AI services ready
DW
Step 2 · Generate and refine

AI Craft Studio

Specialised design agents transform the brief into three distinct activities, assess them against pedagogical and practical criteria, and surface the reasoning for lecturer review.

Co-design pipeline

Human-in-the-loop by design

Ready to run
1
Interpret the teaching brief

Extract intent, learner needs, constraints and success evidence.

Queued
2
Check pedagogical alignment

Map Bloom's levels, 7 Modes and Seriously Fun design criteria.

Queued
3
Generate three design options

Create differentiated concepts rather than minor wording variants.

Queued
4
Refine with feasibility guardrails

Fit the 120-minute lesson, materials and accessibility constraints.

Queued
5
Prepare lecturer decision evidence

Score, explain trade-offs and recommend the strongest option.

Queued

Specialist design agents

Each agent contributes a traceable design lens

4 online
PPedagogy

Checks cognitive progression and mode activation.

Bloom + 7 Modes
FSeriously Fun

Designs curiosity, challenge, agency and social interaction.

Engagement
OOperations

Tests timing, resources, accessibility and delivery risk.

Feasibility
EEvidence

Defines student outputs and observable success signals.

Assessment

Guardrails in force

Requirements the AI cannot ignore

No live microorganisms
Hard constraint
120-minute maximum
Hard constraint
Written + verbal instructions
Accessibility
Real-world team problem
Learning need
Projected engagementAI estimate
91
94
87
92
Operational feasibilityConstraint check
96
98
95
96
Learning alignmentEvidence coverage
94
96
93
92
Compare generated options →