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.

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.