Agents Are Not Enough
- Published
- Source
- arXiv
- Paper number
- 002
- Field
- Agents
- arXiv ID
- 2412.16241
Key points
- The core claim is that stronger generative models alone are not enough to make agents effective or sustainable in real user workflows.
- From a historical perspective, earlier agent systems stalled or failed because autonomy, context, trust, coordination, and user representation were harder than the agent metaphor suggests.
- Structurally, the proposed ecosystem separates executing agents, user-representing Sims, and user-facing assistants instead of forcing a single model component to handle everything.
- In industry terms, useful agent systems need not only autonomous action loops but also persistent user context, workflow coordination, and human-facing control interfaces.
Paper links
External research summaries. These are not HDATF publications or measured product results.