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Designing Reliable AI Agents With Bounded Context and Tool Guardrails
Autonomous AI agents fail in production mainly because of context drift, infinite execution loops, and poor tool interface design. As tasks grow longer, agents lose track of their original goals and start making invalid API calls or repeating mistakes. When you build a basic wrapper around an LLM, it handles