Describe the AI system you are building. Get the most semantically similar documented failures — with root causes, severity scores, mitigations, and transferable lessons. Export as JSON or structured .txt report.
# HOW IT WORKS
01 embed
Your query → text-embedding-3-small (512-dim) → query vector
02 search
Cosine similarity against 13K+ indexed failure embeddings in Supabase pgvector
03 export
Download matched cases as JSON (code integration) or .txt report (docs/PRDs)
# Pricing Search #1: free · Search #2: $1 · Search #3: $3 · After that: PRO ($49/mo)
query│describe your AI system, domain, model type, and use case