What it does
Analyses Notion database views and filters, then recommends adjustments (properties, rollups, filters, grouping) to improve performance for large workspaces.
Why I recommend it
Teams often blame Notion when the real problem is inefficient views. Automated audits provide actionable fixes.
Expected benefits
- Faster load times for large databases
- Happier teams who stay in Notion
- Guidance on database architecture
- Reduced support tickets from users
How it works
Export view configurations via Notion API -> evaluate property count, formula complexity, filter stacking -> Claude suggests optimisations like splitting databases, using synced blocks, or archiving stale entries -> send report to workspace admins.
Quick start
Clone a problematic database, test view adjustments manually, and document improvements to feed AI prompts.
Level-up version
Automate archiving of stale records, auto-generate lightweight dashboards, and maintain a change log for governance.
Tools you can use
Workspace: Notion
Automation: Notion API, Make, Zapier
AI: Claude
Analytics: Google Sheets for metrics
Also works with
ClickUp views, Airtable optimisation suggestions.
Technical implementation solution
- No-code: Export via Notion CSV -> analyse with Apps Script -> Claude comment summary -> email workspace admins.
- API-based: Scheduled script pulls metadata -> AI analysis -> writes report to Notion database + Slack.
Where it gets tricky
Complex relational setups, permissions for reading private databases, and ensuring suggestions align with each team’s workflow.
