datetime import datetime
+from pathlib import Path
+from typing import Any, Literal
+
+import logfire
+from logfire.experimental.query_client import AsyncLogfireQueryClient
+from pydantic import BaseModel, TypeAdapter
+from pydantic_ai import Agent, format_as_xml
+
+sys.path.append(str(Path(__file__).parent.parent))
+
+from app import agent
+
+read_token = os.environ['LOGFIRE_READ_TOKEN']
+logfire.configure(environment='evals')
+logfire.instrument_pydantic_ai()
+
+auto_annotation_agent = Agent(
+    'anthropic:claude-opus-4-0',
+    instructions="""
+Your task is to build a system prompt for an agent (the evals agent) which will evaluate the performance of another
+agent and provide feedback on its performance.
+
+You should return the system prompt for the evals agent ONLY.
+""",
+)
+
+
+class RunFeedback(BaseModel):
+    reaction: Literal['positive', 'negative'] | None
+    comment: str | None
+
+
+class AgentRunSummary(BaseModel):
+    prompt: str
+    context: Any
+    output: Any
+    feedback: RunFeedback | None = None
+
+
+count_runs_query = "select count(*) from records where message = 'time_range_agent run'"
+runs_query = """
+select
+    trace_id,
+    span_id,
+    'time timestamp: ' || created_at as context,
+    attributes->'all_messages_events'->1->>'content' as prompt,
+    attributes->'final_result' as output
+from records
+where message = 'time_range_agent run'
+"""
+feedback_query = """
+select
+    trace_id,
+    parent_span_id,
+    attributes->>'Annotation' as reaction,
+    attributes->>'logfire.feedback.comment' as comment
+from records
+where kind='annotation' and attributes->>'logfire.feedback.name'='Annotation'
+"""
+min_count = 1
+
+
+async def get_runs() -> None | list[AgentRunSummary]:
+    min_timestamp = datetime(2025, 7, 2)
+    async with AsyncLogfireQueryClient(read_token) as client:
+        c = await client.query_json(sql=count_runs_query, min_timestamp=min_timestamp)
+        count = c['columns'][0]['values'][0]
+        if count < min_count:
+            print(f'Insufficient runs ({count})')
+            return
+
+        r = await client.query_json_rows(sql=feedback_query, min_timestamp=min_timestamp)
+        feedback_lookup: dict[str, Any] = {
+            f'{row["trace_id"]}-{row["parent_span_id"]}': RunFeedback(**row) for row in r['rows']
+        }
+
+        r = await client.query_json_rows(sql=runs_query, min_timestamp=min_timestamp)
+        runs: list[AgentRunSummary] = []
+        with_feedback = 0
+        for row in r['rows']:
+            key = f'{row["trace_id"]}-{row["span_id"]}'
+            if feedback := feedback_lookup.get(key):
+                row['feedback'] = feedback
+                with_feedback += 1
+            runs.append(AgentRunSummary(**row))
+
+        logfire.info(f'Found {len(runs)} runs, {with_feedback} with feedback')
+        return runs
+
+
+async def generate_evals_prompt(
+    name: str, instrunctions: str, output_type: type[Any] | None, runs: list[AgentRunSummary]
+) -> str:
+    data: dict[str, Any] = {'agent_name': name, 'agent_instructions': instrunctions}
+    if output_type is not None:
+        data['output_schema'] = json.dumps(TypeAdapter(output_type).json_schema(), indent=2)
+    data['agent_runs'] = [run.model_dump(exclude_none=True) for run in runs]
+    prompt = format_as_xml(data, include_root_tag=False)
+    r = await auto_annotation_agent.run(prompt)
+    return r.output
+
+
+async def main():
+    runs = await get_runs()
+    if runs:
+        prompt = await generate_evals_prompt(
+            'time_range_agent',
+            agent.instrunctions,
+            agent.TimeRangeResponse,  # type: ignore
+            runs,
+        )
+        prompt_path = Path(__file__).parent / 'eval_agent_prompt.txt'
+        prompt_path.write_text(prompt)
+        print(f'prompt written to {prompt_path}')
+
+
+if __name__ == '__main__':
+    asyncio.run(main())
diff --git a/human-seeded-evals/evals/__init__.py b/human-seeded-evals/evals/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/human-seeded-evals/evals/custom_evaluators.py b/human-seeded-evals/evals/custom_evaluators.py
new file mode 100644
index 0000000..421068f
--- /dev/null
+++ b/human-seeded-evals/evals/custom_evaluators.py
@@ -0,0 +1,40 @@
+from dataclasses import dataclass
+from datetime import timedelta
+
+from pydantic_evals.evaluators import Evaluator, EvaluatorContext, EvaluatorOutput
+
+from app.models import TimeRangeBuilderSuccess, TimeRangeInputs, TimeRangeResponse
+
+
+@dataclass
+class ValidateTimeRange(Evaluator[TimeRangeInputs, TimeRangeResponse]):
+    def evaluate(self, ctx: EvaluatorContext[TimeRangeInputs, TimeRangeResponse]) -> EvaluatorOutput:
+        if isinstance(ctx.output, TimeRangeBuilderSuccess):
+            window_end = ctx.output.end_timestamp
+            window_size = window_end - ctx.output.start_timestamp
+            return {
+                'window_is_not_too_long': window_size <= timedelta(days=30),
+                'window_is_not_in_the_future': window_end <= ctx.inputs['now'],
+            }
+
+        return {}  # No evaluation needed for errors
+
+
+@dataclass
+class UserMessageIsConcise(Evaluator[TimeRangeInputs, TimeRangeResponse]):
+    async def evaluate(
+        self,
+        ctx: EvaluatorContext[TimeRangeInputs, TimeRangeResponse],
+    ) -> EvaluatorOutput:
+        if isinstance(ctx.output, TimeRangeBuilderSuccess):
+            user_facing_message = ctx.output.explanation
+        else:
+            user_facing_message = ctx.output.error
+
+        if user_facing_message is not None:
+            return len(user_facing_message.split()) < 50
+        else:
+            return {}
+
+
+CUSTOM_EVALUATOR_TYPES = (ValidateTimeRange, UserMessageIsConcise)
diff --git a/human-seeded-evals/evals/dataset.json b/human-seeded-evals/evals/dataset.json
new file mode 100644
index 0000000..353d390
--- /dev/null
+++ b/human-seeded-evals/evals/dataset.json
@@ -0,0 +1,1721 @@
+{
+  "cases": [
+    {
+      "name": "Last 2 hour",
+      "inputs": {
+        "prompt": "Last 2 hour",
+        "now": "2025-05-01T05:41:30.311402Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-01T03:41:30Z",
+        "end_timestamp": "2025-05-01T05:41:30Z",
+        "explanation": ""
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "yesterday from 4pm to 6pm",
+      "inputs": {
+        "prompt": "yesterday from 4pm to 6pm",
+        "now": "2025-05-01T09:31:57.169821Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-04-30T16:00:00Z",
+        "end_timestamp": "2025-04-30T18:00:00Z",
+        "explanation": "Selected the time range from 4 PM to 6 PM UTC yesterday, assuming UTC as the timezone."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "5 minutes around 05/02/2025, 02:30:10",
+      "inputs": {
+        "prompt": "5 minutes around 05/02/2025, 02:30:10",
+        "now": "2025-05-02T08:38:41.16289Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-02T02:27:40Z",
+        "end_timestamp": "2025-05-02T02:32:40Z",
+        "explanation": "Selected a 5-minute window around the specified time on May 2, 2025, assuming UTC time."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "5 minutes around 05/02/2025, 10:22:53 UTC",
+      "inputs": {
+        "prompt": "5 minutes around 05/02/2025, 10:22:53 UTC",
+        "now": "2025-05-02T08:54:49.342444Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-02T10:20:23Z",
+        "end_timestamp": "2025-05-02T10:25:23Z",
+        "explanation": "Selected a 5-minute window around the specified UTC time."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "from now to 4.5 hours ago",
+      "inputs": {
+        "prompt": "from now to 4.5 hours ago",
+        "now": "2025-05-03T06:07:47.105207Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-02T20:37:47Z",
+        "end_timestamp": "2025-05-03T06:07:47Z",
+        "explanation": "Selected the last 4.5-hour window up to the current time in UTC."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "last three months",
+      "inputs": {
+        "prompt": "last three months",
+        "now": "2025-05-04T11:40:15.198504Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2024-02-04T00:00:00Z",
+        "end_timestamp": "2025-05-04T11:40:15Z",
+        "explanation": "Includes the last 90 days up to the current time."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "last minute",
+      "inputs": {
+        "prompt": "last minute",
+        "now": "2025-05-06T09:36:27.819513Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-06T09:35:00Z",
+        "end_timestamp": "2025-05-06T09:36:00Z",
+        "explanation": "Selected the last minute leading up to the current time."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "last 5 minutes",
+      "inputs": {
+        "prompt": "last 5 minutes",
+        "now": "2025-05-06T22:40:49.871987Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-06T22:35:49Z",
+        "end_timestamp": "2025-05-06T22:40:49Z",
+        "explanation": "Selected the most recent 5-minute time range up to the current time."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "5 minutes around 05/05/2025, 20:17:20 UTC 2",
+      "inputs": {
+        "prompt": "5 minutes around 05/05/2025, 20:17:20 UTC 2",
+        "now": "2025-05-07T19:26:37.561819Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-05T20:14:50+02:00",
+        "end_timestamp": "2025-05-05T20:19:50+02:00",
+        "explanation": "Selected a 10-minute window around the specified time in UTC+2."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "May 07 09:43:36 AM",
+      "inputs": {
+        "prompt": "May 07 09:43:36 AM",
+        "now": "2025-05-08T07:01:40.83444Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-07T09:38:36Z",
+        "end_timestamp": "2025-05-07T09:48:36Z",
+        "explanation": "Selected a 10-minute window around the specified time. Assuming the user means May 07 in the current year."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "May 07 09-12",
+      "inputs": {
+        "prompt": "May 07 09-12",
+        "now": "2025-05-08T07:09:34.616432Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-07T09:00:00Z",
+        "end_timestamp": "2025-05-07T12:00:00Z",
+        "explanation": "Assumed the user is referring to May 07 of the current year (2025), selecting the time range from 9 AM to 12 PM in UTC as no timezone was specified."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "5 days ago to 3 days ago",
+      "inputs": {
+        "prompt": "5 days ago to 3 days ago",
+        "now": "2025-05-09T00:16:10.399851Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-04T00:00:00Z",
+        "end_timestamp": "2025-05-06T00:00:00Z",
+        "explanation": "Includes the period from midnight 5 days ago up to midnight 3 days ago, assuming current date is May 9, 2025."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "May 07 09:59:58 AM",
+      "inputs": {
+        "prompt": "May 07 09:59:58 AM",
+        "now": "2025-05-09T14:06:26.328516Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-07T09:59:58Z",
+        "end_timestamp": "2025-05-07T10:09:58Z",
+        "explanation": "Selected a 10-minute window around the specified time in the past 24 hours. Assumed UTC as the time zone because none was specified."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "last 1 minute",
+      "inputs": {
+        "prompt": "last 1 minute",
+        "now": "2025-05-10T08:59:55.203268Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-10T08:58:55Z",
+        "end_timestamp": "2025-05-10T08:59:55Z",
