The Flywheel

The flywheel is Ody's core thesis: every product feeds the next, creating a self-improving cycle of knowledge quality and AI accuracy.

How It Works

User runs Refine → finds contradictions → resolves them → training data created
    ↓
Forge takes training data → trains custom model → evals → deploys
    ↓
Colleague uses custom model → answers questions → user corrects mistakes
    ↓
Corrections become new training data → back to Forge → model improves
    ↓
Repeat forever. Every correction is an investment.

Step by Step

Step	Command	What happens
1	ody-refine ./docs/	Health report + findings
2	ody-refine resolve	User triages findings, creating preference pairs
3	ody-refine export --format trl	JSONL training data
4	forge train from-refine --method auto	SFT then DPO on a base model
5	forge eval	Before/after comparison, prevents regression
6	forge deploy	Push model to registry
7	Colleague serves the model	AI assistant answers with domain knowledge
8	User corrects wrong answers	New preference pairs generated
9	Automatic retrain trigger	Model improves from corrections

Why It Matters

Each correction makes the model more aligned to how your team actually thinks. The longer you use Ody, the better it gets.

The 30-Second Pitch

"When you run Refine, it finds every place your company's knowledge is broken. When you fix those -- marking which version is correct -- that decision becomes training data. Forge trains a model on those decisions. You own that model. Every correction makes it more aligned to how your team actually thinks."