Design AI code review engineers will trust: diff, data, cost
Audit Your Agent's Tools and Skills Into a Trustworthy Capability Contract
Design release-date answers that show confirmed, rumored, and unknown instead of guessing a date
UX Patterns
Token Budgets: A UX Pattern for AI Coding Spend
Expose context costs, default to cheap deterministic steps, and make savings legible: a token-budget pattern for AI coding tools.
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Design AI code review engineers will trust: diff, data, cost
Audit Your Agent's Tools and Skills Into a Trustworthy Capability Contract
Design release-date answers that show confirmed, rumored, and unknown instead of guessing a date
Audit Your AI Health Assistant’s E. Coli Answer: No Diagnosis, Clear Uncertainty, Citations, and Escalation
Ship AI wearables people can read: a visible-state design spec for capture, processing, and data use
Design the AI Outage State: Name the Failure, Show What Still Works, and Give Users a Next Step
Ship the Office Suite: How a Local LibreOffice Cache Turns AI Output Into a Trustable Document Pipeline
Ship Small Models Only After Trust Evals
Evals
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Audit Your AI Health Assistant’s E. Coli Answer: No Diagnosis, Clear Uncertainty, Citations, and Escalation
A consumer health chatbot should treat an acute-infection question as a safety event, not a symptom checker.
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Ship Small Models Only After Trust Evals
A fast training claim is not a product; it is a hypothesis. Run workflow-level evals before users meet the model.
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Ship agent evals that catch task failures, safety slips, cost spikes, and latency regressions before users do
Treat agent evals as a design system: instrument sessions, score task success, safety, cost, latency, and feedback, then gate releases before users meet regressions.
Trust & Safety
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Design AI code review engineers will trust: diff, data, cost
AI code review earns trust when findings are checkable, data handling is explicit, and spend has a ceiling.
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Audit Your Agent's Tools and Skills Into a Trustworthy Capability Contract
Turn your agent's hidden tools, permissions, and failure modes into an inspectable contract that users can actually verify.
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Ship AI wearables people can read: a visible-state design spec for capture, processing, and data use
AI wearables earn trust when capture, processing, and data use are visible states, not a single LED or a vague privacy promise.
UX Patterns
-
Token Budgets: A UX Pattern for AI Coding Spend
Expose context costs, default to cheap deterministic steps, and make savings legible: a token-budget pattern for AI coding tools.
-
Design release-date answers that show confirmed, rumored, and unknown instead of guessing a date
A trustworthy assistant should answer a release-date question with a date-state, a source, and a next action, not a confident guess.
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Design the AI Outage State: Name the Failure, Show What Still Works, and Give Users a Next Step
A clear degraded-service contract tells users what is broken, what still works, and what to do next.
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