Single Units Mode:
1. Select a stream to load industry context.
2. Add units via TGA fetch or from available units below.
3. Each unit auto-assigns to the correct AQF level based on its qualifications — you can override if needed.
4. Click Start Generation to begin.
To edit context, visit the Streams page.
Stream Batch Mode:
1. Select a stream below — all its units will be loaded automatically.
2. Units with "Ready" status are pre-selected. Deselect any you want to skip.
3. AQF levels are auto-assigned from each unit's qualification data.
4. Click Generate Batch to start all selected units at once.
Sets the default certificate level for new units. Units with known eligibility will auto-assign to their correct level.
ℹ️The stream provides industry context (sector, processes, equipment, WHS risks) that shapes how AI generates your training materials. Each unit inherits this context so content is tailored to your industry.
Visual-Rich: Heavy imagery. Ideal for practical skills, step-by-step procedures, and visual learners.
Image Intensity Guide
1-3: Text-Focused
Minimal images. Best for theory-heavy units or experienced learners.
4-6: Balanced
Good mix of text and visuals. Suitable for most units.
7-10: Visual-Rich
Heavy imagery. Ideal for practical skills and visual learners.
Standard: DeepSeek Reasoner as primary workhorse, GPT-4.1 for anchor docs and compliance. Best value for production. Est. $0.60-0.90/unit.
Automatically approves each generation stage (Draft, QA, Release) once checks pass. Turn off to review and approve each stage manually before it proceeds.
Enable autonomous AI recovery for this run. The Guardian will monitor for stalls and failures, automatically retrying stages or switching providers when issues occur.
⚡Batch mode generates content for multiple units at once using the stream's context. Only units with "Ready" status can be generated — units marked "Not Uploaded" need their TGA data fetched first.
READY Unit data loaded, ready to generateNEEDS EXTRACTION Needs TGA data fetched firstCOMPLETED Already generatedPENDING Generation in progress
Automatically approves each generation stage (Draft, QA, Release) once checks pass. Turn off to review and approve each stage manually before it proceeds.
Choose how your selected units will be generated. This affects how content, activities, and assessments are structured.
📄
Standard
Unit-by-Unit
Generate isolated learning resources and assessments for each unit independently. Best for flexible delivery where units are taught separately.
✓ Default
Clustered
Integrated Delivery
AI recommends which units to cluster together based on overlapping competency requirements. Generates shared learning activities and assessments that cover multiple units efficiently.
AI-Recommended Groupings
Project-Based
PBL Integration
Design an authentic industry project that integrates all selected units. Assessment is milestone-based with evidence hooks mapped across all unit requirements.
Requires PBL-enabled stream
AI Cluster Analysis
Project Pattern Selection
PBL not available: Project-Based Learning must be enabled for this stream by an administrator from the Stream Detail page.
Units to Plan
💬Plan with AI
I'll help you plan the direction for your content generation. Tell me about the specific industry focus, equipment, assessment preferences, and learner cohort — and I'll make sure everything stays aligned with the unit requirements.
⚠️
ACTION REQUIRED: UNIT DATA MISSING
The following unit(s) are missing their specifications data.
Generation cannot proceed until unit data is uploaded.
Please upload the unit specifications from training.gov.au before starting a run.
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💬 Send Feedback
AI AssistantCompliance Assistant
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⚠️
RTOFlow AI
OnlineGeneral
Conversations
Agent Contacts
Prompt Library
Click any prompt to send it to the chat
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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Drop instruction files here or click to upload
Instruction Files
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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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Scan Results
💡Track development tasks through their lifecycle: Planned, In Progress, Implemented, Needs Testing, Tested, Verified, Released. Jobs require test evidence before verification.
🧪 What to Test Next0
Job Queue0 items
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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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Work History
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💡User feedback and AI-generated suggestions scored by priority. Convert high-priority items into tracked Jobs for the development pipeline.
Suggested Tasks
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User Requests
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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 BuilderFEATURE
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.
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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Planned
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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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Complete
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Total Stages
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AI Providers
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Checking evidence for each stage
Next Steps to Advance
💡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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Select a document from the list to preview, or download the complete ZIP bundle.
💡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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Health
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Skills
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Last Snapshot
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Index Inventory
Index
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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
🚀
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.
💡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
Drag cards between columns to change status
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Lead-to-Customer Funnel
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Competitor Intelligence
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Growth Roadmap
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Campaign Planner
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Add Item
💡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.
