AI Design Playbook Toolkit
by AI Design Playbook
$29
A practical toolkit for product designers, PMs, and AI product teams who need to define behavior, surface tradeoffs, and align faster on AI-powered experiences.
AI product work gets vague fast
Most teams don’t struggle to come up with AI ideas.
They struggle to answer the harder questions:
What should the AI actually do?
How much initiative should it have?
Where should users stay in control?
What needs to be visible, explainable, or reviewable?
What are we optimizing for - speed, trust, accuracy, effort, or flexibility?
Without a shared way to work through those decisions, teams end up with fuzzy product direction, circular debates, and expensive rework later.
That’s what this toolkit is for.
What this helps you do
The AI Design Playbook Toolkit helps you:
Define how an AI feature should behave before implementation
Make key product and UX tradeoffs explicit early
Align product, design, and engineering around a clearer direction
Identify trust, control, and transparency issues before they turn into design problems
Leave strategy and working sessions with something more useful than scattered opinions
In other words: less ambiguity, better decisions, faster alignment.
What’s inside
✅ Core Playbook (22-page PDF)
The main framework for thinking through AI product behavior, decision criteria, interaction patterns, and design risks.
✅ Play Template (PDF)
A reusable working template for structuring a specific product decision, workflow, or AI behavior.
✅ Design Review Template (PDF)
A practical review tool for evaluating trust, control, transparency, and user understanding before launch.
✅ Notion Templates
Editable versions for teams who want to use the toolkit in collaborative docs.
✅ LLM-Ready Playbook (Markdown)
A clean version you can use with ChatGPT, Claude, Cursor, or other AI tools.
✅ Playbook Coach Skill Files
Prompting assets that help you facilitate the process with an assistant or agent like Claude, Codex, or Cursor.
✅ Editable Figma Source File
Source materials you can adapt to your own workflow.
Who it’s for
This is for people doing real AI product work, especially:
Product designers
Product managers
AI/ML design leads
UX and design ops teams
Cross-functional teams shaping AI-powered experiences
What you should walk away with
After using the toolkit, you should have:
A clearer definition of the product behavior
Stronger team alignment
Explicit tradeoffs and constraints
Better review inputs for product and design decisions
A more grounded path from concept to execution
Why this is different
There’s no shortage of AI product advice.
Most of it is interesting. Much less of it is usable.
This toolkit is built to help you actually make decisions: what the AI should do, how much autonomy it should have, where users need control, and what needs to be true before the experience is ready.
It’s not just something to read. It’s something to work with.
FAQ
Is this just theory?
No. It includes practical templates, worked examples, and reusable assets you can use immediately.
How long does it take to use?
A focused play can take around 30–60 minutes, depending on the complexity of the feature or decision.
Is this for designers or PMs?
Both. It’s designed for cross-functional product work where design, product, and engineering need a clearer shared model.
Can I use this with ChatGPT, Claude, Cursor, or another AI tool?
Yes. The included Markdown and skill files are designed for LLM and agent workflows.
Refunds & support
If the toolkit isn’t a fit, email hello@ai-design-playbook.com within 14 days of purchase and include your purchase email or Gumroad receipt. We’ll help troubleshoot or process a refund.
Make better AI product decisions
Get clearer faster, reduce avoidable rework, and ship with more confidence.