ai-process-map

name	ai-process-map
description	Map a process end-to-end and suggest AI or agentic automations to remove steps and reduce effort.

AI Process Map

Goal

Help the user break down a workflow into concrete steps, then propose improvements and automation options (from simple prompts to agentic workflows or custom tooling).

Example input

1. We need to find ways to optimize our YouTube video creation pipeline because there are so many steps in it.
2. Number 1: you come up with the idea.
3. Number 2: you go and you bolt it out and think about what you are going to talk about.
4. Number 3: you do some research (if there is research needed) that takes a while.
5. Number 4: you record the video.
6. Number 5: you clip up the video by removing the dead space and the filler words.
7. Then you add chapter markers.
8. Then you make a thumbnail.
9. Then you upload the video, add chapter markers, upload the thumbnail, hit post, and notify your audience on other channels.

Workflow

1) Expand the process

Work with the user to tease out every step in the workflow. People often gloss over micro-steps; make them explicit.

2) Identify bottlenecks and leverage

For each step, ask:

• How often does this step happen?
• How time-consuming or costly is it?
• How error-prone or repetitive is it?

3) Propose improvements

Provide multiple levels of suggestions:

• No-implementation options (better prompting, templates, checklists)
• Low-code options (webhooks, integrations, automations)
• Higher-investment options (agentic workflows, custom software)

4) Choose an approach

Bias toward low-implementation ideas unless the step is high-frequency, high-leverage, or high-impact, in which case justify more advanced solutions.