Topic

Building AI Products

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

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Streaming AI Responses: Why Fast Feels Smarter

Streaming makes your AI app feel dramatically faster without changing the model. Here's how to add it, what breaks along the way, and when not to bother.

July 6, 20266 min read

Building AI Products

How to Scope an AI Feature Before You Build It

Most AI features fail before they're built — because the scope was wrong. A practical framework for defining what your AI should do, how good is good enough, and when to stop.

July 4, 20265 min read

Building AI Products

Streaming AI Responses: Why Fast Feels Smarter

How to Scope an AI Feature Before You Build It

How to Give Your AI App Memory

How to Write a Product Spec with AI Before You Write Any Code

When to Use AI Agents — and When a Simple LLM Call Is Enough

Structured Outputs: The Reliability Layer Your AI Product Is Missing

How to Design AI Features That Users Actually Trust

LLM Tool Calling: A Practical Guide for AI Product Builders

Context Window Management for AI Product Builders

Prompt Versioning: Treat Your Prompts Like Production Code

How to Write System Prompts That Actually Work in Production

How to Write LLM Evals for Your AI Product

What Is Vibe Coding, and How to Do It Without Shipping a Mess

Measure Before You Optimize: The Codepet Bug That Proved Us Wrong

Building an AI Product in Public: What Codepet's First Year Taught Us