Build the workflow you will actually keep.
This is where Foundations becomes operational. Pick one loop, define the inputs and checks, and leave with a system you can run again tomorrow.
Your first durable AI workflow should be small and repeatable.
Do not finish Foundations by building something enormous. Finish by defining one loop you can reuse weekly with low friction. Good examples: weekly brief creation, meeting prep, draft generation, pipeline summaries, research digestion, or follow-up writing.
The workflow design checklist
- Trigger: what starts the loop?
- Context: what material does the system need?
- Prompt asset: what reusable instruction set works best?
- Review: what must a human check?
- Output: where does the result live when finished?
Design for reuse, not novelty.
The workflow is good if it becomes easier to run over time. Save the prompt. Save the output shape. Save the checklist. Note the common failure modes. The point is not to impress yourself once; the point is to reduce drag every time the work comes back.
If you are ready for more depth after this, move into Builders to understand production systems or go straight into AI Agent to use a trust-bound workspace in practice.
Capstone exercise
Write your workflow on one page. Include:
- the weekly trigger,
- the input sources,
- your reusable prompt structure,
- the review rule, and
- the destination for the finished output.
If another person could run it with minimal explanation, you built something real.