Add specifications for gamification, generation, and R42 chat services
- Introduced gamification service spec detailing responsibilities, API surface, XP calculation, levels, streaks, badges, milestone cards, and heatmap data. - Added generation service spec outlining the process for generating micro learning content, including API endpoints, AI call configuration, prompt strategies, and error handling. - Created R42 chat service spec covering chatbot interactions, retrieval pipeline, prompt construction, response generation, and stateless design principles.
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docs/curriculum-spec.md
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# Curriculum service spec
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## Responsibility
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Generates a versioned 26-week learning schedule from the published knowledge
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base. Manages perpetual cycling, version transitions, and employee curriculum
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state. Handles regeneration when the KB changes.
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---
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## Service location
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```
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app/services/curriculum/
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├── src/
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│ ├── index.ts entry point, Fastify server
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│ ├── routes/
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│ │ ├── curriculum.ts POST /generate, GET /current, GET /preview
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│ │ └── employee.ts GET /state/:userId, POST /advance/:userId
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│ ├── generator/
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│ │ ├── build.ts KB graph → 26-week schedule (AI call)
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│ │ ├── sequence.ts prerequisite + complexity ordering
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│ │ └── cycle.ts cycle 2+ variation logic
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│ ├── versioning/
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│ │ ├── apply.ts apply new version to active employees
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│ │ └── freeze.ts protect completed weeks
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│ └── lib/
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│ ├── pocketbase.ts
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│ └── anthropic.ts
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├── package.json
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├── tsconfig.json
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└── .env.example
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```
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---
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## API surface
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### POST /generate
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Triggers curriculum generation from current published KB.
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Called by admin app after confirming regeneration.
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Request:
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```json
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{
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"triggeredBy": "string",
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"reason": "new_topics" | "manual"
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}
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```
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Response (202 Accepted):
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```json
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{
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"jobId": "string",
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"status": "queued"
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}
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```
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---
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### GET /preview
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Returns proposed new curriculum before admin confirms.
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Called by admin app to show preview before regeneration is applied.
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Response:
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```json
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{
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"version": 3,
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"weeks": [
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{
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"weekNumber": 1,
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"theme": { "id": "string", "title": "string" },
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"topics": [
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{ "id": "string", "title": "string", "complexityWeight": 2 }
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],
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"estimatedDurationMinutes": 25
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}
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],
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"coverageStats": {
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"themesTotal": 8,
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"themesCovered": 8,
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"topicsTotal": 42,
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"topicsCovered": 42
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}
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}
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```
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---
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### GET /current
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Returns the currently active curriculum version with all week slots.
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---
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### GET /state/:userId
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Returns an employee's current curriculum state.
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Response:
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```json
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{
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"userId": "string",
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"currentCycle": 1,
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"currentWeek": 7,
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"startDate": "2026-01-15T00:00:00Z",
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"activeVersionId": "string",
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"nextSessionTheme": { "id": "string", "title": "string" },
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"nextSessionTopics": []
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}
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```
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---
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### POST /advance/:userId
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Called by progress service when an employee completes a week.
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Increments currentWeek, handles cycle transition at week 26.
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Request:
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```json
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{
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"completedWeek": 7
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}
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```
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---
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## Curriculum generation
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### Input
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All published Themes and Topics retrieved from PocketBase:
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```typescript
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type KBSnapshot = {
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themes: {
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id: string
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title: string
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description: string
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topics: {
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id: string
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title: string
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complexityWeight: number // 1–5
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difficulty: string
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prerequisiteTopics: string[] // topic IDs
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relatedTopics: string[]
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contrastTopics: string[]
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}[]
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}[]
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}
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```
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---
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### Pre-processing: sequence topics within themes
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Before the AI call, the service resolves topic ordering within each Theme
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using a topological sort on prerequisite relationships.
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```
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For each Theme:
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Build directed graph: prerequisite_topics edges
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Topological sort → ordered topic list
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If cycle detected (should not occur but handle): log warning, fall back to
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complexity_weight ascending order
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```
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This pre-processing means the AI does not need to reason about prerequisites —
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it receives already-ordered topic lists and focuses on Theme sequencing.
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---
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### AI call: Theme sequencing across 26 weeks
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System prompt:
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```
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You are a curriculum designer. Your task is to distribute a set of learning
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Themes across 26 weekly sessions to create an effective learning journey.
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Output ONLY valid JSON matching the schema provided. No preamble, no
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explanation, no markdown fences.
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Rules:
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- Every Theme must appear at least once across 26 weeks
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- Themes with more Topics (higher topic count) may span multiple weeks or
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appear in multiple cycles within the 26 weeks
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- Sequence Themes so foundational concepts precede dependent ones
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- Distribute complexity progressively: introductory Themes early, advanced
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Themes in the second half
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- If total Topics across all Themes exceeds what 26 weeks can cover in depth,
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prioritise breadth in cycle 1 — every Theme covered, key Topics per Theme
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- Assign an estimated duration in minutes per week (15–45 minutes per session)
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- Return exactly 26 week slots
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```
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User prompt:
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```
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Knowledge base snapshot:
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{KBSnapshot as JSON}
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Generate a 26-week curriculum schedule.