+        "explanation": "Includes the most recent minute up to now."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "5 minutes around  4:50 PM today",
+      "inputs": {
+        "prompt": "5 minutes around  4:50 PM today",
+        "now": "2025-05-10T15:19:35.66583Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-10T16:47:30Z",
+        "end_timestamp": "2025-05-10T16:52:30Z",
+        "explanation": "Selected a 5-minute window around 4:50 PM UTC as the user did not specify a timezone."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "5 minutes around  4:50 PM today (Madrid timezone)",
+      "inputs": {
+        "prompt": "5 minutes around  4:50 PM today (Madrid timezone)",
+        "now": "2025-05-10T15:19:54.743878Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-10T16:45:00+02:00",
+        "end_timestamp": "2025-05-10T16:55:00+02:00",
+        "explanation": "Selected a 10-minute window around 4:50 PM local Madrid time today."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "Lawt year",
+      "inputs": {
+        "prompt": "Lawt year",
+        "now": "2025-05-12T00:23:07.37249Z"
+      },
+      "expected_output": {
+        "error": "Unable to determine a specific time range for 'Lawt year'. Assuming a typo and looking for 'last year', but data retention only allows for the past 30 days."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderError"
+        }
+      ]
+    },
+    {
+      "name": "YTD",
+      "inputs": {
+        "prompt": "YTD",
+        "now": "2025-05-12T00:23:14.844515Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2024-12-31T00:00:00Z",
+        "end_timestamp": "2025-05-12T00:23:14Z",
+        "explanation": "Includes data from January 1st of the current year until now, in UTC time."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "last 2 hours",
+      "inputs": {
+        "prompt": "last 2 hours",
+        "now": "2025-05-12T20:03:37.934219Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-12T18:03:37Z",
+        "end_timestamp": "2025-05-12T20:03:37Z",
+        "explanation": ""
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "last 3 hours",
+      "inputs": {
+        "prompt": "last 3 hours",
+        "now": "2025-05-12T20:04:48.225424Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-12T17:04:48Z",
+        "end_timestamp": "2025-05-12T20:04:48Z",
+        "explanation": "Includes a time range of the last 3 hours up to the current moment."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "last 24h",
+      "inputs": {
+        "prompt": "last 24h",
+        "now": "2025-05-12T21:45:03.1054Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-11T21:45:03Z",
+        "end_timestamp": "2025-05-12T21:45:03Z",
+        "explanation": "Includes the last 24 hours up to now."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "May 9 22.20-22.30",
+      "inputs": {
+        "prompt": "May 9 22.20-22.30",
+        "now": "2025-05-13T09:04:43.915607Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-09T22:20:00Z",
+        "end_timestamp": "2025-05-09T22:30:00Z",
+        "explanation": "Selected a 10-minute window on May 9th from 22:20 to 22:30 UTC."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "1 minute",
+      "inputs": {
+        "prompt": "1 minute",
+        "now": "2025-05-13T21:32:38.560997Z"
+      },
+      "expected_output": {
+        "error": "Unable to determine a specific time range from '1 minute.' Please provide additional context or a specific point in time."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderError"
+        }
+      ]
+    },
+    {
+      "name": "2025-05-14T12:24:26.292184 to  2025-05-14T12:17:11.456767",
+      "inputs": {
+        "prompt": "2025-05-14T12:24:26.292184 to  2025-05-14T12:17:11.456767",
+        "now": "2025-05-14T12:39:58.599608Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-14T12:17:11.456767Z",
+        "end_timestamp": "2025-05-14T12:24:26.292184Z",
+        "explanation": "Use the provided timestamps to filter for spans at 16:24 UTC today."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": " 2025-05-14T12:17:11.456767 to 2025-05-14T12:24:26.292184",
+      "inputs": {
+        "prompt": " 2025-05-14T12:17:11.456767 to 2025-05-14T12:24:26.292184",
+        "now": "2025-05-14T12:40:09.612873Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-14T12:17:11Z",
+        "end_timestamp": "2025-05-14T12:24:26Z",
+        "explanation": "The time range is set using the exact timestamps provided, with UTC as the timezone assuming there were no specific timezone instructions."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "19:37:42",
+      "inputs": {
+        "prompt": "19:37:42",
+        "now": "2025-05-14T17:42:33.77023Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-13T19:32:42Z",
+        "end_timestamp": "2025-05-13T19:42:42Z",
+        "explanation": "Selected a 10-minute window around the specified time yesterday since the provided time is later than now."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "1minute",
+      "inputs": {
+        "prompt": "1minute",
+        "now": "2025-05-14T19:43:59.130267Z"
+      },
+      "expected_output": {
+        "error": "Unable to determine a specific time range from the prompt '1minute'."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderError"
+        }
+      ]
+    },
+    {
+      "name": "5/16/2025, 12:36:39 PM to 5/16/2025, 12:45:49 PM",
+      "inputs": {
+        "prompt": "5/16/2025, 12:36:39 PM to 5/16/2025, 12:45:49 PM",
+        "now": "2025-05-16T22:45:39.815545Z"
+      },
+      "expected_output": {
+        "error": "The specified time range is in the future and cannot be used to filter data, which is only available for past events."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderError"
+        }
+      ]
+    },
+    {
+      "name": "5/16/2025 12:36:39 PM to 5/16/2025 12:45:49 PM",
+      "inputs": {
+        "prompt": "5/16/2025 12:36:39 PM to 5/16/2025 12:45:49 PM",
+        "now": "2025-05-16T22:45:48.81708Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-16T12:36:39Z",
+        "end_timestamp": "2025-05-16T12:45:49Z",
+        "explanation": "Assumed the time is provided in UTC. Selected the specified time interval."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "5/16/2025 12:36:39 PM to 5/16/2025 12:45:49 PM US Central",
+      "inputs": {
+        "prompt": "5/16/2025 12:36:39 PM to 5/16/2025 12:45:49 PM US Central",
+        "now": "2025-05-16T22:45:59.964266Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-16T12:36:39-05:00",
+        "end_timestamp": "2025-05-16T12:45:49-05:00",
+        "explanation": "Selected the specified time range with US Central timezone offset."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "last three days",
+      "inputs": {
+        "prompt": "last three days",
+        "now": "2025-05-19T11:26:02.062781Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-16T11:26:02Z",
+        "end_timestamp": "2025-05-19T11:26:02Z",
+        "explanation": "Includes the last three days up to now."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "last two days",
+      "inputs": {
+        "prompt": "last two days",
+        "now": "2025-05-19T11:26:28.542076Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-17T00:00:00Z",
+        "end_timestamp": "2025-05-19T11:26:28Z",
+        "explanation": "Includes data from the last two complete days up to the current time."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "Since the pope was elected",
+      "inputs": {
+        "prompt": "Since the pope was elected",
+        "now": "2025-05-19T11:26:46.986403Z"
+      },
+      "expected_output": {
+        "error": "Unable to determine a specific time range as the prompt does not specify a date or period related to when the pope was elected."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderError"
+        }
+      ]
+    },
+    {
+      "name": "Since the ides of march",
+      "inputs": {
+        "prompt": "Since the ides of march",
+        "now": "2025-05-19T11:27:14.807622Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-03-15T00:00:00Z",
+        "end_timestamp": "2025-05-19T11:27:14Z",
+        "explanation": "The Ides of March refers to March 15th, hence starting the range from midnight on that date up to the current time. Assume UTC for unspecified timezone."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "Since the start of corona",
+      "inputs": {
+        "prompt": "Since the start of corona",
+        "now": "2025-05-19T11:27:29.327719Z"
+      },
+      "expected_output": {
+        "error": "Unable to determine a specific time range for 'the start of corona'. Please provide more specific dates or time range."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderError"
+        }
+      ]
+    },
+    {
+      "name": "Since the start of the corona pandemic",
+      "inputs": {
+        "prompt": "Since the start of the corona pandemic",
+        "now": "2025-05-19T11:27:38.276698Z"
+      },
+      "expected_output": {
+        "error": "The request 'Since the start of the corona pandemic' does not specify a valid time range within the last 30 days."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderError"
+        }
+      ]
+    },
+    {
+      "name": "Since Trump was elected",
+      "inputs": {
+        "prompt": "Since Trump was elected",
+        "now": "2025-05-19T11:27:59.568996Z"
+      },
+      "expected_output": {
+        "error": "The timeframe 'since Trump was elected' is too ambiguous for precise conversion, and historical coverage limits apply."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderError"
+        }
+      ]
+    },
+    {
+      "name": "6:37 today",
+      "inputs": {
+        "prompt": "6:37 today",
+        "now": "2025-05-19T12:54:21.103248Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-19T06:32:00Z",
+        "end_timestamp": "2025-05-19T06:42:00Z",
+        "explanation": "Selected a 10-minute window around 6:37 AM today, assuming UTC time since no timezone was specified."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "last one minute",
+      "inputs": {
+        "prompt": "last one minute",
+        "now": "2025-05-19T13:54:54.593349Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-19T13:53:54Z",
+        "end_timestamp": "2025-05-19T13:54:54Z",
+        "explanation": "Selected the last minute up to now."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "last 30 minutes",
+      "inputs": {
+        "prompt": "last 30 minutes",
+        "now": "2025-05-19T20:11:41.346068Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-19T19:41:41Z",
+        "end_timestamp": "2025-05-19T20:11:41Z",
+        "explanation": ""
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "last night's overnight's shift",
+      "inputs": {
+        "prompt": "last night's overnight's shift",
+        "now": "2025-05-20T12:24:07.8895Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-19T22:00:00Z",
+        "end_timestamp": "2025-05-20T06:00:00Z",
+        "explanation": "Assumed the overnight shift started at 10 PM and ended at 6 AM UTC."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "last two hours",
+      "inputs": {
+        "prompt": "last two hours",
+        "now": "2025-05-20T16:05:23.657327Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-20T14:05:23Z",
+        "end_timestamp": "2025-05-20T16:05:23Z",
+        "explanation": ""
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "yesterday 4 - 6p pt",
