Generate Workflow Documentation

What it does

Automatically creates human-readable documentation for Zapier, Make, or n8n workflows using AI, explaining what each workflow does, when it triggers, and what actions it performs without manual documentation writing.

Why I recommend it

Undocumented automations become “black boxes” that break when the creator leaves or nobody remembers why they exist. AI-generated docs keep your automation stack maintainable and understandable by the whole team.

Expected benefits

  • Zero undocumented workflows
  • Faster troubleshooting when automations break
  • Easier onboarding for new team members
  • 10-15 minutes saved per workflow documentation

How it works

Export workflow configuration from automation platform -> send to AI with documentation prompt -> AI generates plain-English explanation of trigger, logic, actions -> save to Notion/Confluence with workflow name and last-updated date.

Quick start

Manually export your top 5 most critical workflows. Feed the JSON/config to ChatGPT and ask it to “explain this workflow in plain English for non-technical users.” Review the output, then automate the export-to-docs process.

Level-up version

Auto-update documentation when workflow is modified. Include troubleshooting tips based on common failure points. Generate visual flowcharts from workflow config. Create searchable workflow library with tags and categories.

Tools you can use

Automation: Zapier, Make, n8n for workflow configs

AI: ChatGPT API, Claude API

Documentation: Notion, Confluence, Google Docs

Storage: GitHub for version control

Also works with

Workflow platforms: Integromat, Power Automate, Workato

Knowledge base: GitBook, Readme.io, Slite

Diagrams: Lucidchart, Miro for visual documentation

Technical implementation solution

  • No-code: Manually export Zapier workflow JSON -> upload to ChatGPT via Zapier -> AI generates documentation -> save to Notion page with workflow name.
  • API-based: Zapier/Make API export all workflows -> for each workflow send config to Claude API with structured prompt -> parse response -> create/update Confluence page via API -> tag with workflow status.

Where it gets tricky

Keeping documentation in sync when workflows change, handling complex conditional logic that’s hard to explain, documenting API credentials and secrets safely, and making docs useful without being overwhelming.