AI Flywheel
A series about turning AI-assisted development from isolated prompts into a repeatable engineering system with specifications, frameworks, durable evidence, and operating discipline.
From Specification to System: How the AI Flywheel Became Four Projects
How the AI Flywheel evolved from a specification into a framework, independent testing system, and deterministic CLI.
AI Flywheel Spec – From Agent Loop to Compounding System
The AI Flywheel specification defines an evidence-driven operating model where execution improves the system used by future execution.
AI Flywheel Framework – Turning the Spec into an Operating Model
The AI Flywheel Framework turns the specification into an installable .flywheel operating model with explicit startup, state, governance, and lifecycle artifacts.
Testing the AI Flywheel Framework with Durable Evidence
The AI Flywheel testing project separates framework implementation from repeatable prompts, fixtures, runners, and durable evidence.
AI Flywheel CLI for Python – Operating the Flywheel Safely
The Python AI Flywheel CLI provides local commands for inspection, validation, lifecycle operations, installation, and upgrade with explicit safety boundaries.