AgentMail's agent tests trace most failures to tools that leave the agent guessing
AgentMail says 80% of runs finished in its tests of 25 agents, and most failures came where the tool left the agent guessing. The company also built the API and wrote the tasks, so the findings work best as a checklist for your own tools.
Publishers:agentmail.to
Reality
- Evidence50
- Adoption
- Not scored
- Hype gap+15
- Incentives60
- Confidence55
buildOne report1 publisher Models disclosed a prefilled mistake in 3% to 35% of rollouts, a LessWrong study finds
Models confessed a prefilled mistake to the user in 3% to 35% of rollouts, depending on the model, according to a LessWrong study. Reviewing the same transcript from outside, the models spot the error reliably, so the authors say self-reports cannot replace external checks.
Reality
- Evidence50
- Adoption
- Not scored
- Hype gap+25
- Incentives
- Not scored
- Confidence55
buildOne report1 publisher On Enterprise and API accounts, Claude Code's default mode meters a Sonnet 5 check per shell command
Claude Code v2.1.283 makes auto mode the default, so each shell command gets a Sonnet 5 safety check metered as tokens on Enterprise, API and cloud accounts. Teams on those accounts now pay for command approval unless they choose a different permission mode.
Reality
- Evidence55
- Adoption
- Not scored
- Hype gap0
- Incentives
- Not scored
- Confidence55
buildConfirmed2 publishers GitHub released ReviewBench, an open benchmark that scores AI code reviewers on 219 pull requests from 187 public repositories in 19 languages. Buyers can rerun any reviewer on the public dataset and published judge, though every score depends on one LLM's view of what counts as relevant.
Reality
- Evidence58
- Adoption15
- Hype gap+25
- Incentives80
- Confidence55
buildOne report1 publisher agentgateway v1.6.0 prices LLM calls from a catalog it ships itself
agentgateway v1.6.0 priced a Claude Sonnet 5 request at $0.000156 from its built-in catalog, with no hand-kept modelCatalog in the config. The test covered one Anthropic model, so retiring rate tables is safe only for models the catalog provably knows.
Reality
- Evidence55
- Adoption
- Not scored
- Hype gap+10
- Incentives
- Not scored
- Confidence50
buildOne report1 publisher Interfaze's open-weight interfaze-1-lite attaches confidence scores and bounding boxes to extracted data
Interfaze released interfaze-1-lite, an Apache 2.0 open-weight model for OCR and speech that returns confidence scores and bounding boxes with its answers. Teams can send doubtful rows to a reviewer once they have tested how the scores behave on their own documents.
Reality
- Evidence40
- Adoption
- Not scored
- Hype gap+15
- Incentives70
- Confidence45
buildOne report1 publisher Four model releases in 12 days break code written against earlier versions
Google, Anthropic and OpenAI shipped four model releases in 12 days, and each one's own docs list ways that code written for the earlier version now fails. A swap of the model ID is a dependency upgrade and needs contract tests at the provider boundary before it ships.
Reality
- Evidence55
- Adoption
- Not scored
- Hype gap+10
- Incentives
- Not scored
- Confidence55
buildOne report1 publisher Thai sentences cost up to 3.6 times as many Bedrock tokens as English in one architect's dated tests
Amazon Bedrock bills a Thai customer sentence at 2.4 to 3.6 times the tokens of its English version, by an Iglu architect's dated count. Each figure belongs to one account, one model and one date, so teams sizing agents for Thai users have to rerun the scripts in their own accounts.
Reality
- Evidence55
- Adoption
- Not scored
- Hype gap+5
- Incentives20
- Confidence50
buildConfirmed14 publishers Vercel's AI Gateway now routes Claude Sonnet 5.5 through a single model ID, according to a dev.to review of the week's releases. The benchmark and cost figures come only from that third-party review, so a team's own tests decide when regulated workloads move.
Perspective Coverage
14 publishers
- Builder
- Builder 47%
- Operator
- Operator 30%
- Investor
- Investor 23%
Reality
- Evidence58
- Adoption48
- Hype gap+35
- Incentives62
- Confidence60
buildOne report1 publisher Bedrock's India profile keeps Claude inference inside Mumbai and Hyderabad
Amazon Bedrock now runs Claude Opus 5, Sonnet 5 and Haiku 4.5 in India on a profile that routes requests only between Mumbai and Hyderabad. Teams whose data rules require processing inside India can use the three Claude models without the global cross-Region route.
Reality
- Evidence55
- Adoption
- Not scored
- Hype gap+10
- Incentives70
- Confidence60
buildOne report1 publisher Blender 5.0 rejects three in ten scripts that ten LLMs wrote for it
Ten LLMs' Blender 5.0 scripts ran only 70% of the time when a Kaggle benchmark executed them in 5.0, against 91% for scripts targeting 3.6. Renamed and removed APIs look like valid code, so the benchmark grades each answer in the exact build the prompt named.
