Start simple, then add memory and loops as your agent problem becomes clear
bendee983 · x · 2026-07-27
A practical agent-building take: start simple, then add complexity only when the problem shape is clearer.
- Begin with the most accessible levers first: prompts, context, and documents.
- Add memory, skills, and loops gradually as edge cases become obvious.
- Replace fragile prompt logic with deterministic constraints and rules where repeatability matters.
- As you scale, use model routing to cut cost and latency.
- The core message is to avoid overengineering early agent setups and to let the system structure emerge from the problem.
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