Applied AI Labs

Applied AI Labs is building a simple, governed idea warehouse for student AI fluency research.

Cycle 1 product:

• students answer one fixed focus question in Notion
• each submission is stored in Supabase
• each submission gets an embedding for analysis

This repository is organized to keep the active system easy to understand:

• docs/warehouse/ -> canonical plan and implementation contract
• governance/ -> immutable safety and policy corpus
• runtime/ -> Notion webhook + runtime services
• supabase/ -> schema and migrations

Start here:

• /docs/README.md
• /docs/warehouse/00_CYCLE_01_SYSTEM_RATIONALE.md

Focus Question (Cycle 1)

How do we build sustained AI fluency inside a student population when the technology and norms are constantly shifting?

Non-Negotiable Constraints

• No hidden cross-thread reads
• No auto-publish
• Readiness requires 2-of-3 checks plus explicit confirmation
• Protected actions are server-enforced
• Notion is UX; Supabase is enforcement and system-of-record