How AI works with IOModel: grounding, generation, and the validation loop.
The basics cover how AI integrates with IOModel and how to prompt it for reliable results. The core idea is grounding: AI is given the schema and the model so it produces valid, checkable output.
In this group
AI Architect Overview
The grounding model and the generate-validate-review loop.
Prompting Best Practices
Prompt patterns that produce valid model and specs.
Why grounding matters
| Ungrounded AI | Grounded AI (IOModel) |
|---|---|
| Invents a format | Uses the IOModel schema |
| Output needs cleanup | Output is valid model/MDX |
| No verification | Validated against rules |
| Hard to trust | Reviewable as a diff |
Treat AI as a fast first draft of structured architecture. The schema and validation keep that draft honest.
Last updated on