🔬 Assess technical documentation compliance with GPT‑4o and send Slack alerts
⚡ 5 views · 🔬 Document Extraction & Analysis
Description
This n8n template demonstrates how to use AI to automatically review technical documentation against predefined compliance standards — and alert your team via Slack.
Use cases: Engineering teams maintaining API docs, product teams enforcing terminology standards, or localization teams checking readiness before translation handoff.
How it works
- A document URL or raw text is passed in via manual trigger (or webhook).
- The document content is fetched and extracted as plain text.
- An AI model scores the document across 4 compliance dimensions: Structure, Terminology, Localization Readiness, and Completeness.
- The AI returns a structured JSON report with scores and gap descriptions per dimension.
- A compliance status is determined: PASS / WARNING / FAIL based on the overall score.
- A formatted Slack alert is sent to the appropriate channel based on status severity.
- All results are logged for historical tracking.
How to use
- Replace the document URL in the
Set Document Inputnode with your own source. - Update the AI prompt in the
Score Documentation with AInode to match your standards. - Add your Slack webhook URLs for each severity channel.
- Optionally connect to Google Sheets or PostgreSQL for audit logging.
Requirements
- OpenAI or Anthropic API key for AI scoring
- Slack incoming webhook URLs
- Document accessible via URL or passed as text
🔗 Nodes Used
Google Sheets, HTTP Request
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File