+      "inputs": {
+        "prompt": "yesterday 4 - 6p pt",
+        "now": "2025-05-21T04:42:59.059277Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-19T16:00:00-07:00",
+        "end_timestamp": "2025-05-19T18:00:00-07:00",
+        "explanation": ""
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "Last 2 minutes",
+      "inputs": {
+        "prompt": "Last 2 minutes",
+        "now": "2025-05-21T12:03:03.948738Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-21T12:01:03Z",
+        "end_timestamp": "2025-05-21T12:03:03Z",
+        "explanation": "Includes the last 2 minutes up to now."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "last 20 minutes",
+      "inputs": {
+        "prompt": "last 20 minutes",
+        "now": "2025-05-21T17:39:14.441124Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-21T17:19:14Z",
+        "end_timestamp": "2025-05-21T17:39:14Z",
+        "explanation": "Selected the time range starting 20 minutes before the current time."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "today",
+      "inputs": {
+        "prompt": "today",
+        "now": "2025-05-21T17:45:18.842241Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-21T00:00:00Z",
+        "end_timestamp": "2025-05-21T17:45:18Z",
+        "explanation": "Includes all of today from midnight to the current time."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "last day",
+      "inputs": {
+        "prompt": "last day",
+        "now": "2025-05-21T18:56:20.77286Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-20T18:56:20Z",
+        "end_timestamp": "2025-05-21T18:56:20Z",
+        "explanation": "Includes the last 24 hours in UTC."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "I want the good times",
+      "inputs": {
+        "prompt": "I want the good times",
+        "now": "2025-05-22T07:40:50.130171Z"
+      },
+      "expected_output": {
+        "error": "Unable to determine a specific time range based on the user's request."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderError"
+        }
+      ]
+    },
+    {
+      "name": "When was there most problems and errors",
+      "inputs": {
+        "prompt": "When was there most problems and errors",
+        "now": "2025-05-22T07:41:06.025424Z"
+      },
+      "expected_output": {
+        "error": "Unable to determine a specific time range from the provided prompt."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderError"
+        }
+      ]
+    },
+    {
+      "name": "Largest amount or errors",
+      "inputs": {
+        "prompt": "Largest amount or errors",
+        "now": "2025-05-22T07:41:19.271831Z"
+      },
+      "expected_output": {
+        "error": "Unable to determine a specific time range due to insufficient context provided."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderError"
+        }
+      ]
+    },
+    {
+      "name": "May 1998",
+      "inputs": {
+        "prompt": "May 1998",
+        "now": "2025-05-22T07:41:37.561287Z"
+      },
+      "expected_output": {
+        "error": "The specified time range 'May 1998' is outside the bounds of the available data, which is limited to the past 30 days."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderError"
+        }
+      ]
+    },
+    {
+      "name": "the day before yesterday",
+      "inputs": {
+        "prompt": "the day before yesterday",
+        "now": "2025-05-22T07:41:57.575321Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-20T00:00:00Z",
+        "end_timestamp": "2025-05-21T00:00:00Z",
+        "explanation": "Includes all of the day before yesterday from midnight to midnight UTC."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "last 24 hours",
+      "inputs": {
+        "prompt": "last 24 hours",
+        "now": "2025-05-22T13:31:40.607186Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-21T13:31:40Z",
+        "end_timestamp": "2025-05-22T13:31:40Z",
+        "explanation": ""
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "last 3 minutes",
+      "inputs": {
+        "prompt": "last 3 minutes",
+        "now": "2025-05-22T14:27:37.642684Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-22T14:24:37Z",
+        "end_timestamp": "2025-05-22T14:27:37Z",
+        "explanation": "Selected the last 3 minutes up to now."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "F10 mins",
+      "inputs": {
+        "prompt": "F10 mins",
+        "now": "2025-05-23T10:03:46.216558Z"
+      },
+      "expected_output": {
+        "error": "Unable to determine a specific time range from the input 'F10 mins'."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderError"
+        }
+      ]
+    },
+    {
+      "name": "F0 mins",
+      "inputs": {
+        "prompt": "F0 mins",
+        "now": "2025-05-23T10:03:52.323397Z"
+      },
+      "expected_output": {
+        "error": "Unable to determine a specific time range based on 'F0 mins'."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderError"
+        }
+      ]
+    },
+    {
+      "name": "10 mins",
+      "inputs": {
+        "prompt": "10 mins",
+        "now": "2025-05-23T10:03:55.105016Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-23T09:53:55Z",
+        "end_timestamp": "2025-05-23T10:03:55Z",
+        "explanation": "Selected the last 10 minutes up to the current time."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "this hour",
+      "inputs": {
+        "prompt": "this hour",
+        "now": "2025-05-23T10:32:02.316016Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-23T10:00:00Z",
+        "end_timestamp": "2025-05-23T11:00:00Z",
+        "explanation": "Selected the current hour from the start until the end."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "last hour",
+      "inputs": {
+        "prompt": "last hour",
+        "now": "2025-05-23T11:58:24.662938Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-23T10:58:24Z",
+        "end_timestamp": "2025-05-23T11:58:24Z",
+        "explanation": "Includes the last hour up to the current time."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "around 4pm yesterday",
+      "inputs": {
+        "prompt": "around 4pm yesterday",
+        "now": "2025-05-23T14:01:06.266425Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-22T15:55:00Z",
+        "end_timestamp": "2025-05-22T16:05:00Z",
+        "explanation": "Selected a 10-minute window around 4 PM UTC yesterday as the specified time is ambiguous in terms of timezone. Assumed UTC as the timezone."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "around 4pm yesterday afternoon",
+      "inputs": {
+        "prompt": "around 4pm yesterday afternoon",
+        "now": "2025-05-23T14:14:20.917264Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-22T15:55:00Z",
+        "end_timestamp": "2025-05-22T16:05:00Z",
+        "explanation": "Selected a 10-minute window around 4 PM yesterday afternoon, using UTC as the timezone."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "Today between 5 and 7am",
+      "inputs": {
+        "prompt": "Today between 5 and 7am",
+        "now": "2025-05-24T09:41:22.078545Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-24T05:00:00Z",
+        "end_timestamp": "2025-05-24T07:00:00Z",
+        "explanation": "Assumed the user meant today in UTC, covering the specified time range this morning."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "13 hours ago",
+      "inputs": {
+        "prompt": "13 hours ago",
+        "now": "2025-05-26T06:42:43.875029Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-25T17:00:00Z",
+        "end_timestamp": "2025-05-25T18:00:00Z",
+        "explanation": "Selected an hour interval around 13 hours ago."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "all the logs that came on 23 may",
+      "inputs": {
+        "prompt": "all the logs that came on 23 may",
+        "now": "2025-05-26T14:47:46.088259Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-23T00:00:00Z",
+        "end_timestamp": "2025-05-24T00:00:00Z",
+        "explanation": "Includes all logs from May 23, 2025, from midnight to midnight UTC."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "last three houres",
+      "inputs": {
+        "prompt": "last three houres",
+        "now": "2025-05-26T19:30:39.802552Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-26T16:30:39Z",
+        "end_timestamp": "2025-05-26T19:30:39Z",
+        "explanation": "Covers the time range from three hours ago up to the current time. UTC timezone was used as no specific timezone was specified."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "everything on 26th may",
+      "inputs": {
+        "prompt": "everything on 26th may",
+        "now": "2025-05-27T07:08:45.62144Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-26T00:00:00Z",
+        "end_timestamp": "2025-05-27T00:00:00Z",
+        "explanation": "Includes all data from May 26, 2025, from midnight to midnight UTC."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "this year",
+      "inputs": {
+        "prompt": "this year",
+        "now": "2025-05-27T14:12:34.592669Z"
+      },
+      "expected_output": {
+        "error": "Only the last 30 days are available."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderError"
+        }
+      ]
+    },
+    {
+      "name": "2 days prior",
+      "inputs": {
+        "prompt": "2 days prior",
+        "now": "2025-05-29T18:00:00.23461Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-27T00:00:00Z",
+        "end_timestamp": "2025-05-29T00:00:00Z",
+        "explanation": "Covers the last two full days."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "every log on 28 may",
+      "inputs": {
+        "prompt": "every log on 28 may",
+        "now": "2025-05-30T07:08:32.733485Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-28T00:00:00Z",
+        "end_timestamp": "2025-05-29T00:00:00Z",
+        "explanation": "Includes all logs for May 28, 2025, from midnight to midnight in UTC."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "yesterday full",
+      "inputs": {
+        "prompt": "yesterday full",
+        "now": "2025-05-30T08:39:55.438394Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-29T00:00:00Z",
+        "end_timestamp": "2025-05-30T00:00:00Z",
+        "explanation": "Includes all of yesterday from midnight to midnight."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "-15m",
+      "inputs": {
+        "prompt": "-15m",
+        "now": "2025-05-30T13:11:40.247323Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-30T12:56:40Z",
+        "end_timestamp": "2025-05-30T13:11:40Z",
+        "explanation": "Selected the past 15 minutes from now."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "real time",
+      "inputs": {
+        "prompt": "real time",
+        "now": "2025-05-30T13:16:28.882284Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-04-30T13:16:28Z",
+        "end_timestamp": "2025-04-30T13:16:28Z",
+        "explanation": "Selected the current time as both the minimum and maximum timestamp for real-time data."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "last 15 min",
+      "inputs": {
+        "prompt": "last 15 min",
+        "now": "2025-06-03T01:38:12.246178Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-06-03T01:23:12Z",
+        "end_timestamp": "2025-06-03T01:38:12Z",
+        "explanation": "Includes data from the last 15 minutes up to now, using UTC timezone."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "last 7 days",
