AI agents that earn their place in an operation
The difference between a demo and a dependable agent is almost never the model. It's the evaluation set, the guardrails and the escape hatch.
Every business has now seen an impressive AI demo. Far fewer have an AI system doing real work on a Tuesday afternoon without supervision. The gap between the two is rarely about model choice.
It comes down to three unglamorous things. First, an evaluation set drawn from your own historical work, so quality is a number rather than an impression. Second, guardrails: the specific moments — pricing, policy, legal, safety — where the system must follow deterministic rules instead of generating language. Third, a clean escape hatch to a human, with enough context attached that the handover doesn't restart the conversation.
Build those three and the model becomes a replaceable component. Skip them and you have a demo that quietly erodes trust the first week it meets an edge case.
Working through something similar? We'll tell you honestly whether it's worth building.
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