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AI Automation Playbook

Stop prompting. Start orchestrating complete AI workflows.

This one has not been recorded yet. Everything below is what it would cover — written down so you can tell us whether it is worth making. The button puts you on the list for this course and nothing else.

This is for you if

  • You have automated pieces and still glue them together by hand.
  • You want a reference for the patterns rather than one worked example.
  • You keep reinventing the same shape and would like to name it.

Afterwards you can

  • Recognise which pattern a given problem wants before you start building.
  • Chain steps so a failure in the middle does not lose the work before it.
  • Know the cost of each pattern, in money and in attention.
  • Come back to it as a reference rather than remembering the whole thing.

What is in it

  1. The patterns, named, with when each one fits
  2. Chaining, and what happens when step three fails
  3. Cost: tokens, time, and your own attention
  4. The ones that look clever and are not worth it
  5. Using this as a reference
NVIDIA Inception Program member

One living model between business and software development.

Business logic for people and AI. Real changes synchronized. Rework measured automatically.

Open source, local-first, and your source stays in your environment.

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