Framework
A 2022 prompting framework that interleaves reasoning steps with actions, letting language models plan, act, and observe results in a repeating loop.
The institute says an average pass rate scores a refusal and an inability the same way, so it read almost 6,400 evaluation transcripts to see which was happening. Pass rates stay in its pre-deployment reports.
Reality
tau-bench scores agents on the database state they leave behind and then reruns each task eight times, and the consistency figure that falls out is a better launch gate than the single-trial accuracy most teams quote.
Reality
AgentArch sweeps orchestration, ReAct versus function calling, memory scope and a thinking tool across 18 setups on frontier models. Because the best cell moves with the model, the grid is what you reuse and the ceiling is what you budget for.
Reality
A dev.to post puts the standard-versus-agentic line at when the retrieval decision gets made, and the interesting part is what a fixed top-k pipeline gives up the moment a planner starts writing plans per question.
Reality
latent.space argues models and harnesses improved together, and that models keep swallowing the harness. If so, most scaffolding you write is scheduled for deletion. Permissions are not.
Reality