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```
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Output schema:
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```typescript
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type CurriculumDraft = {
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weeks: {
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weekNumber: number // 1–26
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themeId: string
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topicIds: string[] // ordered subset of theme's topics
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estimatedDurationMinutes: number
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rationale: string // one sentence — shown to admin in preview
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}[]
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}
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```
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AI call configuration:
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```typescript
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{
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model: 'claude-sonnet-4-20250514',
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max_tokens: 4000,
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temperature: 0
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}
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```
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Validation: Zod schema on output. Check all themeIds and topicIds exist in
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the KB snapshot before writing. Reject and retry once on validation failure.
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---
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### Write to PocketBase
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```
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Create curriculum_versions record {
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version: latest + 1,
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status: 'draft',
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generated_at: now,
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generation_notes: reason
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}
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For each week in CurriculumDraft:
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Create curriculum_weeks record {
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curriculum_version: versionId,
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week_number: weekNumber,
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theme: themeId,
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topics: topicIds,
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topic_order: [0, 1, 2, ...],
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estimated_duration_minutes: value,
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admin_notes: ''
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}
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Set curriculum_versions.status → 'draft'
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Notify admin: preview available at GET /preview
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```
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Draft version is not applied until admin confirms via POST /generate confirm.
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---
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## Versioning and regeneration
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### Applying a new version
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When admin confirms, `apply.ts` runs:
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```
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Get all employees from employee_curriculum_state
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For each employee:
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frozenWeek = employee.current_week
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Update employee_curriculum_state:
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active_version = new version ID
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Note: completed weeks are protected by current_week value
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The frontend only renders weeks >= current_week from active_version
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Weeks < current_week are rendered from session_completions history
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(immutable records — not from curriculum_weeks)
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Set old curriculum_versions.status → 'superseded'
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Set new curriculum_versions.status → 'active'
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```
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Completed weeks are never stored against a curriculum version — they live
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in session_completions. The version only determines future week content.
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---
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## Perpetual cycling
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### Week 26 completion → cycle transition
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When progress service calls POST /advance/:userId with completedWeek: 26:
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```
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employee.currentCycle += 1
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employee.currentWeek = 1
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employee.startDate = now
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employee.activeVersion = current active version
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Generate cycle variant (see below)
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```
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### Cycle variant generation
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Cycle 2+ is not identical to cycle 1. The AI call receives additional context:
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Additional fields in user prompt for cycle 2+:
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```json
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{
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"cycleNumber": 2,
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"employeeHistory": {
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"typesUsed": ["concept_explainer", "scenario_quiz", "how_to"],
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"typesNotUsed": ["case_study", "myth_vs_evidence", "comparison_card"],
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"lowEngagementTopics": ["topic-id-1", "topic-id-2"]
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}
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}
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```
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Additional rules added to system prompt for cycle 2+:
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```
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- Vary the Theme sequence from the previous cycle
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- Topics identified as low engagement should appear earlier in this cycle
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- The rationale field should note what is different from cycle 1
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```
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Low engagement is determined by: topics where the employee completed only
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one micro learning type (minimum engagement). Retrieved from session_completions
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by progress service and passed to curriculum service on cycle transition.
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---
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## Admin curriculum editor
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The curriculum editor in the admin app (built in frontend phase) calls:
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- GET /preview to display the proposed schedule
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- PATCH /weeks/:weekId to update theme or topic assignment
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- POST /confirm to apply the version
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The PATCH route allows admin to:
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- Reassign a Theme to a different week (swap two weeks)
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- Add or remove Topics from a week's topic list
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- Edit admin_notes per week
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Changes made via PATCH update the draft curriculum_weeks records before
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the version is confirmed and applied.
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---
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## Environment variables
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```
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ANTHROPIC_API_KEY=
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POCKETBASE_URL=
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POCKETBASE_ADMIN_EMAIL=
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POCKETBASE_ADMIN_PASSWORD=
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CURRICULUM_PORT=3003
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```
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---
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## Dependencies
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```json
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{
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"dependencies": {
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"fastify": "^4",
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"@anthropic-ai/sdk": "^0.24",
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"pocketbase": "^0.21",
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"zod": "^3",
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"uuid": "^9"
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}
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}
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```
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---
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## TypeScript strict mode requirements
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- No `any` types
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- KBSnapshot typed explicitly — validated against PocketBase response
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- CurriculumDraft validated through Zod before any PocketBase writes
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- Topological sort implemented with explicit typed graph structure
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---
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## What this service does NOT do
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- Does not generate micro learnings → generation service
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- Does not record completions → progress service
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- Does not serve KB content → frontend reads PocketBase directly
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- Does not handle auth → PocketBase + frontend
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---
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## Testing checkpoints
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1. Generate curriculum from a KB with 5+ themes → confirm 26 weeks produced
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2. Confirm all themes appear at least once
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3. Confirm topic order within a week respects prerequisites
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4. Add a new theme to KB → trigger regeneration → confirm employee at week 5
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sees weeks 1–5 unchanged, weeks 6–26 updated
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5. Advance employee through week 26 → confirm cycle 2 starts with varied sequence
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6. Admin edits week 3 theme → confirm patch updates draft before confirmation
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