# AI engineering portfolio: make the work inspectable

Describe the task, your contribution, the system boundary and what the evidence supports. Include a runnable example or artifact, one failure and the check used to detect it. Make production status and unresolved limitations explicit.

## Worked example

This library’s invoice example is a teaching fixture with local checks. It can demonstrate validation logic. It cannot establish model accuracy, production scale, client savings or employment experience. A credible case study preserves that distinction.

## Copyable prompt

```text
Turn [PROJECT NOTES] into a technical case study. Sections: problem, my verified contribution, architecture, setup, input/output example, failure case, checks run, results, limitations and next steps. Cite actual artifacts. Mark unverified claims for removal or follow-up. Do not invent customers, deployment status, savings or responsibilities.
```

## Checklist

- State your own contribution accurately.
- Link to a runnable example or inspectable artifact.
- Show one failure and how it is detected.
- Separate prototype status from production evidence.

## Further reading

[Anthropic: harnesses and verification](https://www.anthropic.com/engineering/effective-harnesses-for-long-running-agents)