## Project metadata
- Project ID and status:
- Dates and tested version/commit:
- My contribution:
- Collaboration and AI assistance:

## Problem and intended user
What concrete problem does this solve?

## Scope and success criteria
Include exclusions and prerequisites.

## Design and decisions
Architecture, data flow, alternatives, trade-offs, and dependencies.

## Implementation
Explain the important behavior with source references.

## Reproduce the work
Environment, pinned versions, commands, synthetic inputs, expected output, and cleanup.

## Verification and results
Test cases, expected versus actual output, conditions, and failures. Do not invent measurements.

## Operational perspective
Reliability, security, maintenance, cost when measured, and why it matters.

## Limitations and next step
What remains incomplete? What would the next experiment establish?

## References and artifacts
Repository, demo if available, evidence, sources, and correction history.