Ship AI products people actually trust.
A small, sharp suite for the hard parts of building AI. Anticipate user needs, measure experience quality, map behavioral dynamics, and meet regulatory compliance, all in one workspace.
Seven dimensions of AI-product experience.
Hover a point to see what each one measures.
AI can build almost anything. The hard part is what comes next.
Shipping a model is the easy part now. Making it something people trust, that adapts to who’s actually in front of it, and that stands up to a regulator: that’s where most AI products quietly struggle, and it’s usually improvised tool by tool. The toolkit brings those hard parts into one practice, so the work compounds instead of scattering.
Four tools, one practice
Each stands on its own. Use one, or the whole set as your AI product matures.
- AnticipateAnticipatory Design Framework
Design the need before users ask: the Anticipate → Imagine → Shape method, made repeatable.
- MeasureAI-UX Score
Find out whether people actually trust your AI: a respondent-backed score across 7 dimensions of experience.
- MapAudience Factors Builder
Stop treating every user the same. Map their readiness to act across five behavioural stages.
- ComplyEU AI Act
Know your risk tier and prove it: the full path from classification to a defensible compliance dossier.
Coming next
- SUS CalculatorComing soon
Classic System Usability Scale scoring for any digital product.
- Design Debt CalculatorComing soon
A Nielsen heuristics audit to score and track UX debt over time.
Four questions, not four steps.
The tools don’t run in order. Each answers a different question about your AI. They hold together because they share one worldview: human-centred, evidence-led.
- What will they need next?Design for needs before users can name them.Anticipatory Design Framework
- Do they actually trust it?Measure how people experience your AI, across seven dimensions.AI-UX ScoreSUS CalculatorsoonDesign Debt Calculatorsoon
- Who's in front of it?Map users by real readiness, not an average.Audience Factors Builder
- Are we ready for the rules?Classify risk and build a defensible EU AI Act dossier.EU AI Act
One of those questions has a deadline: most EU AI Act obligations apply from 2 August 2026.
Grounded in research, not trends.
Doctoral research at the core
The frameworks for anticipating user intent, mapping behavioural states, and measuring AI trust originate from PhD research into human-centered AI systems, not a surface heuristics checklist.
A published methodology
The Anticipate → Imagine → Shape framework is drawn directly from The Anticipatory Design Playbook (CRC Press), not a trend deck.
Established behavioural science
Audience state mapping applies proven behavioural science to AI systems, leveraging research on how humans change, rather than reinventing the wheel.
The regulation itself
The compliance pipeline is structured strictly on the EU AI Act and the EU's ALTAI framework, not a loose interpretation.
Want to collaborate?
Building an AI product and want a second pair of eyes, or a partner on it? Send a note and I’ll get back to you.