1
AI product strategy
Jobs, model advantage, user value, consequence, adoption, operating model, and measurable success.
AI system 05 / 06
Interaction / trust / human controlDesign for intelligence that is powerful, variable, and
human-led.
AI changes the material of product design. Outputs vary, intent is ambiguous, latency is real, and certainty cannot be assumed. We design experiences that make those properties useful rather than confusing.
VL / DESIGN / AI SYSTEM
HUMAN CONTROLAiASK / VERIFY / ACT
EVALUATION ACTIVEIND / WORLDWIDE
01UXIntent clear
02HITLHuman led
03EVALEvidence backed
Why this exists
We shape AI products around the relationship between human judgment and model capability—making context, confidence, evidence, control, and recovery part of the experience.
ENGINEERED FORTHE DECISION
NOT THE DEMO
Complete AI capability / 05
Every layer.
One intelligence.
2
Intelligence interaction
Input patterns, generated artifacts, steering, memory, citations, uncertainty, latency, and recovery.
3
Human-control systems
Permissions, previews, approvals, overrides, escalation, audit history, and safe autonomy boundaries.
4
Evaluation experience
Rubrics, review queues, comparison tools, feedback capture, and interfaces for model improvement.
VL / DESIGN / AI SYSTEM
HUMAN CONTROLAiASK / VERIFY / ACT
EVALUATION ACTIVEIND / WORLDWIDE
Intelligence blueprint
Not a prompt.
A controlled system.
Models, private context, tools, evaluation, human judgment, and infrastructure are designed together. That is how intelligence becomes useful, observable, and uniquely yours.
01MODELS02CONTEXT03TOOLS04EVALUATION
Engineering sequence / 01—04
Progress without
the model mystery.
Understand
Study user expertise, decisions, evidence, risk, and where model assistance can be genuinely valuable.
Contract
Define what the AI knows, does, communicates, remembers, and returns to human control.
Simulate
Prototype variable model behaviour and test trust, comprehension, correction, and failure.
Systemize
Deliver interaction patterns, states, evaluation criteria, and build-ready design systems.
What the intelligence creates
Designed to make
your expertise compound.
A clear role for AI in the user’s workTrust earned through evidence and controlFailure states designed before productionReusable patterns for evolving model behaviourUseful questions
01How is AI product design different?+
The interface must account for variable output, probabilistic quality, model latency, context limits, tool permissions, citations, correction, and changing capability—not only deterministic screens and states.
02Can you design before the model is final?+
Yes. We use model probes, simulated behaviour, benchmark outputs, and capability envelopes so interaction and model discovery inform each other instead of waiting in sequence.
03How much autonomy should an agent have?+
Only what the consequence, reversibility, evidence, and operating controls justify. We design progressive autonomy with explicit permissions, approval thresholds, and recovery.
NEXT / YOUR AI SYSTEMBuild the intelligence
Start with the outcome