# Phase 6 Plan: Teaching Assets

**Status:** Ready for execution
**Phase Goal:** Create source-backed teaching asset prompt candidates.

## Requirements Covered

- ASSET-01: System can generate prompt candidates for visual teaching assets.
- ASSET-02: Generated assets store source concept, evidence, prompt, model
  config, and review state.
- ASSET-03: Image model configuration verifies the actual OpenAI model
  identifier before production calls.

## Tasks

### 1. Add teaching asset package

- Define asset prompt candidate, asset type, review state, and snapshot types.
- Add in-memory store and service.

### 2. Generate prompts from ontology evidence

- Select source-backed ontology concept by concept id.
- Generate prompt candidate for diagram, lesson slice, worksheet, or interview
  card.
- Reject prompt generation when concept evidence is missing.

### 3. Add HTTP endpoints

- `POST /api/v1/teaching-assets/prompts`
- `GET /api/v1/teaching-assets`

### 4. Add tests and verification

- Test prompt candidates keep concept and source evidence.
- Test model verification guard remains true.
- Test HTTP material-ingest-to-asset-prompt flow.
- Run Go tests, OpenSpec validation, line-count check, and smoke.

## Out of Scope

- Real image generation.
- Slide deck creation.
- Asset publishing.