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As AI agents become central to software workflows, a critical issue often goes unnoticed: instruction compliance. Do agents actually follow the rules, constraints, and behavioural guidelines defined in system prompts and agent workflows? This session argues that the industry has largely framed this challenge as a context engineering problem, when in reality it is a problem of measurement and compliance.
Drawing on research published between 2025 and 2026, the talk presents a grounded analysis of how instruction drift occurs and why current practices fail to detect it. It introduces a practical framework that helps engineering teams evaluate whether agents are following defined constraints and how to improve reliability in production systems.
What You Will Learn
Why instruction compliance is a core reliability challenge for AI agents
How instruction drift occurs even when prompts and workflows appear well defined
A practical framework for measuring and improving compliance in agent systems
Who Should Attend
AI and machine learning engineers
Software developers building agent-based systems
Platform and infrastructure engineers
Software architects
Engineering leaders responsible for AI reliability and governance
