104 cards for designing AI tools users trust, understand, and come back to — tuned to the moments where adoption actually breaks.
Featuring AI product tactics used by:
Generic AI playbooks tell you to “add chat” and “train on user data”. They don't help when your activation collapses on day two, your power users stop opening the product, or your enterprise pilot stalls in week three.
Adoption breaks at specific moments. The empty prompt. The plausible-but-wrong answer. The correction that never sticks. The connector that nobody grants permission to. Each has a known shape — and a known action card to apply.
The deck is organized around the workflow that actually changes outcomes: identify the adoption problem before choosing action cards, apply the cards that target the symptom, then run a workshop to turn the action card into product decisions.
Start with a Diagnostic that matches your symptom. The deck includes 12, each pointing to the action cards most likely to help.
80 action cards across 10 stacks — from product fit to retention. Each card carries the same structure: what it is, why it works, when, how, what to avoid, example, metrics, pair-with.
12 workshops turn the action card into product decisions, copy, experiments, or specs. Each ships with a fillable deliverable template.
Pickable in 30 seconds, applicable in an afternoon. Each action card carries enough structure to be argued about in a product review — and enough specificity to ship.
Show the user the path the AI took from input to output — sources, steps, and the claims each one supports.
Trust is built on traceability. When users can see which source backed which sentence, they stop having to verify the whole output and start verifying the ones that matter.
The AI synthesizes across sources, and users need to defend the output to someone else — a client, a regulator, a manager, themselves.
Don't bury citations in a footnote panel. Don't show every retrieved chunk — show the ones the answer actually used.
Stacks map to where AI adoption breaks — from the first prompt to team rollout.
e.g. AI-Native Job to Be Done
e.g. Model of the Model
e.g. Clarifying Question Gate
e.g. Evidence Trail
e.g. Editable Memory
e.g. Prompt Injection Tripwire
e.g. Agent Scope Card
e.g. Golden Task Set
e.g. Delete and Forget
e.g. Return Hook
+ 12 Diagnostics · + 12 Workshops · 124 pages
The deck includes a full triage table — start from a user quote, a behaviour pattern, or a metric signal. Each maps to the diagnostic most likely to apply. Below: the verbatim patterns.
Designed to be printed, annotated, and put on the wall next to the roadmap. Hyperlinked between cards, indexed by symptom, stack, and metric.






Same PDF, second life — paired with a SKILL.md companion file that turns it into a drop-in skill for any LLM. Attach both to Claude, ChatGPT, or any agent loop, and the deck becomes a reasoning surface your model can search by symptom, retrieve by card, and apply to your transcripts, your roadmap, your last user interview.
Attach the deck to a Claude or ChatGPT thread. Paste a user quote, a support transcript, or a funnel drop — ask which diagnostic applies. The model answers in cards, not platitudes.
Ships with a SKILL.md file you can drop into Claude Skills, a Custom GPT, or your agent's retrieval stack. The Diagnostic → Action → Workshop structure is addressed by name — agents reason in the same shapes the deck does.
Every card carries the same fields — symptom, stack, metric, pair-with. Models locate the right card without rereading the deck, and surface the action that matches the moment your team is in.
Works with Claude · ChatGPT · Gemini · Cursor · any tool that reads PDFs
One-time purchase. Lifetime updates to v1.x. Org-wide sharing rights at every tier.
30-day money-back guarantee, no questions asked.
If the deck doesn't help you move the needle on AI adoption, email us within 30 days and we'll refund you in full.

Paulius Uza
CTO · AI & Fintech
“Most teams shipping AI today are not blocked on the model. They're blocked on the hundred small product decisions around it.”
This deck is the compressed version of those decisions: the failure modes I've watched teams hit again and again, paired with the specific action cards that move the metric. It exists because there is no shortage of AI hype — and a real shortage of concrete, applicable product work.
— Compiled from product reviews, postmortems, and adoption interviews across teams shipping AI in 2024–2026.
12 diagnostics. 80 action cards. 12 workshops. One workflow that gets you from symptom to ship.
Get the deck — $249 →