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AI education · content

AI Lab content systems

Mar to Sep 2026

AI tutorials for a nine-figure education company, on a pipeline I built.

200+ videos

teaching AI to non-technical adults

Diagram: a shared context layer feeding the idea engine, publishing pipeline, newsletter builder, and KPI report
One context layer, two coding agents.

What I built

Idea engine

New video ideas are checked against everything already made, researched first, then scored on a rubric with hard gates, so only strong ideas reach a script.

Publishing in one command

Upload into the right Wistia series, a loudness check before members hear it, the tracker updated and the thumbnail set. A newsletter builder stages each send for a person to approve.

Across models

I taught Grok on the X API alongside Claude and OpenAI, and built the shared context so Claude Code and Codex worked from the same rules.

In their words

“You have the double skill set, which is the AI itself plus presenting, and that is more valuable than just the AI.”

Emils Pakarklis, Founder, iPhone Photography School

Engineering

Models draft, a person publishes.

How it fits together
Shared context files for Claude Code and Codex, feeding scripts, publishing, newsletters and a weekly KPI report.
Tested
A lint on the KPI report.

My role. I built it as the in-house Applied AI Engineer.