One thing that really stood out to me is how the article focuses on what happens after the demo works. Automated evals, rate limits, timeouts, and proper error handling are easy to overlook, but they’re what make an AI agent dependable in production. We’ve found the same with Oglas AI building the workflow around the agent is just as important as the model itself.
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One thing that really stood out to me is how the article focuses on what happens after the demo works. Automated evals, rate limits, timeouts, and proper error handling are easy to overlook, but they’re what make an AI agent dependable in production. We’ve found the same with Oglas AI building the workflow around the agent is just as important as the model itself.