ai-workflow-designer

# 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 Ask for these if not provided: - **The task/process** — the recurring thing you want AI to help with - **The current steps** — how you do it now, manually - **The stakes** — how much errors cost (drives how many human checkpoints) - **Your ...