Part 6/13:

Despite their impressive capabilities, the speaker cautions against overuse. Not every problem benefits from a complex multi-agent architecture. Many real-world use cases can be effectively addressed with simple prompt chaining or single-LM queries combined with retrieval.

Key considerations include:

• Early-stage Prototyping: Start with straightforward API calls; complexity can be added later.

• Cost and Latency: Multi-agent systems tend to be slower and more expensive.

• Control and Predictability: Non-deterministic outputs make debugging and scaling challenging.

• Use Case Fit: Tasks like customer support, content generation, and data retrieval often don’t require full autonomous agents; a single, well-designed prompt with retrieval suffices.