I Built a Knowledge Evaluator That Uses Notion to Judge What's Worth Remembering

Foundation kept everything. After 300 conversations, search returned noise. That was the problem I was actually trying to solve. I've been building Foundation — a federated knowledge system on Cloudflare Workers and the hardest part isn't capturing insights from conversations. It's deciding which ones deserve to persist. Throw everything into Vectorize and you end up with noise. The Notion MCP Challenge gave me a reason to isolate the evaluator and ship it as a standalone thing. The Idea Most challenge submissions pipe data into Notion. This one uses Notion as the judgment surface — the place where ambiguous knowledge items wait for a human to decide if they're worth keeping. The architecture: Conversation excerpt ↓ Workers AI (Llama 3.3 70B) scores 3 signals ↓ Score ≥ 0.67 → Knowledge Memory (auto-promoted) Score 0.33–0.67 → Notion Review Queue (human judges) Score < 0.33 → Discarded Notion isn't just receiving output. The Worker queries it back for pending items and uses it as the ap