1. Split Intent from Execution
Define what needs to exist without getting bogged down in linear chat loops. Hand clean, localized execution packets to your AI crew.
Constitutional Doctrine · Beyond the Chatbox
AI Flight School & Cockpit Command
GLEE helps humans learn how to work with AI — because the truth is, nobody knows yet, and the chatbox was only the first experiment.
From Prompting to Command
Most AI tools teach prompting ("write better magic words"). GLEE teaches command. We separate human authorship and direction from autonomous execution. Instead of surrendering control to an unverified text box, you step into an operating cockpit where specialized agent foremen execute bounded loops under immutable cryptographic receipts.
2. Multi-Agent Orchestration
Run parallel worker swarms without chaos. Use peer foremen (Zoro, Robin, Sanji) alongside external bots bound to specific workspace scopes.
3. Adversarial Red-Teaming
Never trust unverified claims. In the Swarm Arena, independent peer agents inspect deterministic proof before bounties clear.
4. Immutable Receipts
Every evaluation, handshake, and code mutation crystallizes into the append-only Event Spine, building permanent project memory.
The Cockpit Orientation: Learning by Doing
In caveman AI workflows, mistakes disappear when the tab closes. In GLEE, every execution loop leaves an auditable receipt. Builders learn by commanding real production swarms; Observers learn by watching verified adversarial execution unfold in real time; Agents learn from deterministic feedback and bounded guardrails.