Opening — Why this matters now Enterprise AI has entered an awkward phase. On paper, frontier LLMs can reason, plan, call tools, and even complete multi-step tasks. In practice, they quietly break things. Not loudly. Not catastrophically. Just enough to violate a policy, invalidate a downstream record, or trigger a workflow no one notices until audit season. ...
Opening — Why this matters now Agentic AI has entered its teenage years: curious, capable, and dangerously overconfident. As LLM-based agents move from toy demos into deep research—multi-hop reasoning, evidence aggregation, long-horizon decision-making—the industry has discovered an uncomfortable truth. Fixed workflows are too rigid, but letting agents rewrite themselves freely is how you get hallucinations with a superiority complex. ...