Writing · Nº 041065 essays
The writing
Ideas from inside the work. Explore technology, entrepreneurship, and the practice of building things that last.
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Clear filtersStrategyShould Users See the Prompt in an AI Product?Exposing the prompt lets power users steer the model, but it leaks your work and confuses most people. When to show, hide, or expose the prompt in an AI-native product.AIFirst-Run UX for an AI-Native ProductThe first run of an AI-native product decides whether users trust it. How to design onboarding that sets expectations, shows the model working, and survives a first miss.EngineeringHow to Design a Product Around a ModelProduct design when the model is the core mechanism: shape the workflow around what it does reliably, design for non-deterministic output, and build the recovery paths.ThesisAI-Native UX Is Not Just Adding a ChatbotAI-native UX is not a chatbot bolted onto your app. Why a chat box is the laziest AI interface and what designing the experience around the model really looks like.ThesisGovernance for End Users, Not Just Enterprise BuyersMost AI governance is built for the buyer who signs the contract. The end user is a governance stakeholder too, and ignoring them is how trust quietly erodes.AIRegenerate and Undo Are AI-Native UX PrimitivesIn AI-native UX, regenerate and undo are not nice-to-haves. Because model output is probabilistic, cheap retry and easy reversal are core primitives, not afterthoughts.AIHow to Show AI Confidence Without Faking PrecisionShowing AI confidence in your UX builds trust, but a fake 94% score destroys it. How to signal model uncertainty honestly without inventing numbers you cannot defend.AIStream the Answer, Don't Spin: AI-Native Latency UXAI-native latency UX means streaming tokens as they arrive, not showing a spinner. Here is why perceived speed beats raw speed for model-backed features.