Descriptions:
How to Guide – Build Your Open Engine:
https://natesnewsletter.substack.com/p/ai-agent-handoffs?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true
Your AI agents don’t talk to each other, so you have become the human glue moving work between Claude, Codex, and ChatGPT. Open Engine is a shared task queue that lets your agents hand off work, carry the sources, and leave a receipt, without you stuck in the middle.
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What’s really happening inside the AI agent coordination problem in 2026?
The common story is that agents go autonomous and take work off your plate. The real bottleneck is the handoff between agents, where the context, the sources, and the review keep falling on you.
In this video, I share the inside scoop on Open Engine, a practical way to get your agents working as one system:
– Why the handoff, not the model, is the real bottleneck
– How a shared queue lets agents pass work without you
– What changes when you move from prompt mode to work mode
– How agents from different tools coordinate without direct integration
The agents are finally capable enough to do the work, and the win now is building the queue that moves it between them before you become the bottleneck.
Chapters:
00:00 How to make your AI agents work as one system
01:06 A friend juggling five AI tools
04:48 Agents are loop managers and you are the hallway
06:32 The fix is a shared queue both people and agents read
08:45 The five components of the Open Engine guide
10:24 The bottleneck is the boundary between agents
12:59 Demo: the Open Engine loop in Linear
14:13 Delegating a task across two different agents
16:20 Prompt mode versus work mode
19:30 The test: can the work leave your chat
20:33 Get the full guide and join the community
Listen to this video as a podcast.
– Spotify: https://open.spotify.com/show/0gkFdjd1wptEKJKLu9LbZ4
– Apple Podcasts: https://podcasts.apple.com/us/podcast/ai-news-strategy-daily-with-nate-b-jones/id1877109372
