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.
Chat with AI to fine-tune the direction for each unit before generating
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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💡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.