+      "inputs": {
+        "prompt": "last 7 days",
+        "now": "2025-06-03T04:07:10.345668Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-27T04:07:10Z",
+        "end_timestamp": "2025-06-03T04:07:10Z",
+        "explanation": "Includes the last 7 days up to now."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "30 day",
+      "inputs": {
+        "prompt": "30 day",
+        "now": "2025-06-03T16:26:27.901725Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-05-04T16:26:27Z",
+        "end_timestamp": "2025-06-03T16:26:27Z",
+        "explanation": "Include the last 30 days."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "-23min",
+      "inputs": {
+        "prompt": "-23min",
+        "now": "2025-06-03T16:39:03.489455Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-06-03T16:16:03Z",
+        "end_timestamp": "2025-06-03T16:39:03Z",
+        "explanation": "The time range covers the last 23 minutes up to the current time."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "yesterday between 3 and 4 PM PST",
+      "inputs": {
+        "prompt": "yesterday between 3 and 4 PM PST",
+        "now": "2025-06-04T18:21:34.734575Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-06-03T15:00:00-08:00",
+        "end_timestamp": "2025-06-03T16:00:00-08:00",
+        "explanation": ""
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "4pm yesterday",
+      "inputs": {
+        "prompt": "4pm yesterday",
+        "now": "2025-06-04T18:38:39.314292Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-06-03T16:00:00Z",
+        "end_timestamp": "2025-06-03T16:10:00Z",
+        "explanation": "Selected a 10-minute window around 4 PM UTC yesterday. Assumed UTC since no timezone was specified."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "june 4 all",
+      "inputs": {
+        "prompt": "june 4 all",
+        "now": "2025-06-05T11:09:08.53123Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-06-04T00:00:00Z",
+        "end_timestamp": "2025-06-05T00:00:00Z",
+        "explanation": "Selected the entirety of June 4th, 2025 from midnight to midnight in UTC."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "june 4 6pm to 6:30 pm",
+      "inputs": {
+        "prompt": "june 4 6pm to 6:30 pm",
+        "now": "2025-06-05T11:09:39.44352Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-06-04T18:00:00Z",
+        "end_timestamp": "2025-06-04T18:30:00Z",
+        "explanation": "Since the specific day is in the past 24 hours, selected the times on June 4, 2025, in UTC timezone."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "june 4 6:00pm to 6:30pm",
+      "inputs": {
+        "prompt": "june 4 6:00pm to 6:30pm",
+        "now": "2025-06-05T11:10:10.877532Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-06-04T18:00:00Z",
+        "end_timestamp": "2025-06-04T18:30:00Z",
+        "explanation": "Assumed UTC timezone, selecting June 4th within the past 30 days range."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "12:34:00 to 12:35",
+      "inputs": {
+        "prompt": "12:34:00 to 12:35",
+        "now": "2025-06-05T16:39:48.452375Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-06-05T12:34:00Z",
+        "end_timestamp": "2025-06-05T12:35:00Z",
+        "explanation": "Assuming the user wants a time range today based on the current time and includes the same minute but the following hour in the past 24-hour period (UTC)."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "16:24",
+      "inputs": {
+        "prompt": "16:24",
+        "now": "2025-06-06T13:49:30.71593Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-06-05T16:19:00Z",
+        "end_timestamp": "2025-06-05T16:29:00Z",
+        "explanation": "Selected a 10-minute window around 16:24 assuming the time is in the past 24 hours as the specific day was not mentioned, using UTC."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "5mins",
+      "inputs": {
+        "prompt": "5mins",
+        "now": "2025-06-11T12:36:54.176109Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-06-11T12:31:54Z",
+        "end_timestamp": "2025-06-11T12:36:54Z",
+        "explanation": "Includes the last 5 minutes up to the current time."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "11:30am to 12pm",
+      "inputs": {
+        "prompt": "11:30am to 12pm",
+        "now": "2025-06-12T02:24:56.267486Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-06-11T11:30:00Z",
+        "end_timestamp": "2025-06-11T12:00:00Z",
+        "explanation": "Assumed the time range is for the past day based on the current time (June 12, 2025, 02:24:56 UTC), and times are interpreted in UTC due to lack of timezone specification."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "Last 2 hours",
+      "inputs": {
+        "prompt": "Last 2 hours",
+        "now": "2025-06-13T22:24:14.499335Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-06-13T20:24:14Z",
+        "end_timestamp": "2025-06-13T22:24:14Z",
+        "explanation": ""
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "May",
+      "inputs": {
+        "prompt": "May",
+        "now": "2025-06-16T06:38:52.402917Z"
+      },
+      "expected_output": {
+        "error": "Cannot determine a specific time range for 'May' without the context of a specific year or additional instructions."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderError"
+        }
+      ]
+    },
+    {
+      "name": "may 2025",
+      "inputs": {
+        "prompt": "may 2025",
+        "now": "2025-06-16T06:39:01.593593Z"
+      },
+      "expected_output": {
+        "error": "The specified time is outside the available data range. Only data from the last 30 days is available, and it is currently June 16, 2025."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderError"
+        }
+      ]
+    },
+    {
+      "name": "Last 1 minute",
+      "inputs": {
+        "prompt": "Last 1 minute",
+        "now": "2025-06-16T15:40:55.858785Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-06-16T15:39:55Z",
+        "end_timestamp": "2025-06-16T15:40:55Z",
+        "explanation": ""
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "June 13",
+      "inputs": {
+        "prompt": "June 13",
+        "now": "2025-06-17T08:29:26.756514Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-06-13T00:00:00Z",
+        "end_timestamp": "2025-06-13T23:59:59Z",
+        "explanation": "Selected the entire day of June 13 in the past 24 hours, using UTC timezone for clarity."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "last 21 hrs",
+      "inputs": {
+        "prompt": "last 21 hrs",
+        "now": "2025-06-17T21:40:54.550569Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-06-16T00:40:54Z",
+        "end_timestamp": "2025-06-17T21:40:54Z",
+        "explanation": ""
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "today from 6 am to now",
+      "inputs": {
+        "prompt": "today from 6 am to now",
+        "now": "2025-06-20T12:07:40.299535Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-06-20T06:00:00Z",
+        "end_timestamp": "2025-06-20T12:07:40Z",
+        "explanation": ""
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "Between 1 and 3 am",
+      "inputs": {
+        "prompt": "Between 1 and 3 am",
+        "now": "2025-06-22T08:05:02.629754Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-06-22T01:00:00Z",
+        "end_timestamp": "2025-06-22T03:00:00Z",
+        "explanation": "Assumed the user meant between 1 and 3 AM today, converted to UTC."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "grab me 12 hours from yesterday 2pm",
+      "inputs": {
+        "prompt": "grab me 12 hours from yesterday 2pm",
+        "now": "2025-06-23T07:59:07.933531Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-06-22T14:00:00Z",
+        "end_timestamp": "2025-06-23T02:00:00Z",
+        "explanation": "Selected a 12-hour period starting from 2 PM yesterday UTC."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "grab me 12 hours from yesterday 2pm CET",
+      "inputs": {
+        "prompt": "grab me 12 hours from yesterday 2pm CET",
+        "now": "2025-06-23T07:59:26.554771Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2023-06-22T14:00:00+02:00",
+        "end_timestamp": "2023-06-23T02:00:00+02:00",
+        "explanation": "Includes the 12 hours starting from 2 PM CET yesterday."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "go backwards 12 hours from yesterday 2pm CET",
+      "inputs": {
+        "prompt": "go backwards 12 hours from yesterday 2pm CET",
+        "now": "2025-06-23T07:59:52.608633Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-06-21T14:00:00+02:00",
+        "end_timestamp": "2025-06-21T02:00:00+02:00",
+        "explanation": "Selected the 12 hours before 2pm CET yesterday (Sunday, June 22, 2025)."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "today all day",
+      "inputs": {
+        "prompt": "today all day",
+        "now": "2025-06-24T05:10:27.972906Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-06-24T00:00:00Z",
+        "end_timestamp": "2025-06-24T05:10:28Z",
+        "explanation": "Includes all of today's data from midnight to the current time."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "Jun 22 between 8 am and 10 am",
+      "inputs": {
+        "prompt": "Jun 22 between 8 am and 10 am",
+        "now": "2025-06-24T07:59:18.378442Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-06-22T08:00:00Z",
+        "end_timestamp": "2025-06-22T10:00:00Z",
+        "explanation": "Assuming the most recent June 22, which is within the last 24 hours, under the assumption that the user wants recent data."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "last 4 days",
+      "inputs": {
+        "prompt": "last 4 days",
+        "now": "2025-06-24T15:13:42.757996Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-06-20T15:13:42Z",
+        "end_timestamp": "2025-06-24T15:13:42Z",
+        "explanation": "Includes the last 4 days up to the current time."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "last 2 minutes",
+      "inputs": {
+        "prompt": "last 2 minutes",
+        "now": "2025-06-24T15:43:08.960154Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-06-24T15:41:08Z",
+        "end_timestamp": "2025-06-24T15:43:08Z",
+        "explanation": ""
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "all time",
+      "inputs": {
+        "prompt": "all time",
+        "now": "2025-06-24T18:50:30.162306Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2024-05-25T18:50:30Z",
+        "end_timestamp": "2025-06-24T18:50:30Z",
+        "explanation": "Only includes the last 30 days."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "Jun 26 13:15:23 PM",
+      "inputs": {
+        "prompt": "Jun 26 13:15:23 PM",
+        "now": "2025-06-26T19:43:46.8541Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-06-26T13:10:23Z",
+        "end_timestamp": "2025-06-26T13:20:23Z",
+        "explanation": "Selected a 10-minute window around the specified time. Assuming UTC as no timezone was provided."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    },
+    {
+      "name": "yesterday around 2pm",
+      "inputs": {
+        "prompt": "yesterday around 2pm",
+        "now": "2025-06-27T08:25:03.095395Z"
+      },
+      "expected_output": {
+        "start_timestamp": "2025-06-26T13:55:00Z",
+        "end_timestamp": "2025-06-26T14:05:00Z",
+        "explanation": "Selected a 10-minute window around 2 PM UTC yesterday."
