writing · tag
Production AI
9 posts tagged “Production AI.”
Your Agent Is Only as Safe as the Tools You Let It Call
The model isn't your attack surface. The pile of MCP servers and integrations you wired up in an afternoon is. Agent security is a permissions problem before it's a prompt problem.
Read →The Handoff Is the Product
Everyone designs the happy path and bolts escalation on later. But what your agent does when it doesn't know is the entire customer experience.
Read →If You Can Build It in a Weekend, So Can Your Competitor
Wrapping a model isn't a moat. Where AI actually creates defensibility for a startup — and where it just commoditizes you alongside everyone else.
Read →Can You Trust an AI Agent With Your Customer Data?
The data-privacy and security questions every founder should ask before letting an agent touch customers, payments, or PII — in plain language, not a compliance lecture.
Read →Guardrails: The Boring Work That Keeps AI Out of the Headlines
Every AI failure that makes the news shares a missing guardrail. They're the unglamorous constraints that turn a confident-but-risky agent into one you can actually trust.
Read →Why Your AI Demo Won't Survive Real Users
The demo was flawless. Then real users touched it. The gap between a demo that wows and a system that survives is the unglamorous work that decides whether AI ships.
Read →Evals for People Who Aren't ML Engineers
Evals sound like data-science jargon. They're just a way to test whether your AI is any good, on purpose, on a cadence. Here's how to build your first one with a spreadsheet.
Read →The 70/30 Method: Building With AI Agents Without Betting the Company on Them
Why I let AI agents handle about 70% of the work and keep 30% for senior judgment — and how that ratio keeps AI projects out of the ditch.
Read →How I Build AI Agents That Actually Ship
Most AI agents die in the demo. Here's the process I use to get them into production — and the unglamorous parts that decide whether they survive contact with real users.
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