AI agent talk is shifting from model choice to system design
AI discussion is moving from “which is best” to “how can several AIs work together.” are becoming harder to judge by model quality alone. Building them now involves memory, planning, tool use, events, , and . The main challenge is starting to look less like picking one model and more like designing a reliable system made of many parts.
Key points
- The focus is shifting from choosing the best to designing AI teamwork.
- Agent building now depends on memory, planning, tools, , and .
- may matter more than raw model choice for practical agents.
- Reducing tokens and cost depends on managing context and tool use, not only changing models.