Note
May 29, 2026
1 min read
From Chat History to Execution History
By Cristiano Pierry
A short reflection on why prompt history is becoming an execution log for work delegated to AI agents.
Last week I built a small Codex log app for myself, and it has become one of the most useful tools in my AI workflow.
I use it multiple times a day to quickly review every prompt I’ve issued to Codex across projects: what I asked, when I asked it, what project it belonged to, how Codex responded, and what tools were used.
It sounds simple, but that simplicity is exactly the point.
When you use AI heavily, your prompts become a record of your intent, your thinking, your decisions, and your operating rhythm. The chat interface is useful in the moment, but it is not optimized for reviewing your work across days, projects, and threads.
I wish this view existed directly inside Codex.
Not as an advanced power-user feature. As a default part of the product.
The more work we delegate to AI agents, the more important it becomes to have a clean, searchable, reviewable history of what we asked them to do and what they actually did.
Prompt history is not just chat history.
It is becoming an execution log.
I open-sourced the app here: https://github.com/crispierry/codex-log-viewer
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.