๐๐ผ๐ ๐๐ผ ๐๐ต๐ผ๐ผ๐๐ฒ ๐ฌ๐ผ๐๐ฟ ๐๐ ๐๐ฟ๐ฐ๐ต๐ถ๐๐ฒ๐ฐ๐๐๐ฟ๐ฒ
Many teams build AI agents too fast. They give one agent every tool. It works in demos. It fails in production. It becomes slow. It costs too much. It gets stuck in loops.
The model did not fail. The architecture failed. Flexibility is expensive. You pay for it in tokens and latency.
Use the lowest rung of the ladder for your task.
- Single LLM call: One input, one output.
- Predefined workflow: You design the fixed path.
- Hybrid: A workflow with one dynamic decision.
- Single agent: The model chooses the path at runtime.
- Multi-agent: Specialized agents coordinate.
The decision depends on one question. Who decides the next step?
If you decide at design time, use a workflow. If the model decides at runtime, use an agent.
Watch for these red flags in your system.
- The agent runs past the correct answer.
- Multi-agent systems only route messages.
- No path exists to a human expert.
- The prompt contains the whole sequence of steps.
Start simple. Use a single call or a workflow. These solve most production problems. Use agency only when uncertainty earns it.
Optional learning community: https://t.me/GyaanSetuAi