Answers
Plain answers to hard AI questions
Practical, founder-written guides to the questions buyers and practitioners actually ask. No dated blog posts — just the answer, the reasoning, and what to do next.
Why do most AI projects fail?
The consistent, avoidable reasons corporate AI projects never reach production — and how to fix them before you start.
How much does AI implementation cost?
A practical breakdown of discovery, build, and run costs — and the hidden cost nobody talks about.
What is an MCP server?
Why businesses use MCP servers to connect AI assistants like Claude to real tools and data.
Is Claude good for SEO?
Where Claude helps SEO, where it needs data, and why the connection is what makes it powerful.