Field notes on where agents run, what gets them through the gate, and how to keep them accountable in production.
Six archetypes by company size and footprint, concrete recommendations, the decision matrix by workload, and the three-sentence rule worth tattooing on your AI strategy.
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For RPA, internal automation, and any regulated workload, cloud isn't a tradeoff, it's structurally impossible. The systems have no public endpoint, and they shouldn't.
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Convenience decides whether your agent survives month three. IP reputation decides whether your outbound actually lands, and it's the lens nobody benchmarks.
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Security is what executives ask about first. Performance is what decides whether the agent feels usable on day two. Both have honest tradeoffs.
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"Local vs. cloud" hides two questions in one word. Market data, a three-layer anatomy, and the definitional detour you actually need.
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Half the "AI agent" market in 2026 is mislabeled. What makes something an agent vs. a one-shot tool, and why narrow agents almost always beat one giant brain.
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