Examples and Practice: Task Evals¶
Worked Practice¶
- Write one paragraph explaining Task Evals to a beginner.
- Draw the smallest diagram that shows input, transformation, output, and failure mode.
- Build or outline a tiny artifact connected to: Add evals and tracing to the agent.
- Measure it with: Track success, trace completeness, tool errors, cost, and latency.
- Add one failure case to your learning log.
Mini Project Drill¶
Create a file named notes/task-evals.md in your project workspace. Include:
- the problem Task Evals solves
- the simplest implementation or design
- the measurement you used
- one example input
- one expected output
- one failure case
- one decision you would make from the result
Check Your Understanding¶
| Question | What a strong answer includes |
|---|---|
| Why does Task Evals matter? | It connects to a tool-using agent with typed tools, memory, traces, task evals, prompt-injection tests, and an architecture readme. and names a practical risk. |
| How would you test it? | It uses a small repeatable case and a measurable expected result. |
| What breaks first? | It names a specific failure mode, not only "the model is bad". |
| When should you move on? | When the artifact works on a realistic case and one edge case. |
Stretch Exercise¶
Revisit the same drill after finishing the next part. Update the note with what changed. This is how isolated concepts become connected system judgment.
Return to 6.7.1 Task Evals.