Trust in System Accuracy: A Cross-Industry Review
Whether it's a doctor relying on AI or a trader evaluating suggestions, trust depends on transparency and honesty about limitations. The systems…
Podcast
Feedback Loupe
The insights are mine. The hosts are not.
An occasional podcast on the frontier where AI, product design, and human creativity collide. Each episode surfaces one idea worth your attention. The hosts are fully AI-generated. The curation is not.
Latest episode
Is the Resume Obsolete?
PAI is a live experiment in what happens when a portfolio stops behaving like a static website and starts behaving like a product. Instead of forcing recruiters, hiring managers, or collaborators through the same generic grid of case studies, PAI turns conversation into navigation. It adapts to intent, opens relevant work alongside the chat, respects gated content, and demonstrates AI product design through the experience itself.
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Daemon
From UNIX background processes to AI agents, the daemon concept traces the line from reactive tools to autonomous collaborators.
Designing AI That People Trust
AI startups in healthcare, cybersecurity, and defense face a different trust problem. Trust comes from fitting into workflows, not just accuracy.
Read the essay: Trust is workflow fit under stakes. →
The Power of User Interviews: Insights and Business Impact
User interviews reveal what analytics and surveys cannot — the stories, emotions, and context behind the actions. This episode covers how to…
CMS Interoperability
FHIR, TEFCA, and the CMS Interoperability Framework — what it requires, and where the gap between standard and implementation creates the real…
Building the right thing
Building software has never been easier. Deciding what to build has never been harder. The shift from execution risk to direction risk.
AI, Design, and the Fight Against Fake Products
AI has collapsed the distance between concept and testable product. When the domain is adversarial, you design from evidence, not assumptions.
Read the essay: Fake products are a validation failure. →
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