Lessons from shipping AI products. Practical, opinionated, and based on real projects.
A week-by-week breakdown of the 100x Engineering MVP development sprint — what is included, what you ship, and why the fixed price model works.
AI sprint vs traditional development: how a 3-week sprint compares on speed, cost, and outcomes. What founders and product teams need to know.
You don't need ML engineers or a data science team to ship an AI product. Here's the modern stack and process for building LLM-powered products fast.
The complete 2026 guide to AI development terms, tool comparisons, and engineering concepts. Updated weekly with new definitions and comparisons.
The most common AI MVP mistakes founders make: bad scope, wrong stack, missing validation. Here's what founders get wrong — and how to fix it.
The 5 AI agent architecture patterns that actually ship to production: ReAct, Plan-and-Execute, multi-agent, RAG agents, and event-driven pipelines.
Real numbers behind AI development costs: team, infrastructure, APIs, and maintenance. What to budget at each stage from MVP to production in 2026.