Everyone's Reading The Recipe. Nobody's Learning To Cook.

Everyone's Reading The Recipe. Nobody's Learning To Cook.

The $250K AI engineering job comes in a specific order — most people cook it backwards

The $250K AI engineering job comes in a specific order — most people cook it backwards

The gist…

The gist…

You built a chatbot in a weekend. Cool story bro. Nobody's hiring that.

AI engineers are pulling $150K, $250K, even seven figures at places like Anthropic and OpenAI. But most people trying to break in are cramming the flashy shit and skipping the parts that actually get them hired.

Basically: the AI is the recipe. The engineering is the cooking. And right now, everyone's trying to plate a tasting menu before they've learned to chop onions.

What we get into:

  • The 6-step order that actually gets you hired, and the fundamentals (Python, FastAPI, Git, Docker) most people skip straight past for a weekend chatbot

  • Why RAG and vector databases are the single most in-demand skill in AI engineering right now

  • The line between a chatbot that answers and an agent — built with tools like LangGraph and CrewAI — that actually does something

  • What separates a real portfolio (a support agent actually in production) from a ChatGPT clone that only runs on your laptop

Nobody's asking you to open a five-star restaurant by Friday. Just prove you can cook... not just read the menu.

Transcript

HEY

I’m Tom, and I run Cold. I help startup founders and marketers make progress.

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