Finding the Invisible Conflicts in AI Agent Decisions

AI agents don't fail from poor reasoning—they fail when system instructions contain conflicting priorities that models silently resolve without flagging ambiguity. Agent Forensics now tracks context injection and prompt drift to reveal where decision conflicts originate, moving debugging from 'what went wrong' to 'where did ambiguity hide.' This shift matters because invisible instruction conflicts are among the hardest AI reliability problems to catch in production.