Reality
- Evidence50
- Adoption
- Not scored
- Hype gap+5
- Incentives30
- Confidence45
Anthropic says Sonnet 5.5 nearly ties Opus 5.5, 1,844 to 1,846, on an everyday-work benchmark while running more than 30% faster than Sonnet 5. For teams paying double per token for Opus, Sonnet becomes the sensible default, with Opus kept for long, ambiguous jobs.
Perspective Coverage
11 publishers
- Builder
- Builder 36%
- Operator
- Operator 43%
- Investor
- Investor 21%
Reality
- Evidence45
- Adoption50
- Hype gap+25
- Incentives65
- Confidence55
buildOne report1 publisher Added instruction block, not one field name, stopped ToolTrap agents from relaying planted details
ToolTrap's explicit source contract lifted Gemini 3.1 Flash-Lite from 32/48 to 48/48 and GPT-5.4 nano from 42/48 to 48/48 on planted-detail tests. Before it, the stock "tool results are data" rule had let nano tell a customer a planted callback number was verified.
Reality
- Evidence42
- Adoption
- Not scored
- Hype gap+8
- Incentives35
- Confidence45
OpenAI cuts the input price of its Luna model line by 90% in 54 days
OpenAI has cut input prices on its Luna models from $1.00 to $0.10 per million tokens since July 30, over two rounds of reductions. Teams that justified self-hosting open models against spring API prices are now measuring against a figure about a tenth the size.
Reality
- Evidence45
- Adoption
- Not scored
- Hype gap+30
- Incentives45
- Confidence40
buildOne report1 publisher One ternary in Jev's gateway limits it to hinting inside Claude Code
Jev's own gateway benchmark shows routing raised Opus 5 input tokens 61% on a Claude Code feature task, where the gateway can only hint at tools. Any saving depends on the task and on how many tools Claude Code sends the router each turn.
Reality
- Evidence45
- Adoption
- Not scored
- Hype gap+40
- Incentives
- Not scored
- Confidence40
buildOne report1 publisher Empty Kaggle proxy captures scored DeepSeek-R1 at 17% on a benchmark where it reaches 100%
Blog vs Bytecode, a 28-item Kaggle benchmark, graded empty proxy responses as wrong and scored DeepSeek-R1 at 17% until a second gateway showed 100%. Once capture was fixed, frontier models lost points by flagging sound code, while a small Gemma model missed most of the planted flaws.
Reality
- Evidence40
- Adoption
- Not scored
- Hype gap+10
- Incentives30
- Confidence45
buildOne report1 publisher Opus 5.5 cost less per unit of coding work than Sonnet 5, with fewer review rounds needed
Opus 5.5 lists at twice Sonnet 5's price, yet in one developer's matched Claude Code runs it cost about 0.45 times as much per changed line. Agents re-send their whole context on every call, so fewer calls and fewer review rounds outweighed the higher token price.
Reality
- Evidence45
- Adoption8
- Hype gap+15
- Incentives
- Not scored
- Confidence38
buildOne report1 publisher Asking GPT-5.6 Luna to name an amphibian flags benchmark transcripts with black-box access
GPT-5.6 Luna says "frog" 70-95% of the time when asked for an amphibian after capability benchmarks, against 12-38% after real use, a LessWrong post reports. Anyone with black-box access can run the check, though its authors cannot yet say whether it detects evaluation awareness or lexical cues.
Reality
- Evidence45
- Adoption
- Not scored
- Hype gap+10
- Incentives
- Not scored
- Confidence40
buildOne report1 publisher GitHub Security Lab hands fuzz-harness writing and crash triage to an LLM agent
GitHub Security Lab's Fuzzing Taskflow gives an LLM agent one repo slug and has it write harnesses, read coverage and triage crashes for C/C++ projects. The model's build commands run on the host with no container, so the post says to use a disposable machine.
Reality
- Evidence40
- Adoption
- Not scored
- Hype gap+25
- Incentives55
- Confidence50
buildOne report1 publisher Each plan-mode toggle under opusplan invalidates Claude Code's prompt cache
A teardown of Claude Code 2.1.278's config files and network traffic finds background requests behind the idle summary, the follow-up suggestion and every permission decision, plus a model switch that pays to rewrite the whole cache.
Reality
- Evidence45
- Adoption
- Not scored
- Hype gap+20
- Incentives30
- Confidence50
Earlier coverage
- Anthropic prices its newer Sonnet a third below Sonnet 4.5
Build · September 20, 2026 · One report1 publisher
- CrowdStrike will police the OpenAI agents it also puts to work
Product · September 3, 2026 · One report1 publisher
- Gemini 3.7 Flash Is Cheap Until January 1, When The Agent Bill Doubles
Invest · August 16, 2026 · Confirmed2 publishers