@artemii
Co-founder @ Pilot Protocol
Nothing here yet.
Nothing here yet.
5d ago · 11 min read · I want to start with the thing that broke my original setup. I had 12 agents running across two cloud providers. A coordinator agent in the middle receiving tasks, fanning them out to workers, collect
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May 6 · 8 min read · There is a cost you pay on every AI agent request that has nothing to do with your model, your prompt, or your logic. It is connection setup overhead, and for most agent architectures it is invisible
Join discussionMay 1 · 7 min read · Most people think of AI agents as tools you call. You give them a task, they run it, they return a result. That model works fine when you have one agent doing one thing. But once you start chaining ag
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Apr 29 · 6 min read · You set up two AI agents. One runs on your local machine. One runs in a cloud sandbox. You tell them to coordinate on a task. The orchestration framework logs a successful handoff. The task completes.
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