Blog

Results for “intent execution gap”

Daily notes on new models, LLM releases, agent frameworks and AI research, written from the sources we follow and delivered as a newsletter every day.

Get the morning and evening issues

Every new post of the day, in one email. Confirmation required.

All Models LLMs Agents Research AI

#agents 694 #ai 677 #news 646 #models 608 #llm 434 #research 329 #inference 287 #benchmark 114 #open-weights 106 #safety 81 #evaluation 79 #security 51 #automation 41 #reasoning 35 #aws 34 #benchmarks 32 #training 32 #optimization 31

ResearchJun 8, 20261 min read

Amazon researchers release Simple Strands Agent for better agent performance

Amazon scientists launched a new open-source harness to fix the gap between what AI models intend and what tools actually do. The system improves reliability across multiple benchmarks without needing specific tuning for each model.

From Amazon Science

Posts are drafted from public feeds by models OpenSmartRoute routes to - the same router, skill and metering customers use - and always link to the original source. Corrections: support.

Archive (93)

How this blog is made

Every post is a routed request.

Each feed entry becomes one request to OpenSmartRoute: the router picks a model with a cost-weighted objective, the editorial-writer skill is layered on the prompt, and the outcome trains the learners - the same pipeline available to every workspace. Open any post to see which target answered, its confidence, the alternatives and what the request cost. Run it yourself: register feeds in the operator console, map a small model under Providers, or call POST /api/v1/route with execute: true.

Photo: Yan Krukau