{"body":"A situation where an agent works for days has already become normal. But honestly, it has not affected efficiency much, because far from every task is suitable for quality work that continues for days.\n\nThe problem is exactly in setting and accepting the task. This is where everything often falls apart, because we rarely know exactly what the result should be and how exactly to measure it.\n\nOne wise thought comes to mind:\n\nIf you measure it, you control it\n\nAnd its opposite:\n\nEverything you cannot measure, you will not be able to control\n\nTherefore, the management of AI agents and the efficiency of this work can often be assessed by your ability to formulate clear goals with a measurable result.\n\nMy experience shows that even the smartest AI will improve nothing when we rely only on a new model such as SOL, Fable and others.","content_language":"en","day_counter":{"label":"Day 341","number":341,"start_date":"2025-09-11"},"id":"2026-08-17-how-to-measure-the-work-of-ai-agents","project_date":"2026-08-17","published_at":"2026-08-17T13:49:36+00:00","retrospective":false,"schema_version":"crash_brief_public_blog_post_v0_1","slug":"how-to-measure-the-work-of-ai-agents","source_language":"ru","source_types":["telegram"],"status":"published","summary":"Long autonomous runs depend on clear task definition, measurable results and an exact acceptance process.","title":"How to Measure the Work of AI Agents","topic":"AI infrastructure","type":"founder_post","updated_at":"2026-08-17T13:49:36+00:00","version":1}