Unverified50% confidenceFactExact time
Agents burn through more Tokens than ordinary chat because executing tasks requires multiple think-act-observe loops, and intermediate results are fed back into the model, causing the context window to expand.
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50%
Confidence
Long-term
Relevance
10/11/2026
First Seen
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Related Claims
UnverifiedPolicy drift refers to an agent gradually deviating from its originally configured behavioral boundaries over the course of multi-turn conversations or complex reasoning chains.74% similarUnverifiedChat-interface interaction is synchronous (you ask, it answers), whereas background autonomous systems are asynchronous, triggered by events with processes flowing automatically.73% similarUnverifiedThe long-session mechanism allows agents to retain full context state while continuing to work.73% similarUnverifiedIn multi-turn tool-calling agentic scenarios, system prompts occupying thousands of tokens compress the space available for intermediate reasoning steps and tool return results, and hitting the token limit causes task failure.73% similarUnverifiedThe multi-step chained working mode of edge agents causes single-inference latency to be amplified across multiple steps.73% similar
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