R1 · Use-case field guide
Practical AI use cases for design thinking
Sourced from practice and research. Each case shows what AI can help with, what stays human, and where to stop.
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Showing 12 of 56 use cases
Alternate AI divergence with human convergence
Frame an emerging-technology challenge yourselves, use AI for provisional directions, then verify and select through human review.
Analyse interviews in NotebookLM — as a second pair of eyes
Ask NotebookLM to surface patterns and source-linked answers across interview transcripts, then keep interpretation and storytelling with the researcher.
Audit persona prompts for stereotype drift
Compare logged persona-prompt runs against coded community evidence, then block unsupported demographic assumptions, pain points, and solutions before personas circulate.
Build a seven-part prompt card for one classroom activity
Turn one teaching intention into a reusable prompt card with role, task, context, input, example, format, and clarifying questions.
Build the strongest case — then find its cracks
Ask AI to steel-man a rough problem framing, then switch sides and expose the three objections your team cannot dismiss.
Challenge an AI concept map before brainstorming
Compare an AI-generated map with students' prior knowledge and checked sources, repair it together, then close with a human-led brainstorm.
Choose one bounded AI task in each design phase
Use a per-phase support menu for drafting, organising, or planning while people keep creativity, interpretation, research, and decisions.
Co-ideate through present, past, and future questions
Give a custom GPT your design problem, then let it interview you one question at a time before you shape and judge concepts.
Compare design work without AI, with AI, and fully AI-supported
Take one challenge through three comparable passes to experience where AI accelerates analysis and where human creativity should lead.
Compare human and AI contributions in a three-hour design sprint
Alternate human reasoning, AI support, and explicit comparison from empathy through ideation and rapid prototyping in one compact workshop.
Compare international cases before proposing local actions
Ground a local challenge first, then use AI to compare exact case sources before people design and test locally appropriate actions.
Compare one prototype prompt across three builders
Run one narrow, identical prototype brief through v0, Bolt, and Lovable, then manually score the untouched outputs before choosing a direction.