Codex Workshop: Memory, Skills and Long-Running Workflows

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    Video summary

    Jason Liu presents his personal approach to using Codex as a general work assistant. The workshop connects voice input, project notes, reusable skills and computer-use tools with practical examples of research, triage and artifact creation. His demonstrations and productivity reports describe his own setup rather than guaranteed results.

    The later sections organize work into persistent threads and monitoring loops, with explicit goals, progress checks and stopping conditions. Jason Liu explains how project-level instructions and a shared repository can preserve context, while acknowledging that some experimental bookkeeping is costly and may not be useful to everyone.

    The question-and-answer sections address permissions, security boundaries, memory behavior and reasoning effort. Jason Liu cautions against assuming that the highest reasoning setting is always appropriate and shows imperfect outputs that still need review. Brief audience contributions are not treated as additional principal speakers.

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    Jason Liu against a black background beside the blue-and-white headline “LONG-RUNNING CODEX”. Framed in blue with WWW.ARTIFICIAL-INTELLIGENCE.VIDEO, 24 July 2026 and duration 1h 15m.

    Jason Liu shows how memory, skills and persistent threads can support work beyond coding, while emphasizing clear goals, verification and proportionate reasoning effort.