They fail because one agent was asked to hold too much at once: routing, planning, tool use, memory, and error recovery all inside a single growing prompt. By 2026, this failure mode shows up in nearly every engineering retro, and the fix is usually the same.
They fail because one agent was asked to hold too much at once: routing, planning, tool use, memory, and error recovery all inside a single growing prompt.
Yet a figure cited across IDC and Forrester research puts pilot-to-production failure near 88%, and the root causes cluster on orchestration, data access, and evaluation gaps, not model quality.
By 2026, this failure mode shows up in nearly every engineering retro, and the fix is usually the same.
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They fail because one agent was asked to hold too much at once: routing, planning, tool use, memory, and error recovery all inside a single growing prompt. By 2026, this failure mode shows up in nearly every engineering retro, and the fix is usually the same. Yet a figure cited across IDC and Forrester research puts pilot-to-production failure near 88%, and the root causes cluster on orchestration, data access, and evaluation gaps, not model quality.
Most production agent projects do not fail because the model is weak.
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