buildOne report1 publisher Anthropic's new beta has Claude write the script that coordinates up to 1,000 agents
Anthropic opened dynamic workflows in Claude Managed Agents on 9 October, letting one run spawn up to 1,000 agents, 64 at a time. The only performance evidence offered is Anthropic's own planted-bug test.
Reality
- Evidence30
- Adoption
- Not scored
- Hype gap+40
- Incentives
- Not scored
- Confidence45
buildConfirmed8 publishers SpaceXAI lists Grok 4.7 at $2 and $6 per million tokens against $10 and $50 for GPT-6 Astra and Claude Fable 5.1, and the only per-task figures in the record put a Cursor run at $4.69 against about $9.
Perspective Coverage
8 publishers
- Builder
- Builder 51%
- Operator
- Operator 32%
- Investor
- Investor 17%
Reality
- Evidence60
- Adoption30
- Hype gap+25
- Incentives65
- Confidence58
Microsoft's log-reading CASD method cuts agent prompt tuning to about $1.60 a pass
Microsoft researchers say CASD writes better agent prompts from saved logs for about $1.60 a pass, over 22 times cheaper than iterative tuning. Outside one telecom test its accuracy edge over GEPA is thin, so price and setup carry the case.
Reality
- Evidence45
- Adoption
- Not scored
- Hype gap+30
- Incentives55
- Confidence40
buildOne report1 publisher Paper Office's 92.5% agent pass rate measures its Office libraries and their guidance as one bundle
Paper Instruments says agents on its Paper Office libraries and guidance passed 92.5% of trials across 61 Office tasks, against 80.7% on upstream libraries. The test runs the code and the instructions together, so teams have to check on their own files which one earned the gain.
Reality
- Evidence35
- Adoption
- Not scored
- Hype gap+25
- Incentives65
- Confidence40
buildOne report1 publisher Booting a real server flips 147 of 627 agent patches from pass to fail
NVIDIA's SWE-Serve scores the same 627 patches twice on 19 SGLang tasks, once with the live-serving tests and once without. The pass rate falls from 69.4% to 45.9%, and 242 of the 276 live tests came from SGLang itself.
Reality
- Evidence58
- Adoption30
- Hype gap−10
- Incentives70
- Confidence60
buildOne report1 publisher Strands Harness keeps five subsystems local and routes one call to Bedrock
AWS has open-sourced a preconfigured general-purpose agent on top of its Strands SDK and says it runs 45% cheaper than Claude Code and Codex. The model call defaults to Amazon Bedrock, and Marc Brooker says one line changes that.
Reality
- Evidence50
- Adoption15
- Hype gap+25
- Incentives78
- Confidence45
buildOne report1 publisher A memory agent that keeps the option to stay silent lifts Terminal-Bench 2.0 pass@1 by 8.3 points
An arXiv paper names the failure behavioral state decay and runs a side-car memory agent next to an unmodified action agent, reporting gains of 8.3 and 6.8 points of pass@1 on two long-horizon benchmarks.
Reality
- Evidence52
- Adoption
- Not scored
- Hype gap+18
- Incentives60
- Confidence57
buildOne report1 publisher Atria Dawn's own team rated a third of its finished AI-assisted tasks infeasible without the agent
The 769 task records behind Atria Dawn Preview are process data from the people who built it, and the one-third feasibility figure is their own retrospective judgement about work they had already completed.
Reality
- Evidence38
- Adoption
- Not scored
- Hype gap+45
- Incentives82
- Confidence58
buildConfirmed2 publishers IBM Research's ALTK-Evolve distils an agent's own trajectories into scored guidelines and injects the top five at inference time, and a companion post puts a number on the reliability an average success rate hides.
Reality
- Evidence45
- Adoption20
- Hype gap+15
- Incentives85
- Confidence55
buildConfirmed2 publishers Vals AI's 141-hour Minecraft run ended with OpenAI's newest model farming potatoes for hours after losing its end-game loot and its spawn point in one explosion, and the recovery policy it came away with was a note to self.
Reality
- Evidence45
- Adoption30
- Hype gap+32
- Incentives68
- Confidence55
buildOne report1 publisher Read-only environment probing moves a 40-question agent memory benchmark by 1.2 questions
MemTensor's case for checking agent memory at write time rests on a Microsoft experiment in which read-only environment probing reached 73% against 70% for memory alone, a gap of about one question in 40.
Reality
- Evidence45
- Adoption15
- Hype gap+38
- Incentives82
- Confidence50
buildOne report1 publisher Deep Agents now swaps in apply_patch the moment you name a Codex model
LangChain's new harness profiles set prompts, tool implementations and tool names per model family. The company measures a 10 to 20 point gain on a tau2-bench subset it curated from tasks frontier models have not saturated.
Publishers:langchain.com
Reality
- Evidence45
- Adoption15
- Hype gap+18
- Incentives80
- Confidence55
buildOne report1 publisher Thinkingbox grades 507 agent workflows on the backend state they leave behind
Every task in the benchmark is checked against its required terminal state, so any tool order can pass and any extra side effect fails. Claude Opus 5, the strongest model tested, cleared 66.50% at pass@1.
Reality
- Evidence60
- Adoption18
- Hype gap+12
- Incentives35
- Confidence52
buildOne report1 publisher The flowchart test sorts most agent projects back into ordinary code
Anthropic's December 2024 guidance and three agent benchmarks converge on an awkward result, because the workloads whose steps cannot be enumerated in advance are also the ones where measured agent completion is lowest.
Reality
- Evidence52
- Adoption28
- Hype gap+18
- Incentives35
- Confidence45
Harvey post-trained a 27B open-weight model into the frontier band on its own legal benchmark
The band it joined is one where the best closed models still finish under 10% of tasks end to end at roughly $50 and 20 minutes each, so what post-training buys a law firm is price and hosting rather than capability.
Publishers:harvey.ai
Reality
- Evidence41
- Adoption
- Not scored
- Hype gap+32
- Incentives76
- Confidence46
Splitting a data room across sub-agents beats a standard tool-loop harness on Harvey's benchmark
Harvey and Baseten report rubric pass rates rising from 23.3% to 62.4% across seven models once the data room sits in a Python REPL and sub-agents do the reading, while Claude Code with Opus-5 manages 24.6%.
Publishers:harvey.ai
Reality
- Evidence47
- Adoption17
- Hype gap+18
- Incentives84
- Confidence57
buildOne report1 publisher Post-training agents pick their strategy before they run a single experiment
An empirical study of publicly released PostTrainBench trajectories finds the training strategy is fixed at step one and the whole remaining budget goes on local tweaks, with scaffolding and human hints improving execution and leaving that pattern intact.
Reality
- Evidence58
- Adoption20
- Hype gap+12
- Incentives35
- Confidence55
buildOne report1 publisher Commerce Agent Bench decides pass or fail by reading the mock services after the agent stops
The Accio team's verifier ignores what the agent says it did and inspects the containers it leaves behind. That design is the news; the two-pass open-weight lead Alibaba reports from it sits inside its own harness spread.
Reality
- Evidence44
- Adoption22
- Hype gap+30
- Incentives82
- Confidence52
Salesforce's researchers get better CRM agents by writing the procedure into the prompt
The company's own benchmark keeps every flagship model it tested below 60 percent completion across 2140 CRM task instances, and the fix its researchers report is domain knowledge somebody inside your org has to write down.
Reality
- Evidence52
- Adoption22
- Hype gap−10
- Incentives80
- Confidence55