Writing · Nº 041065 essays
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Ideas from inside the work. Explore technology, entrepreneurship, and the practice of building things that last.
45 essays found · Page 1 of 4
Clear filtersAIMake Thumbs Up and Down Feedback Actually UsefulA thumbs up/down on AI output is easy to add and usually useless. How to design user feedback that actually improves an AI-native product instead of collecting dead data.StrategyShould 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.StrategyAI Native Beats AI Bolted OnProducts where the model is the mechanism will outcompete products that staple AI onto an existing workflow. A competitive prediction, not a definition.StrategyWhere the Moat Lives in an AI-Native ProductThe moat in an AI-native product is not the model. Where defensibility actually comes from: workflow lock-in, proprietary data, and the trust layer competitors cannot copy.EngineeringHow to Set a Latency Budget for AI FeaturesA latency budget forces you to decide how slow an AI feature is allowed to be before you build it. How to set one, spend it across the pipeline, and design around it.ThesisAI-Native Recruiting vs an ATS That Keyword-Matches ResumesAI-native recruiting reasons about the candidate. A legacy ATS keyword-matches resumes and rejects strong people. Here is the difference and why it matters.OperatingHow to Rebuild a Workflow Around the ModelA practical guide to rebuilding a workflow around an AI model instead of bolting one on. Start from the job, remove steps, and put the deterministic gates where they count.EngineeringHow to Design a Review Queue for AI OutputA human review queue is how AI-native products handle low-confidence output at scale. How to design one that routes the right cases, ranks them, and closes the loop.ThesisAI-Native Tax Prep vs Interview-Style Tax SoftwareAI-native tax prep reads your documents and drafts the return. Legacy software walks you through a 200-question interview. Here is why reading beats interviewing.ThesisAI-First vs AI-Native: They Are Not the SameAI-first and AI-native sound alike but mean different things. AI-first is a priority, AI-native is an architecture. Why the distinction decides if your product holds up.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.StrategyWhy AI-Native Looks Different in Every IndustryAI-native is not one blueprint. It looks different in healthcare, law, finance, and dev tools. Here is how to tell what native means in your specific field.