Scene 01/06
LiveFeatured product
Aegis AI
Next.js 15 (App Router) · React 19 · TypeScript · Tail wind CSS · Prisma
Problem
LLM-powered products ship changes to prompts and models with no systematic record of what changed, when, or why. Regressions surface in production. Bias goes undetected until a user reports it.
Approach
Plugged into GitHub Actions as a CI gate. Every prompt change triggers automated testing, drift detection, and a compliance certificate before merge. The pipeline rejects non-compliant changes before they reach production.
Outcome
A working CI/CD certification layer for AI systems — the compliance check that runs before every deployment, not after an incident.
