Aero Interactive

Field Notes

Field notes on designing for the agentic web: design systems, AI product UX and answer-engine visibility. Every article we have published, in one searchable list.

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Agent-ready design systemsJune 2, 2026By Lindsey J
Is your design system agent-ready?
Agent-ready design systems let AI agents build on-brand and on-system. Here is what agent-readiness means and how to audit your component library for it.
6 min read
Agentic product designJune 4, 2026By Lindsey J
Agentic products live or die at the approval step
5 min read
AI trust and transparencyJune 17, 2026By Lindsey J
Your AI will be confidently wrong. Design for it
6 min read

26 field notes

Brand for people and machinesSeptember 24, 2026By Lindsey J
Everyone sees a different product now. Does it still look like yours?
AI personalization is scaling fast across every industry, but most teams have no design guardrails for it. A practical framework for keeping AI-personalized experiences on-brand and trustworthy.
6 min read
Agent-ready design systemsSeptember 20, 2026By Lindsey J
Vibe coding hit production. Is anyone reviewing what shipped?
AI-generated code quality is stalling on security and slipping past design review entirely. A practical review framework for product teams shipping AI-assisted code.
6 min read
Agentic product designSeptember 14, 2026By Lindsey J
The screen that assembles itself: a field guide to generative UI
What generative UI means for product teams: how AI-assembled interfaces work, the risks they introduce, and Aero's readiness framework for keeping brand and accessibility control.
6 min read
AI product strategySeptember 11, 2026By Lindsey J
AI broke the pricing page. Here's how to fix it
A practical guide to AI pricing page design: why usage-based and hybrid pricing need a different UX than per-seat SaaS, and how to build pricing pages that convert.
6 min read
Brand for people and machinesSeptember 8, 2026By Lindsey J
When AI design tools make every product look the same
How product and design teams can use AI design tools without letting interfaces converge on generic, look-alike patterns. A practical differentiation framework for design leaders.
5 min read
AI trust and transparencySeptember 4, 2026By Lindsey J
AI personalization is only as good as the trust behind it
A practical guide to AI personalization UX: why transparency, not just relevance, is what makes users trust personalized products across SaaS, fintech, and healthcare.
6 min read
AI trust and transparencySeptember 2, 2026By Lindsey J
Your AI feature is accurate. Your users still don't trust it
A practical guide to AI explainability in product design: confidence indicators, citations, and reasoning traces that help fintech, biotech, and SaaS teams earn user trust in AI features.
6 min read
AI product strategyAugust 31, 2026By Lindsey J
When every product has AI, what actually makes yours different?
A practical framework for AI product differentiation now that AI copilots and agents are becoming table stakes across every industry.
6 min read
Agentic product designAugust 28, 2026By Lindsey J
Agentic commerce is coming for your checkout flow
A practical guide to agentic commerce: how product and design teams should prepare checkout, subscription, and account flows now that AI agents are completing transactions on a user's behalf.
5 min read
Agentic product designAugust 26, 2026By Lindsey J
The AI engineering vocabulary stack: prompt, context, loop, harness
A practical framework for AI agent engineering: how to tell whether a broken AI workflow is a prompt problem, a context problem, a loop problem, or a harness problem.
6 min read
AI feature adoptionAugust 24, 2026By Lindsey J
Getting people to use your AI feature: a behavior-change approach
Why AI feature adoption fails even when the technology works, and the behavior change design approach that gets people to actually use what you shipped.
5 min read
Agent-ready design systemsJuly 10, 2026By Lindsey J
The design system engineer is the human AI can't replace
Why the design system engineer remains a human-in-the-loop role: AI coding tools generate components but fail at token architecture, accessibility, and system-level judgment.
5 min read
Agentic product designJuly 6, 2026By Lindsey J
Stop bolting a chatbot onto everything
AI interface design decides whether an AI feature gets used or ignored. Why the chatbot default fails, four interface patterns, and a five-question check to choose the right one.
5 min read
Agent-ready design systemsJune 29, 2026By Lindsey J
Your design system is now a governance problem
Design system governance is the new bottleneck as AI generates UI at scale: what it means, why consistency drives conversion, and a five-question design system governance check for any product team.
6 min read
AI feature adoptionJune 24, 2026By Lindsey J
Why nobody is using your new AI feature
AI feature adoption is the real bottleneck: why shipping AI features outpaces real use and value, plus a five-question AI feature adoption check for any product team.
5 min read
AI trust and transparencyJune 24, 2026By Lindsey J
When users trust your AI too much
AI trust calibration is the overlooked design problem: when users trust AI too much, confident wrong answers do real damage. A five-question AI trust calibration check for any product team.
6 min read
AI trust and transparencyJune 22, 2026By Lindsey J
Should your product tell users it's AI?
AI transparency is becoming a default: why disclosing AI to users is a trust decision and not just EU AI Act compliance, plus a five-question AI transparency check for any product team.
6 min read
AI product strategyJune 19, 2026By Lindsey J
Cutting support staff for AI? Half of companies will rehire
AI customer service is a service-design decision, not a headcount cut. Why half of companies that cut support staff for AI will rehire, plus a five-question human-AI service model check for any team.
6 min read
AI trust and transparencyJune 17, 2026By Lindsey J
Your AI will be confidently wrong. Design for it
Designing for AI failure states: why every AI feature needs an error-recovery experience that signals confidence, fails gracefully, and makes correction easy, with a five-question failure-readiness check for any product team.
6 min read
Answer-engine optimizationJune 15, 2026By Lindsey J
Accessibility is the new baseline, not the bonus
Web accessibility compliance is now a baseline, not a bonus. What the European Accessibility Act and WCAG 2.2 mean for any product team, plus a five-question readiness check.
5 min read
Answer-engine optimizationJune 12, 2026By Lindsey J
Speed is a feature: what Core Web Vitals cost you in conversions
How Core Web Vitals and INP affect conversion: why web performance is a revenue lever for any product team, plus a five-question speed-to-conversion check.
5 min read
AI feature adoptionJune 10, 2026By Lindsey J
Your AI pilot works. Why won't it scale?
Scaling AI from pilot to production is a workflow and design problem, not a model problem. Here is why most pilots stall, with a five-question readiness check.
6 min read
Answer-engine optimizationJune 8, 2026By Lindsey J
When buyers stop clicking: designing for the answer-engine era
Answer engine optimization explained: as AI summaries cut click-through, here is how any product team stays legible, credible, and cited, with a five-question self-assessment.
6 min read
Agentic product designJune 4, 2026By Lindsey J
Agentic products live or die at the approval step
Agentic UX shifts the design problem from doing to verifying. Here is how to design the approval layer so any AI product earns user trust, plus a quick self-assessment.
5 min read
Agentic product designJune 4, 2026By Lindsey J
The agentic web, defined: a glossary
Plain-language definitions of the terms shaping AI-first design and development: agentic web, agent-ready design systems, AEO, MCP, and more.
5 min read
Agent-ready design systemsJune 2, 2026By Lindsey J
Is your design system agent-ready?
Agent-ready design systems let AI agents build on-brand and on-system. Here is what agent-readiness means and how to audit your component library for it.
6 min read

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