+      },
+      "evaluators": [
+        {
+          "IsInstance": "TimeRangeBuilderSuccess"
+        }
+      ]
+    }
+  ]
+}
diff --git a/human-seeded-evals/evals/main.py b/human-seeded-evals/evals/main.py
new file mode 100644
index 0000000..e3de197
--- /dev/null
+++ b/human-seeded-evals/evals/main.py
@@ -0,0 +1,29 @@
+import sys
+from pathlib import Path
+from types import NoneType
+
+import logfire
+from pydantic_evals import Dataset
+
+sys.path.append(str(Path(__file__).parent.parent))
+
+from custom_evaluators import CUSTOM_EVALUATOR_TYPES
+
+from app.agent import infer_time_range
+from app.models import TimeRangeInputs, TimeRangeResponse
+
+logfire.configure(environment='evals')
+logfire.instrument_pydantic_ai()
+
+
+def evaluate_dataset():
+    dataset_path = Path(__file__).parent / 'dataset.json'
+    dataset = Dataset[TimeRangeInputs, TimeRangeResponse, NoneType].from_file(
+        dataset_path, custom_evaluator_types=CUSTOM_EVALUATOR_TYPES
+    )
+    report = dataset.evaluate_sync(infer_time_range)
+    print(report)
+
+
+if __name__ == '__main__':
+    evaluate_dataset()
diff --git a/human-seeded-evals/evals/map_data.py b/human-seeded-evals/evals/map_data.py
new file mode 100644
index 0000000..12ea976
--- /dev/null
+++ b/human-seeded-evals/evals/map_data.py
@@ -0,0 +1,74 @@
+"""
+[
+  {
+    "timestamp": "2025-05-01T05:41:30.311402Z",
+    "input": "Last 2 hour",
+    "final_result": {
+      "min_timestamp_with_offset": "2025-05-01T03:41:30Z",
+      "max_timestamp_with_offset": "2025-05-01T05:41:30Z",
+      "explanation": "",
+      "error_message": null
+    }
+  },
+"""
+
+from pathlib import Path
+from typing import Any
+
+from pydantic import BaseModel, TypeAdapter
+
+
+class InputData(BaseModel):
+    timestamp: str
+    input: str
+    final_result: dict[str, Any]
+
+
+"""
+
+- name: Single day mention
+  inputs:
+    prompt: I want to see logs from 2021-05-08
+    now: '2023-10-28T09:30:00Z'
+  expected_output:
+    min_timestamp_with_offset: '2021-05-08T00:00:00Z'
+    max_timestamp_with_offset: '2021-05-08T23:59:59Z'
+    explanation: You mentioned a single day (2021-05-08). The entire day is used.
+  evaluators:
+  - IsInstance: TimeRangeBuilderSuccess
+"""
+
+
+class Case(BaseModel):
+    name: str
+    inputs: dict[str, Any]
+    expected_output: dict[str, Any]
+    evaluators: list[dict[str, Any]]
+
+
+def map_data(input_data: InputData) -> Case:
+    expected_output = {k: v for k, v in input_data.final_result.items() if v is not None}
+    if 'error_message' in expected_output:
+        evaluators = [{'IsInstance': 'TimeRangeBuilderError'}]
+    else:
+        evaluators = [{'IsInstance': 'TimeRangeBuilderSuccess'}]
+    return Case(
+        name=input_data.input,
+        inputs={'prompt': input_data.input, 'now': input_data.timestamp},
+        expected_output=expected_output,
+        evaluators=evaluators,
+    )
+
+
+input_schema = TypeAdapter(list[InputData])
+
+
+class Output(BaseModel):
+    cases: list[Case]
+
+
+this_dir = Path(__file__).parent
+input_data = input_schema.validate_json(Path(this_dir / 'scratch' / 'real_world.json').read_bytes())
+
+output = Output(cases=[map_data(data) for data in input_data])
+(this_dir / 'evals' / 'dataset.json').write_text(output.model_dump_json(indent=2))
diff --git a/human-seeded-evals/frontend/.claude/settings.local.json b/human-seeded-evals/frontend/.claude/settings.local.json
new file mode 100644
index 0000000..de79600
--- /dev/null
+++ b/human-seeded-evals/frontend/.claude/settings.local.json
@@ -0,0 +1,9 @@
+{
+  "permissions": {
+    "allow": [
+      "Bash(npm run typecheck:*)",
+      "Bash(npm run lint)"
+    ],
+    "deny": []
+  }
+}
\ No newline at end of file
diff --git a/human-seeded-evals/frontend/.gitignore b/human-seeded-evals/frontend/.gitignore
new file mode 100644
index 0000000..a547bf3
--- /dev/null
+++ b/human-seeded-evals/frontend/.gitignore
@@ -0,0 +1,24 @@
+# Logs
+logs
+*.log
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+pnpm-debug.log*
+lerna-debug.log*
+
+node_modules
+dist
+dist-ssr
+*.local
+
+# Editor directories and files
+.vscode/*
+!.vscode/extensions.json
+.idea
+.DS_Store
+*.suo
+*.ntvs*
+*.njsproj
+*.sln
+*.sw?
diff --git a/human-seeded-evals/frontend/CLAUDE.md b/human-seeded-evals/frontend/CLAUDE.md
new file mode 100644
index 0000000..6a0284d
--- /dev/null
+++ b/human-seeded-evals/frontend/CLAUDE.md
@@ -0,0 +1,60 @@
+# CLAUDE.md
+
+This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
+
+## Development Commands
+
+### Core Scripts
+- `npm run dev` - Start development server with hot reload
+- `npm run build` - Build for production (runs TypeScript check + Vite build)
+- `npm run preview` - Preview production build locally
+- `npm run lint` - Run ESLint on all TypeScript/TSX files
+- `npm run typecheck` - Run TypeScript compiler for type checking only
+
+### Code Quality
+Always run both `npm run lint` and `npm run typecheck` before committing changes to ensure code quality.
+
+## Technology Stack
+
+**Frontend Framework:** React 19 with TypeScript
+**Build Tool:** Vite 7
+**Styling:** Tailwind CSS 4
+**Type Checking:** TypeScript 5.8
+**Code Quality:** ESLint 9 with TypeScript ESLint, React Hooks, and React Refresh plugins
+
+## Project Structure
+
+```
+src/
+├── main.tsx      # Application entry point
+├── App.tsx       # Root React component
+├── main.css      # Global styles (Tailwind imports)
+└── vite-env.d.ts # Vite type definitions
+```
+
+## Configuration Files
+
+- **vite.config.js** - Vite configuration with Tailwind CSS and React plugins
+- **tsconfig.json** - TypeScript configuration with strict type checking
+- **eslint.config.js** - ESLint configuration using TypeScript ESLint
+- **package.json** - Dependencies and npm scripts
+
+## Development Notes
+
+- Uses React 19's latest features
+- Strict TypeScript configuration with `noUnusedLocals` and `noUnusedParameters`
+- ESLint configured for TypeScript files (`.ts`, `.tsx`) only
+- Tailwind CSS 4 integrated via Vite plugin
+- No testing framework currently configured
+
+You are in a minimal typescript react app with tailwindcss.
