When 'Self-Starting' Agents Still Need Babysitters
In controlled trials, AI agents repeatedly missed deadlines, misread briefs, and hallucinated data—even with plug-ins and memory modules.
The key insights
- LLM-based autonomy collapses under real-world ambiguity.
- Near-term progress depends on human-in-the-loop orchestration, not replacement.
- Recursive verification and context retention remain unsolved challenges.
For all the talk of 'AI employees,' these systems still need human project managers—and plenty of patience.