Notes on building MVPs and AI systems that ship

What things cost, which stack to pick, and how the AI parts actually work — written from client builds, not a content calendar.

• AI Automation for Small Business: Where to Actually Start — Most small businesses don't need an AI strategy — they need one workflow automated well. Here's how to find it, and why that's different from wiring up another Zapier flow.
• What Is RAG? How AI Agents Actually Use Your Company's Data — Retrieval-augmented generation is the difference between an AI that guesses and one that actually knows your business. Here's what RAG is, how it works, and where it quietly breaks down.
• What Is Agentic AI? A Plain-English Guide for Founders — "Agentic AI" gets used for everything from a chatbot to a fully autonomous system. Here's the actual difference, in plain English, and how to tell which one your business needs.
• How Much Does an MVP Cost in 2026? A Realistic Breakdown — A straight answer to "how much does an MVP cost" in 2026 — what actually drives the $10K to $150K+ range, why scope beats platform every time, and how to budget yours realistically.
• Bubble.io vs Custom Code: How to Decide in 2026 — Bubble or Next.js? The right call depends on what question you're actually answering — not which tool sounds more serious. Here's the framework we use with every client.
• Jev and the Rise of "System One" Models for AI Agents — Most of an AI agent's steps aren't writing text -- they're small decisions: route this ticket, classify this document, which tool do I call. Jev is a new "System One" decision model built for exactly that, and it's worth understanding if you build agents.