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Enterprise AI context engineering — selecting, organizing, retrieving and maintaining business information an agent needs at decision time — is the discipline that closes the gap where a conventional …

By 2026, AI agents moved from demos to production, introducing runaway costs from tool calls and recursive reasoning. A VentureBeat survey found 79% of enterprises took financial hits from autonomous …

Production AI agent loops require five control layers—tool calling, permissions, verification, context management, and stop rules—to prevent failures like infinite loops, wrong tool selection, context…