Jason Liu, author of the 13k-star Instructor library and new Codex team member, shares his 'Codex-maxxing' workflow: long-lived threads, voice-driven tasks, Heartbeats scheduled automation, @computer GUI control, verification-gated loops, and local Obsidian memory vaults — enabling Codex to run unattended for hours or days.
OpenAI Codex team member Jason Liu shares his advanced workflow turning Codex into a long-running autonomous agent using persistent threads, voice input, Heartbeats scheduling, @computer UI automation, local Obsidian memory, and verification loops for tasks like Slack triage, Amazon refunds, and code migration.
OpenAI Codex team member Jason Liu shares his production workflow: persistent cross-month threads, voice-driven tasks, Heartbeats scheduled automation, Goal mode for self-directed execution, test-based verification loops, and local Obsidian vault memory — turning Codex from a chat tool into a continuous autonomous developer.
OpenAI Codex team member Jason Liu shares his production workflow for turning Codex into a persistent, self-driving agent system using cross-month threads, voice steering, Heartbeats scheduling, @computer UI automation, Goal mode, and an Obsidian-backed local memory vault — with concrete examples like auto-refund monitoring and Slack-driven animation rendering.
OpenAI Codex team member Jason Liu shares his 'Codex-maxxing' system: persistent cross-month threads, voice-driven tasks, Heartbeats scheduled automation, @computer UI control, test-verified completion, local Obsidian memory, and new Goal mode for autonomous multi-day workflows.
Jason Liu, the creator of the 13k‑star Instructor library and new Codex team member, reveals how to turn Codex into a persistent, autonomous agent using long‑living threads, Heartbeats + @computer, Goal mode, local memory storage, and validation loops for continuous work.
