12 docs tagged with "Loops"

Autonomous AI agents and named profiles — attention with goals, memory, tools, and feedback loops.

How to design loops that prompt agents: trigger, context, tools, verifier, stop condition, budget, escalation, and proof.

Reusable concept note for DePIN A&I Loop.

Subject navigation for Feedback Loops.

The core principle — optimize feedback loops to optimize flow — and the five-step continuous improvement loop that applies it to any system.

Reusable concept note for Game Loops.

Enter the mind's eye, picture position and condition, choose one real quest, and return with proof.

One loop is a discipline; ten loops are a system. The registry pattern keeps every feedback loop honest with a setpoint, gauge, cadence, owner, and kill signal — read on one status surface.

Agent loop engineering: plain feedback loops, prompt loops, and mechanical control loops that make AI work improve instead of drift.

Reusable concept note for Market Forces.

How to turn work into setpoint, gauge, lever, state, proof, correction, and a sharper next question.

Subject navigation for Planning Flow.