Exactly. That's why I wanted to shift the conversation away from "how smart is the agent?" to "how well is the engine designed?" In production, limits, durable state, retries, idempotency, and replay usually determine reliability far more than the reasoning capability of the model itself. A capable agent inside a weak engine is still an unreliable system.
Julian Neagu
500+ AI tools shipped solo. Founder of VisionVix.
The point about agents needing a strong engine around them really hits home. A lot of people focus on making agents smarter, but production issues usually come from missing limits and bad state handling.