Faide
Early-stage AI-assisted product built end to end, with deliberate guardrails
what it proves
Proves end-to-end product thinking on an early-stage build: auth, data modelling, a deployment path, and AI features scoped with deliberate guardrails rather than bolted on.
An early-stage product built end to end, including auth, data modelling and a deployment path. It is currently private and pre-release. The AI-assisted features are scoped conservatively: clear boundaries on what the model decides and what the user confirms. Demonstrates product judgement alongside delivery, not just plumbing.
proof points
- Working prototype spanning auth, persistence and data modelling, with breadth over polish at this stage
- CI pipeline in place from early in the build
- Documented AI guardrails: what the model decides vs what the user confirms
- PostgreSQL data model designed for the product, not generated
skills demonstrated
tech stack
engineering hygiene
- ✓ readme
- ✓ docs
- ✗ tests
- ✓ ci
- ✗ docker
Known gaps: tests, docker. Next step: add a test suite covering the core user flows.
the code
The repo is currently private. The evidence on this page comes from the case study; happy to walk through the code in a conversation.