Addressing failures of smaller models in complex multi-step tool composition, swyx outlined a practical design: using large models offline to compile frequent atomic tool sequences into deterministic compound tools—acting as agent muscle memory to eliminate fragile re-planning.
Key Takeaways
- ✓Small models stumble on lengthy primitive tool chains; parameter scaling is not the only remedy.
- ✓Compile recurring tool sequences offline with frontier models into robust single-action compound tools.
- ✓Embeds agent muscle memory to freeze multi-step decision logic and prevent compounding execution errors.