AI Release 📰 "The agent is dumb" — that's a diagnosis of the instructions, not the model 💡 The author sums up a year of working with an AI agent embedded in a real workflow. Over that time, he stopped explaining failures with the phrase "the model got dumber." He attributes almost everything that looks like stupidity or hallucinations to defects in the instructions. He identifies three typical defects: excessive rules, ambiguous wording, and lack of priorities. Each of these causes the agent to act literally or choose the wrong scenario. The author argues that such cases are fixed by rewriting the instructions, not by switching models. This matters for anyone using agents in automation and production. Instead of waiting for updates, you should first analyze the system prompt. The practical takeaway: an agent's performance quality is determined by the instructions no less than by the model version. Teams need to invest in testing and refining prompts. Without this, even a strong model will exhibit "stupidity." The author's experience shows that instruction discipline matters more than chasing new models. Ultimately, debugging AI systems should start with the instructions, not with suspicions of model degradation. 4 views 12:17
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