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Bridging intent and execution in agentic systems

Source
amazon.science
Date
Why it matters

performance is increasingly bottlenecked by the , not the model: mismatches between intended and executed edits cost points. Closing that gap alone reached state of the art on SWE-Verified and Terminal-Bench2 without task tuning.

Terms in this piece · Glossary
  • AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
  • agent harness — The scaffolding around a model that turns it into a working agent — the loop, the tools it can call, and the rules for when to stop.
  • benchmark — A standard public test set for comparing AI models — the shared scoreboards behind every "model X beats model Y" claim.
Read the source www.amazon.science
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