+
+Use dummy data while building this app, put all the dummy data in a single file `api.ts` with async methods to "fetch" data so it's easy to replace with real API calls later.
+
+Run `npm run typecheck` and `npm run lint` regularly to check for errors.
+
+Before building pages, define the set of common components that will be used across the app, such as buttons, input fields, and cards. Then use these whenever possible to avoid duplication.
+
+Use tailwindcss for styling.
+
+The app should be clean and modern with no drop shadows or gradients, the background color should be a light cream color, and the main content, should have white backgrounds. The text should be the "IMB Plex Sans" font from google fonts.
diff --git a/human-seeded-evals/frontend/README.md b/human-seeded-evals/frontend/README.md
new file mode 100644
index 0000000..2b231e2
--- /dev/null
+++ b/human-seeded-evals/frontend/README.md
@@ -0,0 +1 @@
+# Mimimal React App
diff --git a/human-seeded-evals/frontend/eslint.config.js b/human-seeded-evals/frontend/eslint.config.js
new file mode 100644
index 0000000..d94e7de
--- /dev/null
+++ b/human-seeded-evals/frontend/eslint.config.js
@@ -0,0 +1,23 @@
+import js from '@eslint/js'
+import globals from 'globals'
+import reactHooks from 'eslint-plugin-react-hooks'
+import reactRefresh from 'eslint-plugin-react-refresh'
+import tseslint from 'typescript-eslint'
+import { globalIgnores } from 'eslint/config'
+
+export default tseslint.config([
+  globalIgnores(['dist']),
+  {
+    files: ['**/*.{ts,tsx}'],
+    extends: [
+      js.configs.recommended,
+      tseslint.configs.recommended,
+      reactHooks.configs['recommended-latest'],
+      reactRefresh.configs.vite,
+    ],
+    languageOptions: {
+      ecmaVersion: 2020,
+      globals: globals.browser,
+    },
+  },
+])
diff --git a/human-seeded-evals/frontend/index.html b/human-seeded-evals/frontend/index.html
new file mode 100644
index 0000000..3423280
--- /dev/null
+++ b/human-seeded-evals/frontend/index.html
@@ -0,0 +1,12 @@
+<!doctype html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <title>Time Interval</title>
+  </head>
+  <body>
+    <div id="root"></div>
+    <script type="module" src="/src/main.tsx"></script>
+  </body>
+</html>
diff --git a/human-seeded-evals/frontend/package-lock.json b/human-seeded-evals/frontend/package-lock.json
new file mode 100644
index 0000000..3ecab42
--- /dev/null
+++ b/human-seeded-evals/frontend/package-lock.json
@@ -0,0 +1,4058 @@
+{
+  "name": "frontend",
+  "version": "0.0.0",
+  "lockfileVersion": 3,
+  "requires": true,
+  "packages": {
+    "": {
+      "name": "frontend",
+      "version": "0.0.0",
+      "dependencies": {
+        "react": "^19.1.0",
+        "react-dom": "^19.1.0"
+      },
+      "devDependencies": {
+        "@eslint/js": "^9.29.0",
+        "@tailwindcss/vite": "^4.1.11",
+        "@types/react": "^19.1.8",
+        "@types/react-dom": "^19.1.6",
+        "@vitejs/plugin-react": "^4.5.2",
+        "eslint": "^9.29.0",
+        "eslint-plugin-react-hooks": "^5.2.0",
+        "eslint-plugin-react-refresh": "^0.4.20",
+        "globals": "^16.2.0",
+        "tailwindcss": "^4.1.11",
+        "typescript": "~5.8.3",
+        "typescript-eslint": "^8.34.1",
+        "vite": "^7.0.0"
+      }
+    },
+    "node_modules/@ampproject/remapping": {
+      "version": "2.3.0",
+      "resolved": "https://registry.npmjs.org/@ampproject/remapping/-/remapping-2.3.0.tgz",
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+      "dev": true,
+      "license": "Apache-2.0",
+      "dependencies": {
+        "@jridgewell/gen-mapping": "^0.3.5",
+        "@jridgewell/trace-mapping": "^0.3.24"
+      },
+      "engines": {
+        "node": ">=6.0.0"
+      }
+    },
+    "node_modules/@babel/code-frame": {
+      "version": "7.27.1",
+      "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.27.1.tgz",
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+      "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "@babel/helper-validator-identifier": "^7.27.1",
+        "js-tokens": "^4.0.0",
+        "picocolors": "^1.1.1"
+      },
+      "engines": {
+        "node": ">=6.9.0"
+      }
+    },
+    "node_modules/@babel/compat-data": {
+      "version": "7.27.7",
+      "resolved": "https://registry.npmjs.org/@babel/compat-data/-/compat-data-7.27.7.tgz",
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+      "dev": true,
+      "license": "MIT",
+      "engines": {
+        "node": ">=6.9.0"
+      }
+    },
+    "node_modules/@babel/core": {
+      "version": "7.27.7",
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+      "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "@ampproject/remapping": "^2.2.0",
+        "@babel/code-frame": "^7.27.1",
+        "@babel/generator": "^7.27.5",
+        "@babel/helper-compilation-targets": "^7.27.2",
+        "@babel/helper-module-transforms": "^7.27.3",
+        "@babel/helpers": "^7.27.6",
+        "@babel/parser": "^7.27.7",
+        "@babel/template": "^7.27.2",
+        "@babel/traverse": "^7.27.7",
+        "@babel/types": "^7.27.7",
+        "convert-source-map": "^2.0.0",
+        "debug": "^4.1.0",
+        "gensync": "^1.0.0-beta.2",
+        "json5": "^2.2.3",
+        "semver": "^6.3.1"
+      },
+      "engines": {
+        "node": ">=6.9.0"
+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/babel"
+      }
+    },
+    "node_modules/@babel/generator": {
+      "version": "7.27.5",
+      "resolved": "https://registry.npmjs.org/@babel/generator/-/generator-7.27.5.tgz",
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+        "jsesc": "^3.0.2"
+      },
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+      }
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+        "semver": "^6.3.1"
+      },
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+        "node": ">=6.9.0"
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+    },
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+        "@babel/types": "^7.27.1"
+      },
+      "engines": {
+        "node": ">=6.9.0"
+      }
+    },
+    "node_modules/@babel/helper-module-transforms": {
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+      "license": "MIT",
+      "dependencies": {
+        "@babel/helper-module-imports": "^7.27.1",
+        "@babel/helper-validator-identifier": "^7.27.1",
+        "@babel/traverse": "^7.27.3"
+      },
+      "engines": {
+        "node": ">=6.9.0"
+      },
+      "peerDependencies": {
+        "@babel/core": "^7.0.0"
+      }
+    },
+    "node_modules/@babel/helper-plugin-utils": {
+      "version": "7.27.1",
+      "resolved": "https://registry.npmjs.org/@babel/helper-plugin-utils/-/helper-plugin-utils-7.27.1.tgz",
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+      "dev": true,
+      "license": "MIT",
+      "engines": {
+        "node": ">=6.9.0"
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+        "lightningcss": "^1.21.0",
+        "sass": "^1.70.0",
+        "sass-embedded": "^1.70.0",
+        "stylus": ">=0.54.8",
+        "sugarss": "^5.0.0",
+        "terser": "^5.16.0",
+        "tsx": "^4.8.1",
+        "yaml": "^2.4.2"
+      },
+      "peerDependenciesMeta": {
+        "@types/node": {
+          "optional": true
+        },
+        "jiti": {
+          "optional": true
+        },
+        "less": {
+          "optional": true
+        },
+        "lightningcss": {
+          "optional": true
+        },
+        "sass": {
+          "optional": true
+        },
+        "sass-embedded": {
+          "optional": true
+        },
+        "stylus": {
+          "optional": true
+        },
+        "sugarss": {
+          "optional": true
+        },
+        "terser": {
+          "optional": true
+        },
+        "tsx": {
+          "optional": true
+        },
+        "yaml": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/vite/node_modules/fdir": {
+      "version": "6.4.6",
+      "resolved": "https://registry.npmjs.org/fdir/-/fdir-6.4.6.tgz",
+      "integrity": "sha512-hiFoqpyZcfNm1yc4u8oWCf9A2c4D3QjCrks3zmoVKVxpQRzmPNar1hUJcBG2RQHvEVGDN+Jm81ZheVLAQMK6+w==",
+      "dev": true,
+      "license": "MIT",
+      "peerDependencies": {
+        "picomatch": "^3 || ^4"
+      },
+      "peerDependenciesMeta": {
+        "picomatch": {
+          "optional": true
+        }
+      }
+    },
+    "node_modules/vite/node_modules/picomatch": {
+      "version": "4.0.2",
+      "resolved": "https://registry.npmjs.org/picomatch/-/picomatch-4.0.2.tgz",
+      "integrity": "sha512-M7BAV6Rlcy5u+m6oPhAPFgJTzAioX/6B0DxyvDlo9l8+T3nLKbrczg2WLUyzd45L8RqfUMyGPzekbMvX2Ldkwg==",
+      "dev": true,
+      "license": "MIT",
+      "engines": {
+        "node": ">=12"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/jonschlinkert"
+      }
+    },
+    "node_modules/which": {
+      "version": "2.0.2",
+      "resolved": "https://registry.npmjs.org/which/-/which-2.0.2.tgz",
+      "integrity": "sha512-BLI3Tl1TW3Pvl70l3yq3Y64i+awpwXqsGBYWkkqMtnbXgrMD+yj7rhW0kuEDxzJaYXGjEW5ogapKNMEKNMjibA==",
+      "dev": true,
+      "license": "ISC",
+      "dependencies": {
+        "isexe": "^2.0.0"
+      },
+      "bin": {
+        "node-which": "bin/node-which"
+      },
+      "engines": {
+        "node": ">= 8"
+      }
+    },
+    "node_modules/word-wrap": {
+      "version": "1.2.5",
+      "resolved": "https://registry.npmjs.org/word-wrap/-/word-wrap-1.2.5.tgz",
+      "integrity": "sha512-BN22B5eaMMI9UMtjrGd5g5eCYPpCPDUy0FJXbYsaT5zYxjFOckS53SQDE3pWkVoWpHXVb3BrYcEN4Twa55B5cA==",
+      "dev": true,
+      "license": "MIT",
+      "engines": {
+        "node": ">=0.10.0"
+      }
+    },
+    "node_modules/yallist": {
+      "version": "3.1.1",
+      "resolved": "https://registry.npmjs.org/yallist/-/yallist-3.1.1.tgz",
