Log AI Requests → Analyze Context → Generate Productivity Insights
Capture AI interactions with business context to measure true productivity impact, not just token volume, helping teams optimize their AI workflows.
Workflow Steps
Notion
Log AI interactions with context
Create a database to log each AI request including the business goal, time saved, quality of output, and follow-up actions needed. Include templates for common use cases like email drafting or code review.
ChatGPT
Analyze productivity patterns
Feed the logged data into ChatGPT to identify patterns in successful AI usage, common failure points, and optimization opportunities. Generate insights about which use cases deliver the highest ROI.
Slack
Share actionable insights
Create automated weekly reports in Slack showing top-performing AI use cases, time saved per team member, and recommendations for improving AI workflow efficiency based on the analysis.
Workflow Flow
Step 1
Notion
Log AI interactions with context
Step 2
ChatGPT
Analyze productivity patterns
Step 3
Slack
Share actionable insights
Why This Works
Captures the crucial context Reid Hoffman emphasizes - tracking not just tokens used but business outcomes achieved, enabling smarter AI adoption decisions
Best For
Teams wanting to measure AI productivity beyond just usage metrics
Explore More Recipes by Tool
Comments
No comments yet. Be the first to share your thoughts!