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Student Management

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Dev Center V2

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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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💡 Run context scans to understand the codebase at a glance. Each scan analyses a different aspect: system architecture, database tables, API endpoints, templates, and models.
Quick Context Scans

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💡 Track development tasks through their lifecycle: Planned, In Progress, Implemented, Needs Testing, Tested, Verified, Released. Jobs require test evidence before verification.
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💡 Daily work log. Session activity is automatically logged here. Use "Enhance with AI" on entries to expand brief notes into detailed summaries.
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💡 View work history by date. Click "Close Out Today" to generate an AI-powered daily digest summarising what was accomplished.
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💡 User feedback and AI-generated suggestions scored by priority. Convert high-priority items into tracked Jobs for the development pipeline.
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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.
Graduation Course Builder FEATURE
AI configuration 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.
Agent Skills Registry
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💡 Project health dashboard: codebase metrics, pipeline success rates, AI spend tracking, and security status. Click Refresh All to update.
Project Statistics
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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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💡 SEO Master Plan tracker. Shows progress across all marketing and SEO initiatives, content coverage, and next priorities.
SEO Master Plan
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💡 Project Intelligence Pack: browse key documents or download the complete bundle as a ZIP for advisors, investors, or AI consultation.
Intelligence Pack
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Pack
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💡 AI Operating Layer: generates 10 machine-readable JSON indexes of the codebase for AI agent consumption. Regenerate to refresh, download the ZIP bundle for offline use.
AI Operating Layer
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Indexes
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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.
Shell Commands
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Push to GitHub
Staged push — auto-batches large pushes
💡 AI Operating Layer — machine-readable indexes, agent skills, and project guidance that help AI tools navigate, understand, and change this codebase effectively.
AI Operating Layer
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Workflow Compliance
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Observed vs Inferred
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Autopilot Control Plane
Eval Scoreboard
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Page Health
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Verification Audit
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UI Verification
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Pages
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Before/After Verification
Manual trigger only. Enter changed files (comma-separated) or leave empty for all pages.
💡 UI Quality Layer — browser-based page audits, screenshot capture, visual diffs, pattern conformance, and interaction smoke tests across all contracted pages.
UI Quality Verification
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Page Verdicts Python quick audit
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Known UI Debt
Browser Audit & Screenshots Python quick audit
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Playwright
Search document Screaming Frog SEO Audit — import crawl data, view severity-prioritised issues, broken links, content quality, security verification, template clusters, and delta comparisons.
Screaming Frog Audit
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ZIP, CSV, XLSX, or .dbseospider files
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Pipeline Throughput
💡 Growth Command Centre: track conferences, brainstorm marketing content, monitor the sales funnel, analyse competitors, and visualise the growth roadmap.
VET Industry Conferences & Events
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Marketing Ideas Board
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Growth Roadmap
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💡 App Valuation panel: estimates RTOFlow's total value in AUD using four methods — cost-to-recreate, revenue-based, asset inventory, and a composite blend. All figures are indicative only.
App Valuation
Financial dashboard
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