+      "integrity": "sha512-a4UGQaWPH59mOXUYnAG2ewncQS4i4F43Tv3JoAM+s2VDAmS9NsK8GpDMLrCHPksFT7h3K6TOoUNn2pb7RoXx4g==",
+      "dev": true,
+      "license": "ISC"
+    },
+    "node_modules/yocto-queue": {
+      "version": "0.1.0",
+      "resolved": "https://registry.npmjs.org/yocto-queue/-/yocto-queue-0.1.0.tgz",
+      "integrity": "sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q==",
+      "dev": true,
+      "license": "MIT",
+      "engines": {
+        "node": ">=10"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
+      }
+    }
+  }
+}
diff --git a/human-seeded-evals/frontend/package.json b/human-seeded-evals/frontend/package.json
new file mode 100644
index 0000000..8e1e01f
--- /dev/null
+++ b/human-seeded-evals/frontend/package.json
@@ -0,0 +1,32 @@
+{
+  "name": "frontend",
+  "private": true,
+  "version": "0.0.0",
+  "type": "module",
+  "scripts": {
+    "dev": "vite",
+    "build": "tsc -b && vite build",
+    "lint": "eslint .",
+    "typecheck": "tsc --noEmit",
+    "preview": "vite preview"
+  },
+  "dependencies": {
+    "react": "^19.1.0",
+    "react-dom": "^19.1.0"
+  },
+  "devDependencies": {
+    "@eslint/js": "^9.29.0",
+    "@tailwindcss/vite": "^4.1.11",
+    "@types/react": "^19.1.8",
+    "@types/react-dom": "^19.1.6",
+    "@vitejs/plugin-react": "^4.5.2",
+    "eslint": "^9.29.0",
+    "eslint-plugin-react-hooks": "^5.2.0",
+    "eslint-plugin-react-refresh": "^0.4.20",
+    "globals": "^16.2.0",
+    "tailwindcss": "^4.1.11",
+    "typescript": "~5.8.3",
+    "typescript-eslint": "^8.34.1",
+    "vite": "^7.0.0"
+  }
+}
diff --git a/human-seeded-evals/frontend/prompt.md b/human-seeded-evals/frontend/prompt.md
new file mode 100644
index 0000000..37a6fec
--- /dev/null
+++ b/human-seeded-evals/frontend/prompt.md
@@ -0,0 +1,12 @@
+# Then run `claude` and copy & paste this prompt.
+
+Build a very simple react app to convert a human description of a time interval into a start and end timestamp.
+
+The app should have just a single input in the middle of the screen with the label "Describe time interval",
+when the users submits the input, we need a loading state while the backend converts the input to a start and end timestamp.
+
+When the backend returns, show the start and end timestamps in a card together with a human summary.
+
+The backend may return an error, in which case show the error message in a card.
+
+The app should be clean and modern with no drop shadows or gradients, the background color should be a light cream color, and the main content, should have white backgrounds. The text should be the "IMB Plex Sans" font from google fonts.
diff --git a/human-seeded-evals/frontend/src/App.tsx b/human-seeded-evals/frontend/src/App.tsx
new file mode 100644
index 0000000..b7654e6
--- /dev/null
+++ b/human-seeded-evals/frontend/src/App.tsx
@@ -0,0 +1,7 @@
+import TimeConverter from './components/TimeConverter';
+
+function App() {
+  return <TimeConverter />;
+}
+
+export default App
diff --git a/human-seeded-evals/frontend/src/api.ts b/human-seeded-evals/frontend/src/api.ts
new file mode 100644
index 0000000..a5d0a52
--- /dev/null
+++ b/human-seeded-evals/frontend/src/api.ts
@@ -0,0 +1,35 @@
+export interface TimeInterval {
+  startTimestamp: string;
+  endTimestamp: string;
+  explanation: string;
+}
+
+export interface ConversionError {
+  error: string;
+}
+
+export async function convertTimeInterval(prompt: string): Promise<TimeInterval | ConversionError> {
+  try {
+    const response = await fetch('/api/timerange', {
+      method: 'POST',
+      headers: {
+        'Content-Type': 'application/json',
+      },
+      body: JSON.stringify({ prompt }),
+    });
+
+    if (!response.ok) {
+      const errorData = await response.json().catch(() => ({}));
+      return {
+        error: errorData.error || `Server error: ${response.status}`
+      };
+    }
+
+    const data = await response.json();
+    return data;
+  } catch {
+    return {
+      error: 'Network error: Unable to connect to server'
+    };
+  }
+}
diff --git a/human-seeded-evals/frontend/src/components/Button.tsx b/human-seeded-evals/frontend/src/components/Button.tsx
new file mode 100644
index 0000000..d70e9de
--- /dev/null
+++ b/human-seeded-evals/frontend/src/components/Button.tsx
@@ -0,0 +1,39 @@
+interface ButtonProps {
+  children: React.ReactNode;
+  onClick: () => void;
+  disabled?: boolean;
+  loading?: boolean;
+  variant?: 'primary' | 'secondary';
+}
+
+export default function Button({
+  children,
+  onClick,
+  disabled = false,
+  loading = false,
+  variant = 'primary',
+}: ButtonProps) {
+  const baseClasses = 'px-6 py-3 rounded-lg font-medium transition-colors focus:outline-none focus:ring-2 focus:ring-offset-2 disabled:cursor-not-allowed';
+  
+  const variantClasses = {
+    primary: 'bg-blue-600 text-white hover:bg-blue-700 focus:ring-blue-500 disabled:bg-gray-300',
+    secondary: 'bg-gray-200 text-gray-900 hover:bg-gray-300 focus:ring-gray-500 disabled:bg-gray-100',
+  };
+
+  return (
+    <button
+      onClick={onClick}
+      disabled={disabled || loading}
+      className={`${baseClasses} ${variantClasses[variant]}`}
+    >
+      {loading ? (
+        <div className="flex items-center">
+          <div className="w-4 h-4 border-2 border-current border-t-transparent rounded-full animate-spin mr-2"></div>
+          Loading...
+        </div>
+      ) : (
+        children
+      )}
+    </button>
+  );
+}
\ No newline at end of file
diff --git a/human-seeded-evals/frontend/src/components/Card.tsx b/human-seeded-evals/frontend/src/components/Card.tsx
new file mode 100644
index 0000000..2d32d37
--- /dev/null
+++ b/human-seeded-evals/frontend/src/components/Card.tsx
@@ -0,0 +1,12 @@
+interface CardProps {
+  children: React.ReactNode;
+  className?: string;
+}
+
+export default function Card({ children, className = '' }: CardProps) {
+  return (
+    <div className={`bg-white rounded-lg border border-gray-200 p-6 ${className}`}>
+      {children}
+    </div>
+  );
+}
\ No newline at end of file
diff --git a/human-seeded-evals/frontend/src/components/Input.tsx b/human-seeded-evals/frontend/src/components/Input.tsx
new file mode 100644
index 0000000..d563170
--- /dev/null
+++ b/human-seeded-evals/frontend/src/components/Input.tsx
@@ -0,0 +1,68 @@
+interface InputProps {
+  label?: string;
+  placeholder?: string;
+  value: string;
+  onChange: (value: string) => void;
+  onSubmit?: () => void;
+  disabled?: boolean;
+  loading?: boolean;
+  showClear?: boolean;
+  onClear?: () => void;
+  autoFocus?: boolean;
+}
+
+export default function Input({
+  label,
+  placeholder,
+  value,
+  onChange,
+  onSubmit,
+  disabled = false,
+  loading = false,
+  showClear = false,
+  onClear,
+  autoFocus = false,
+}: InputProps) {
+  const handleKeyDown = (e: React.KeyboardEvent) => {
+    if (e.key === 'Enter' && onSubmit) {
+      onSubmit();
+    }
+  };
+
+  return (
+    <div className="w-full">
+      {label && (
+        <label className="block text-gray-700 text-lg font-medium mb-3">
+          {label}
+        </label>
+      )}
+      <div className="relative">
+        <input
+          type="text"
+          value={value}
+          onChange={(e) => onChange(e.target.value)}
+          onKeyDown={handleKeyDown}
+          placeholder={placeholder}
+          disabled={disabled || loading}
+          autoFocus={autoFocus}
+          className="w-full px-4 py-3 bg-white border border-gray-300 rounded-lg focus:outline-none focus:ring-2 focus:ring-blue-500 focus:border-transparent disabled:cursor-not-allowed"
+        />
+        {loading && (
+          <div className="absolute right-3 top-1/2 transform -translate-y-1/2">
+            <div className="w-5 h-5 border-2 border-gray-300 border-t-blue-500 rounded-full animate-spin"></div>
+          </div>
+        )}
+        {showClear && !loading && onClear && (
+          <button
+            onClick={onClear}
+            className="absolute right-3 top-1/2 transform -translate-y-1/2 text-gray-400 hover:text-gray-600 focus:outline-none cursor-pointer"
+          >
+            <svg className="w-5 h-5" fill="none" stroke="currentColor" viewBox="0 0 24 24">
+              <path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M6 18L18 6M6 6l12 12" />
+            </svg>
+          </button>
+        )}
+      </div>
+    </div>
+  );
+}
\ No newline at end of file
diff --git a/human-seeded-evals/frontend/src/components/TimeConverter.tsx b/human-seeded-evals/frontend/src/components/TimeConverter.tsx
new file mode 100644
index 0000000..0ce1862
--- /dev/null
+++ b/human-seeded-evals/frontend/src/components/TimeConverter.tsx
@@ -0,0 +1,88 @@
+import { useState } from 'react';
+import Input from './Input';
+import Card from './Card';
+import { convertTimeInterval } from '../api';
+import type { TimeInterval, ConversionError } from '../api';
+
+export default function TimeConverter() {
+  const [input, setInput] = useState('');
+  const [loading, setLoading] = useState(false);
+  const [result, setResult] = useState<TimeInterval | ConversionError | null>(null);
+
+  const handleSubmit = async () => {
+    if (!input.trim() || loading) return;
+
+    setLoading(true);
+    setResult(null);
+
+    try {
+      const response = await convertTimeInterval(input);
+      setResult(response);
+    } catch {
+      setResult({ error: 'An unexpected error occurred' });
+    } finally {
+      setLoading(false);
+    }
+  };
+
+  const handleClear = () => {
+    setInput('');
+    setResult(null);
+  };
+
+  return (
+    <div className="min-h-screen bg-stone-100 p-4">
+      <div className="w-full max-w-md mx-auto space-y-6" style={{ paddingTop: '150px' }}>
+        <Input
+          label="Describe time interval"
+          placeholder="e.g., last week, yesterday, this month..."
