Five Tricks That Made My AI Agents Collaborate
I taught my AI agents to doubt themselves, read the room, and break problems into chunks—now they collaborate like a functional team instead of chaotic solo acts.
I taught my AI agents to doubt themselves, read the room, and break problems into chunks—now they collaborate like a functional team instead of chaotic solo acts.
Treating AI like a 10x engineer gets you confident garbage. Treating it like a supervised junior gets you leverage. Here’s the protocol that’s working: tight specs, role separation, brutal feedback loops, and humans owning architecture while agents handle implementation.
Would you let AI agents deploy code at 3 a.m. without you? That question reveals where humans belong in the loop. Here’s my three-part system for deciding what to delegate.
Communication shortcuts feel fast but create hidden costs: vague messages force readers to decode, guess, and follow up. Real efficiency means sending clear, complete thoughts the first time.
LLMs autocomplete text. What if AI learned to simulate worlds, discover causes, and prove theorems instead? Three paradigm shifts worth watching.
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