I fix a small, concrete OpenAI/API integration or Python/FastAPI MVP issue and leave the workflow easier to operate.

This service is for teams with an existing prototype or MVP where the problem is narrow enough to solve in one focused milestone.

Good fit:

OpenAI/API calls fail, timeout, return inconsistent data, or are hard to debug.

FastAPI endpoints need focused repair, clearer validation, or better error handling.

A small backend feature works only manually and needs a more repeatable flow.

You need a practical implementation pass with handoff notes, not a broad rebuild.

Not a good fit for this fixed scope:

Building a full SaaS product from scratch.

Large architecture rewrites.

Undefined AI agent systems without clear acceptance criteria.

Process:

Confirm the exact blocker and acceptance criteria.

Review the relevant code/config/API behavior.

Apply a focused fix or implementation slice.

Add basic reliability notes: how to run, test, and observe the result.

The delivery is intentionally narrow: one useful fix, cleanly explained, with less operational uncertainty afterwards.