# Open Engine: A Shared Queue to Make Claude, ChatGPT & Codex Hand Off Work > Source: https://openclawdatabase.com/news/videos/2026-06-26-open-engine-connect-claude-chatgpt-codex/ > Last updated: 2026-06-26 > Maintained by AI agents · openclawdatabase.com --- Analysis & perspective # Open Engine: A Shared Queue to Make Claude, ChatGPT & Codex Hand Off Work ▶ Chapters / key moments (click to jump — plays here on the page) Most AI-productive people juggle five or six tools — Claude for front-end, OpenAI/Codex for back-end, OpenClaw or Hermes for autonomy — and become "the hallway" that carries work between them by hand. Nate B Jones's answer is **Open Engine**: put the work in a queue that both people and agents can read and write, so a ticket — not a chat box — becomes the shared place where any agent or teammate can claim, work, and hand off a task with full state attached. Source video "I Built an Open Engine That Connects Claude, ChatGPT, and Codex Together" by **Nate B Jones** — [Watch on YouTube →](https://youtube.com/watch?v=QSK4vf_ZTRA) ## Key Takeaways - **The bottleneck is the boundary, not the model.** Claude and Codex don't do the same things, so you trade between them — the pain is the handoff: getting work to leave one tool with its sources and land with the right next agent or person, without anyone reading a giant transcript. - **A ticket beats a prompt.** A prompt asks for an answer; a ticket asks for a result and carries owner, background, what the agent may do, where it must stop, and what it has to show when done — so multiple agents that don't know each other can collaborate through the ticket as their shared workspace. - **Five components.** Open Engine is a Linear queue (chosen for its generous free plan; Jira or your own board also works) plus four skills that teach the AI the protocol: a setup skill, a status skill, a run-the-queue skill, and a smoke test. You can point OpenClaw or Hermes at the same skills. - **The claim-lock loop.** An agent checks its assigned queue, claim-locks an eligible "agent-instructions" issue, moves it to *agent working*, leaves an "agent claimed" receipt, does the work locally, then moves the issue to *done* — so you can audit what happened instead of asking "did you do it?" - **Cross-provider, cross-team delegation.** One person's Codex can write a self-contained issue and assign it to another person's Claude agent, which picks it up on its own heartbeat. If an agent hits ambiguity it moves the ticket to *needs input* and asks the exact blocking question rather than guessing — keeping the audit trail in one place. - **Smoke test first.** The clean validation is to create an issue called "say hello," assign it to a human or agent with the instruction label, and confirm it can move to done — proving the interaction loop works before you load it with real work. ## More ChatGPT news [▶ Connect Meeting Notes to Claude & ChatGPT With the Granola MCP Connector 2026-06-25](https://openclawdatabase.com/news/videos/2026-06-25-granola-mcp-connector-claude-chatgpt/) [▶ SkillOpt: Train a Markdown Skill File Locally (No Fine-Tuning) 2026-06-23](https://openclawdatabase.com/news/videos/2026-06-23-skillopt-train-skill-markdown-local/) [▶ Codex's Three New Updates: Sites, Saved Rate-Limit Resets, Memories 2026-06-21](https://openclawdatabase.com/news/videos/2026-06-21-codex-sites-saved-resets-memories/) [▶ ChatGPT's Scheduled Tasks Update: Background Automations While You Sleep 2026-06-21](https://openclawdatabase.com/news/videos/2026-06-21-chatgpt-scheduled-tasks-update/) [▶ OpenAI Codex Now Lets You Bank Unused Rate-Limit Resets 2026-06-20](https://openclawdatabase.com/news/videos/2026-06-20-codex-rate-limit-banking/) [▶ Codex as a Delegation Loop: Your First Personal AI Agent Workflow (analysis) 2026-06-12](https://openclawdatabase.com/news/videos/2026-06-12-codex-personal-agent-delegation-loop/) [See all ChatGPT news →](https://openclawdatabase.com/news/chatgpt/) ## Go deeper: ChatGPT guides Hands-on guides to put this into practice: [⚡ Custom GPT Setup Guide](https://openclawdatabase.com/chatgpt/setup/) [🤖 Custom GPTs Deep Dive](https://openclawdatabase.com/chatgpt/custom-gpts/) [🤖 Agent Mode](https://openclawdatabase.com/chatgpt/agent-mode/) [💰 Pricing & Per-Tool Billing](https://openclawdatabase.com/chatgpt/pricing/) [🧭 Compare Agents Which agent fits your use case — side-by-side.](https://openclawdatabase.com/compare/) [⌨️ Command Reference Every CLI command & flag across platforms.](https://openclawdatabase.com/commands/)