Everyone is building agents right now. Real estate firms. Independent insurance brokers. Fortune 500 companies with budgets big enough to hire an army of consultants. Ask around and you'll hear the same story everywhere: "we're building our own agent." And yet almost nobody is asking the obvious question: why does the default approach keep failing? One large, general-purpose agent gets wired up to every tool the business owns. It impresses in the demo. Then it quietly stalls before production. There's a gap between what businesses want and what they're actually getting. They want AI woven into their data, their workflows, their day-to-day operations. What they get instead is one oversized agent trying to be a sales rep, a compliance officer, and a customer support line, all at once. That gap is an architecture problem, not a model problem. Key Takeaways The default "one big agent" pattern breaks down on context bloat, cost, fragility, and portability...
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