AI-Workflow Designer

The mistake people make with AI is bolting it onto a task randomly — or trying to fully automate something that needs judgment, then losing trust when it goes wrong. Real leverage comes from designing the workflow: deciding which steps AI does well, which need a human, and where the checkpoints are. This maps that for your recurring task, so you get the speed of AI with the reliability of human judgment where it matters — and you stay in control.

What This Skill Produces

• The step map — the task broken into steps, each labeled: 🤖 AI does it · 🧑 human does it · ✅ human checks it (AI drafts, human approves)
• The right tool/prompt per AI step — what to use and how to prompt it for each automated step
• Hand-offs & checkpoints — how outputs pass between steps and where the human review points are (so errors are caught, not propagated)
• Failure modes & guards — where this workflow could go wrong (AI errors, hallucination, edge cases) and the checks that catch them
• A start-small rollout — how to introduce it incrementally and build trust before relying on it
• The keep-human line — the steps that should stay human (judgment, relationships, high-stakes calls) and why

Required Inputs