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What's really happening when every AI tool becomes useful, but none of them know how to pass work to each other?
The common story is that agents will become autonomous and take work off your plate - but the reality is that the bottleneck moves to handoffs, state, receipts, and review.
In this video, I share the inside scoop on Open Engine: a practical way to make Claude, Codex, ChatGPT, OpenClaw, Hermes, and other agents act less like isolated subscriptions and more like a system you can operate.
Why the human becomes the hallway when every loop lives in a separate tool
How a ticket or queue can carry work better than a chat thread
What changes when a prompt asks for an answer but a ticket asks for a result
Where agent handoffs need receipts, source material, stop points, and review
How Open Engine can work for teams, households, and real multi-agent workflows
This matters for builders, operators, team leads, and anyone already using multiple AI tools. The next productivity jump is not just better models. It is better work movement: clear ownership, durable context, visible status, and a place where humans can review, accept, and build on what agents did.
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