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.
The article demonstrates how Doubao Work's Plan Mode aligns research strategy via editable markdown plans, and Goal Mode executes with parallel agents that auto-validate against acceptance criteria, creating a recursive self-improvement loop for deep research tasks like evaluating Jev's technical positioning.
Deep dive into Moonshot AI's Kimi Work desktop agent: 24/7 Goal-mode execution, browser automation via logged-in sessions, 300-agent parallel swarms, native financial/academic data integration, and hard limits — 62 tokens/sec, 51% hallucination rate, 50-round memory decay, and a 48-hour compute crunch that halted new subscriptions.
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.
ZCode is positioned as the official development environment for GLM‑5.2, offering a desktop AI programming workspace that integrates model connection, task management, Git tracking, remote control, and a Goal mode to streamline long‑running coding tasks across macOS, Windows, and Linux.
Claude Code now offers powerful automation tools—including the /goal command for condition‑driven loops, customizable Subagents for isolated tasks, JavaScript‑based Dynamic Workflows that orchestrate hundreds of agents, and experimental Agent Teams for multi‑session collaboration—allowing developers to streamline complex coding projects, run large‑scale analyses, and keep the main conversation context clean.
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.
OpenAI’s latest Codex upgrade adds Appshots for double‑Command screen reading, a 24/7 “Goal” mode for long‑running tasks, locked‑Mac remote control, and a ChatGPT‑for‑PowerPoint plugin that auto‑generates editable slides, signaling a shift from a coding assistant to a full‑stack AI coworker.
OpenAI’s latest Codex release introduces Appshots that read hidden screen text, a /goal mode for autonomous long‑term tasks, locked‑screen remote operation, a ChatGPT‑for‑PowerPoint plugin, and shows rapid user growth, signalling a shift from a coding assistant to a full‑stack AI teammate.
