Intel / video

Full Workshop: Setting Yourself Up for Success —Jason Liu, OpenAI Codex

Source: youtube.com
Author: AI Engineer
Date: Published Jul 24, 2026

Context

A continuing AI project benefits from a durable record of what it is doing and how completion will be checked. In this workshop on Codex, a speaker from OpenAI describes keeping project in files alongside reusable procedures, plans and work logs.

The workflow makes those records reviewable: the speaker keeps the files in a git repository and runs git diff to see what the model has updated, while a work log provides a manageable account of a long task. Explicit completion checks give the a concrete target to work toward. The files preserve context between runs, and the checks define what counts as progress; their usefulness still depends on whether the recorded facts and completion criteria are correct. This is a personal workflow, not a measured reliability result.

Terms in this piece · Glossary

context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.

Key quotes

“Tony Stark is not texting Jarvis, right? And there's really no future when text input is the thing that matters.”
Jason Liu

“computer use was the first time in a long time I really sort of felt the AGI of being at work”
Jason Liu

“I'm just the AI's assistant to get more context that the AI can't get”
Jason Liu

“it's like onboarding an employee in the in the first you know two three months of onboarding an employee”
Jason Liu

“people should not be afraid of low reasoning. Like X high is not like X high results.”
Jason Liu

Read the source www.youtube.com