Real-world notes for founders navigating the messy road from idea to launched product.
75% of AI MVPs fail to deliver ROI. Here are the three proven patterns that actually ship to production.
88% adoption, 42% abandonment, and the uncomfortable truth about AI projects that actually ship to production.
67% of users abandon chatbots after getting stuck in a loop. Here's what the failure data reveals about building AI agents users don't hate.
48% of Cursor's auto-generated code contains critical issues. Here's what the benchmarks reveal and how to use AI coding tools without destroying your codebase.
Most AI MVPs fail because founders chase technology instead of solving problems. Here's how to decide if AI belongs in your first release.
Choosing an LLM provider for your startup? Compare OpenAI, Anthropic, and open-source options on cost, quality, reliability, and integration complexity.
Learn practical strategies for reducing AI costs without sacrificing quality, from caching to model routing to prompt optimization.
Learn the decision framework for when to build custom, buy off-the-shelf, or skip AI chat entirely for your startup.
AI features can make your MVP slower, more expensive, and harder to iterate. Learn the warning signs that AI is adding complexity your product doesn't need.
