Most AI agent demos optimize for capability. Production buyers pay for control.

Every week I see a new AI agent demo. Book the meeting. Send the email. Refactor the code. Triage the ticket. Trade the stock. Run the company. The demos are getting better. Some of them are genuin...

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Most AI agent demos optimize for capability. Production buyers pay for control.

Source: DEV Community

Every week I see a new AI agent demo. Book the meeting. Send the email. Refactor the code. Triage the ticket. Trade the stock. Run the company. The demos are getting better. Some of them are genuinely impressive. But most of them are optimized for the wrong buyer. They are optimized for the person watching the demo, not for the person who has to run the system after the demo. That second person usually cares about different questions. What can this thing access? What happens when it gets stuck? How do I approve risky actions? What did it actually do? How do I stop it? How do I roll it back? Which secrets can it touch? How do I explain its behavior to my team? That is the real product surface. Not just capability. Control. Capability gets the screenshot. Control gets the budget. I think a lot of the current agent market is repeating a familiar pattern. The first wave proves that the interaction is possible. You show that an LLM can use tools, keep context, and complete a multi-step task

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