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Building AI Products

The unfiltered journey of building an AI-powered product — the bets, the rewrites, and what actually shipped.

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Building AI Products

Prompt Chaining: Break Complex AI Tasks into Reliable Steps

Learn how prompt chaining works and when to use it to build more reliable AI features — with practical examples any product builder can follow.

July 24, 20266 min read

Building AI Products

How to Reduce LLM Hallucinations in Your AI Product

Practical techniques for reducing LLM hallucinations in production — grounding, structured outputs, evals, and fallback UX that keeps users trusting your product.

July 22, 20266 min read

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Building AI Products

Designing Error States for AI Features: What to Show When the Model Fails

July 20, 20266 min read

Building AI Products

Model Routing: Use the Right LLM for Each Job in Your Product

July 19, 20266 min read

Building AI Products

RAG, fine-tuning, or long context? Choose the right AI memory strategy

July 16, 20266 min read

Building AI Products

How to improve your AI feature after it ships

July 14, 20266 min read

Building AI Products

How to Cache LLM Responses and Cut Your AI Costs

July 13, 20266 min read

Building AI Products

How to pair program with AI: a guide for solo builders

July 11, 20266 min read

Building AI Products

Streaming AI Responses: Why Fast Feels Smarter

July 6, 20266 min read

Building AI Products

How to Scope an AI Feature Before You Build It

July 4, 20265 min read

Building AI Products

How to Give Your AI App Memory

July 2, 20266 min read