Most AI Agents Are Bullshit: Stop Adding Tools Before Defining the Job
hamostaf04 · x · 2026-08-09
The article argues that many AI agent projects are fundamentally flawed: teams build agents before clearly defining the business problem, attempting to force reliability by piling on prompts, tools, and multi-agent frameworks.
The author emphasizes that an agent's true value lies in handling dynamic paths that cannot be mapped in advance (using the ReAct loop to observe and adjust). If a task can be resolved with a single, well-designed model call, doing so is far better than forcing an unnecessary agent architecture.
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