Stop hunting for the perfect AI assistant. Build a specialized team instead. Multiple focused agents working together beats one do-everything bot every time.
The story
After three decades building software and eight years working with AI, I’ve landed on something that changes everything: stop trying to find the perfect AI assistant. Build a team instead.
The biggest wins don’t come from one super-powered chatbot doing everything. They come from orchestrating multiple specialized agents, each focused on one slice of the problem.
I break complex projects into chunks – always have. Now I give each chunk its own agent. One researches. Another drafts. A third reviews for quality. This division of labor is faster and catches blind spots a single agent would miss.
The key is prompt engineering. I treat each agent like a junior colleague with a clear brief. “You’re my research analyst. Summarize only recent data. Return five bullet points, each with one cited source.” When outputs flow cleanly to the next agent, the whole chain runs smooth.
I use a “first draft, final say” model. Agents generate initial versions. I keep final judgment and context. That frees me up for strategy while keeping quality aligned with my standards.
Task delegation is where it gets powerful. I hand off repetitive work – summarizing sources, checking facts, formatting code – to specialized agents. That leaves me time for creative synthesis and what I call “vibe coding,” where I flow between tools and weave together solutions neither I nor any single agent could build alone.
The real opportunity isn’t just doing more, faster. It’s amplifying uniquely human skills machines can’t replace: sense-making, ethical judgment, building trust. AI agents are powerful, but the e
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