Project Level Analytics Summary

I wish GPT/Codex gave me a project-level analytics summary. Not rate limits. Not token usage.

Something more like:

How many prompts did I actually write to create this thing?
How many separate threads did I start?
How many times did I have to course-correct?
Which parts took the most back-and-forth?
Where did the model nail it, and where did I have to keep pushing?

A hand-drawn question dashboard for project-level analytics in AI coding sessions. — Project analytics should help reveal prompts, threads, corrections, and strong model moments.

I was working on a project all day and realized I now have hundreds of threads. But that number does not really tell the story, because each thread has multiple prompts, fixes, refinements, and “no, that’s not what I meant” moments.

I would love to see a recap of the actual collaboration.

This writing reflects my personal perspectives on product management, AI, and content discovery. It does not represent the official position of my employer or any affiliated organization.

I wish GPT/Codex gave me a project-level analytics summary. Not rate limits. Not token usage.

Something more like:

How many prompts did I actually write to create this thing?
How many separate threads did I start?
How many times did I have to course-correct?
Which parts took the most back-and-forth?
Where did the model nail it, and where did I have to keep pushing?

I would love to see a recap of the actual collaboration.

This writing reflects my personal perspectives on product management, AI, and content discovery. It does not represent the official position of my employer or any affiliated organization.