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💡 Upload and manage instruction files for AI-assisted development. Drop files in the Inbox, then reference filenames in chat to trigger builds.
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💡 Reference guide for the Course Builder feature. Create custom training materials outside standard TGA units, with AI-powered conversational course design.
🎓 Course Builder FEATURE
🧠 Feature Overview
AI-powered course design and content generation pipeline for custom training materials outside TGA units. Organisations can design course outlines via AI conversation or manual entry, then generate full learner guides through the existing Stage C pipeline.
🔌 API Reference
Method Path Description
GET /api/course-builder/outlines List all outlines for org
POST /api/course-builder/outlines Create new outline
GET /api/course-builder/outlines/{id} Get outline with sections
PUT /api/course-builder/outlines/{id} Update outline metadata
DELETE /api/course-builder/outlines/{id} Delete draft outline
POST /api/course-builder/outlines/{id}/sections Add section
PUT /api/course-builder/sections/{id} Update section
DELETE /api/course-builder/sections/{id} Soft-delete section
POST /api/course-builder/outlines/{id}/reorder Reorder sections
POST /api/course-builder/outlines/{id}/generate Start generation pipeline
POST /api/course-builder/conversations Start AI design conversation
GET /api/course-builder/conversations List conversations
GET /api/course-builder/conversations/{id}/messages Get messages
POST /api/course-builder/conversations/{id}/messages Send message (triggers AI response)
POST /api/course-builder/conversations/{id}/approve Create outline from AI conversation
DELETE /api/course-builder/conversations/{id} Delete conversation
POST /api/course-builder/outlines/{id}/tga-framework Generate TGA framework for outline
GET /api/course-builder/outlines/{id}/tga-framework Get TGA framework data
GET /api/course-builder/outlines/{id}/tga-framework/export Export TGA framework as DOCX
POST /api/course-builder/outlines/{id}/tga-proposal Generate TGA proposal from framework
PATCH /api/course-builder/outlines/{id}/branding Update branding settings
POST /api/course-builder/outlines/{id}/tga-research Trigger TGA-specific research
GET /api/course-builder/outlines/{id}/tga-research Get TGA research results
PATCH /api/course-builder/outlines/{id}/tga-research Update TGA research decisions
⚙️ Pipeline Configuration
Feature Flag
course_builder — must be enabled per organisation via feature flags
Generation Pipeline
Course Builder runs skip Stage A/B. The blueprint is pre-built by the adapter, then goes straight to Stage C content generation.
AI Routing Stages
course_design — conversation AI for outline design
course_design_research — TGA-specific research framework for industry/regulatory context
Cost Tracking
All AI calls use cost_category="setup" and track via the unified AiUsageEvent system.
Adapter
app/services/course_builder_adapter.py converts CourseOutline → UnitBlueprint format for Stage C compatibility.
🗃️ Data Model
Table Description
course_outlines Main outline with metadata, status (draft → ready → generating → completed), AQF level, audience context, quality mode, tga_proposal_enabled, and rpl_pack_enabled flags
course_outline_sections Sections with learning outcomes, key topics, content type (theory/practical/assessment), complexity hint, and word targets
course_design_conversations AI design chat sessions linked to org/user, with context snapshot and status tracking
course_design_messages Individual messages (user/assistant/system) with interactive elements, user selections, and token usage tracking
💡 Agent skill registry. Skills are reusable instructions that extend what the AI agent can do. Auto-scans from the .agents/skills/ directory.
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RTOFlow Development Roadmap
AI-powered training and compliance platform for Australian RTOs. Tracking progress from concept through to production scale.
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💡 Quick-access shell commands for common operations. Click the copy button to copy a command, then paste it into the Replit Shell tab.
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Push to GitHub
Staged push — auto-batches large pushes