+          value={input}
+          onChange={setInput}
+          onSubmit={handleSubmit}
+          loading={loading}
+          showClear={!!result}
+          onClear={handleClear}
+          autoFocus
+        />
+
+        {result && (
+          <Card>
+            {'error' in result ? (
+              <div className="text-red-600">
+                <h3 className="font-medium mb-2">Error</h3>
+                <p className="text-sm">{result.error}</p>
+              </div>
+            ) : (
+              <div className="space-y-4">
+                <div className="grid grid-cols-1 gap-4">
+                  <div>
+                    <label className="block text-sm font-medium text-gray-700 mb-1">
+                      Start Time
+                    </label>
+                    <p className="text-sm text-gray-900 font-mono bg-gray-50 p-2 rounded">
+                      {result.startTimestamp}
+                    </p>
+                  </div>
+
+                  <div>
+                    <label className="block text-sm font-medium text-gray-700 mb-1">
+                      End Time
+                    </label>
+                    <p className="text-sm text-gray-900 font-mono bg-gray-50 p-2 rounded">
+                      {result.endTimestamp}
+                    </p>
+                  </div>
+
+                  <div>
+                    <h3 className="font-medium text-gray-900 mb-2">Explanation</h3>
+                    <p className="text-gray-700">{result.explanation}</p>
+                  </div>
+                </div>
+              </div>
+            )}
+          </Card>
+        )}
+      </div>
+    </div>
+  );
+}
diff --git a/human-seeded-evals/frontend/src/main.css b/human-seeded-evals/frontend/src/main.css
new file mode 100644
index 0000000..9ec3ac8
--- /dev/null
+++ b/human-seeded-evals/frontend/src/main.css
@@ -0,0 +1,6 @@
+@import url('https://fonts.googleapis.com/css2?family=IBM+Plex+Sans:wght@400;500;600&display=swap');
+@import "tailwindcss";
+
+body {
+  font-family: 'IBM Plex Sans', sans-serif;
+}
diff --git a/human-seeded-evals/frontend/src/main.tsx b/human-seeded-evals/frontend/src/main.tsx
new file mode 100644
index 0000000..a8d31b2
--- /dev/null
+++ b/human-seeded-evals/frontend/src/main.tsx
@@ -0,0 +1,10 @@
+import { StrictMode } from 'react'
+import { createRoot } from 'react-dom/client'
+import './main.css'
+import App from './App.tsx'
+
+createRoot(document.getElementById('root')!).render(
+  <StrictMode>
+    <App />
+  </StrictMode>,
+)
diff --git a/human-seeded-evals/frontend/src/vite-env.d.ts b/human-seeded-evals/frontend/src/vite-env.d.ts
new file mode 100644
index 0000000..11f02fe
--- /dev/null
+++ b/human-seeded-evals/frontend/src/vite-env.d.ts
@@ -0,0 +1 @@
+/// <reference types="vite/client" />
diff --git a/human-seeded-evals/frontend/tsconfig.json b/human-seeded-evals/frontend/tsconfig.json
new file mode 100644
index 0000000..0c0ebaa
--- /dev/null
+++ b/human-seeded-evals/frontend/tsconfig.json
@@ -0,0 +1,24 @@
+{
+  "compilerOptions": {
+    "target": "ES2022",
+    "useDefineForClassFields": true,
+    "lib": ["ES2022", "DOM", "DOM.Iterable"],
+    "module": "ESNext",
+    "skipLibCheck": true,
+
+    "moduleResolution": "bundler",
+    "allowImportingTsExtensions": true,
+    "verbatimModuleSyntax": true,
+    "moduleDetection": "force",
+    "noEmit": true,
+    "jsx": "react-jsx",
+
+    "strict": true,
+    "noUnusedLocals": true,
+    "noUnusedParameters": true,
+    "erasableSyntaxOnly": true,
+    "noFallthroughCasesInSwitch": true,
+    "noUncheckedSideEffectImports": true
+  },
+  "include": ["src"]
+}
diff --git a/human-seeded-evals/frontend/vite.config.js b/human-seeded-evals/frontend/vite.config.js
new file mode 100644
index 0000000..cd123f4
--- /dev/null
+++ b/human-seeded-evals/frontend/vite.config.js
@@ -0,0 +1,16 @@
+import { defineConfig } from "vite";
+import tailwindcss from "@tailwindcss/vite";
+import react from "@vitejs/plugin-react";
+
+// https://vite.dev/config/
+export default defineConfig({
+  plugins: [tailwindcss(), react()],
+  server: {
+    proxy: {
+      "/api": {
+        target: "http://127.0.0.1:5000",
+        changeOrigin: true,
+      },
+    },
+  },
+});
diff --git a/human-seeded-evals/pyproject.toml b/human-seeded-evals/pyproject.toml
new file mode 100644
index 0000000..e5a3c83
--- /dev/null
+++ b/human-seeded-evals/pyproject.toml
@@ -0,0 +1,21 @@
+[project]
+name = "human-seeded-evals"
+version = "0.1.0"
+readme = "README.md"
+
+[tool.ruff]
+line-length = 120
+target-version = "py312"
+
+[tool.ruff.lint]
+extend-select = ["Q", "RUF100", "C90", "UP", "I"]
+flake8-quotes = { inline-quotes = "single", multiline-quotes = "double" }
+isort = { combine-as-imports = true }
+mccabe = { max-complexity = 15 }
+pydocstyle = { convention = "google" }
+
+[tool.ruff.format]
+quote-style = "single"
+
+[dependency-groups]
+dev = ["pyright>=1.1.402", "ruff>=0.12.1", "watchfiles>=1.1.0"]
diff --git a/pyproject.toml b/pyproject.toml
index e033c11..cb825ad 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -6,10 +6,18 @@ readme = "README.md"
 requires-python = ">=3.12"
 dependencies = [
     "devtools>=0.12.2",
-    "logfire[httpx]>=3.21.1",
+    "fastapi>=0.115.14",
+    "httpx>=0.28.1",
+    "logfire[fastapi,httpx]>=3.21.1",
+    "pydantic>=2.11.7",
     "pydantic-ai>=0.3.4",
+    "pydantic-evals>=0.3.4",
+    "uvicorn>=0.34.3",
 ]
 
+[tool.uv.workspace]
+members = ["human-seeded-evals"]
+
 [tool.ruff]
 line-length = 120
 target-version = "py39"
diff --git a/uv.lock b/uv.lock
index e4c9abe..f057940 100644
--- a/uv.lock
+++ b/uv.lock
@@ -2,6 +2,12 @@ version = 1
 revision = 2
 requires-python = ">=3.12"
 
+[manifest]
+members = [
+    "human-seeded-evals",
+    "pydantic-demo",
+]
+
 [[package]]
 name = "annotated-types"
 version = "0.7.0"
@@ -52,6 +58,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/31/da/e42d7a9d8dd33fa775f467e4028a47936da2f01e4b0e561f9ba0d74cb0ca/argcomplete-3.6.2-py3-none-any.whl", hash = "sha256:65b3133a29ad53fb42c48cf5114752c7ab66c1c38544fdf6460f450c09b42591", size = 43708, upload-time = "2025-04-03T04:57:01.591Z" },
 ]
 
+[[package]]
+name = "asgiref"
+version = "3.8.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/29/38/b3395cc9ad1b56d2ddac9970bc8f4141312dbaec28bc7c218b0dfafd0f42/asgiref-3.8.1.tar.gz", hash = "sha256:c343bd80a0bec947a9860adb4c432ffa7db769836c64238fc34bdc3fec84d590", size = 35186, upload-time = "2024-03-22T14:39:36.863Z" }
+wheels = [
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