Agent5Seven topics. One clear view.
Agent5

The latest AI news at a glance: seven topics, and a short, plain-English read on the stories. Free, no account.

Product
HomeHow it worksFAQAboutHow we fact-checkBlog
News
All newsModels & ReleasesFunding & DealsBenchmarksAgents & ProductsHardware & ComputePolicy & DramaRobotics
More
AdvertisePressPrivacyTerms
© 2026 Agent5
Agent5
Blog
Agent5
Blog
  1. Home›
  2. News›
  3. Benchmarks›
  4. Terminal X's Eval Agent catches 25% more investment deviations
Models & Releases30Funding & Deals18Benchmarks16Agents & Products48Hardware & Compute14Policy & Drama32Robotics13
Benchmarks

Terminal X's Eval Agent catches 25% more investment deviations

OpenAI: Terminal X matches senior investor judgment 88.6% with GPT-6.1

Terminal X’s Eval Agent grades outputs against a 54-criterion rubric, catching 25% more deviances from a fund’s mandate with GPT-6.1 Sol.

Get smart on it

Terminal X is a startup that uses AI agents to encode how investment firms make decisions, capturing the reasoning of senior investors into automated workflows. The company's Eval Agent grades these AI outputs against a 54-criterion rubric to ensure recommendations stay within a fund's mandate, catching about 25 percent more deviations when using GPT-6.1 Sol compared to the next-best model. This matters because investment firms typically lose decision-making expertise when senior investors leave, and Terminal X's system aims to preserve and systematize that judgment as auditable, repeatable processes. One customer reported $2.4 million in annualized savings from automating due diligence and investment workflows using this approach.

Relevant courses

Want to go deeper than the news? Explore live, cohort-based AI courses taught by practitioners.

Browse AI courses on Maven →
Sources
OpenAI ↗
The biggest AI stories, once a day

One short email a day with the stories that matter. Free. Unsubscribe with one click.

Related news
BenchmarksOpen story →

Deepseek V4.1 Flash 1017 beats larger rivals in agentic tasks while once again massively cutting per-task costs

Deepseek has released V4.1-Flash-1017 as an open-weight model that posts better benchmarks, finishes tasks faster, and produces shorter outputs than its predecessor. The company is also opening up its internal search engine through new Search and Fetch APIs at $0.75 per 1,000 calls. API users in tools like Claude Code and Codex get free access for now. The article Deepseek V4.1 Flash 1017 beats larger rivals in agentic tasks while once again massively cutting per-task costs appeared fir

Also reported by SiliconANGLE

BenchmarksOpen story →

Inception says Mercury 3 beats GPT-6 Luna and Claude Haiku 5.5 at up to 8x the speed

Diffusion language model startup Inception AI Inc. today released Mercury 3, its new flagship model. In the company’s own benchmarks, Mercury 3 beat OpenAI Group PBC’s GPT-6 Luna and Anthropic PBC’s Claude Haiku 5.5 on eight of 12 tests at four to eight times their speed. The release takes on the main doubt about Inception’s […] The post Inception says Mercury 3 beats GPT-6 Luna and Claude Haiku 5.5 at up to 8x the speed appeared first on SiliconANGLE.

BenchmarksOpen story →

Four Gemini 4 Argon agents beat Minecraft without any human help

Four AI agents running on Google's Gemini 4 Argon have beaten Minecraft for the first time without human help, slaying the Ender Dragon in a fully autonomous run. With no predefined roles or strategies, they coordinated on their own, wrote 2,783 programs, exchanged 229 chat messages, and died 605 times. The session cost $1,620. The article Four Gemini 4 Argon agents beat Minecraft without any human help appeared first on The Decoder.

BenchmarksOpen story →

Anthropics' Claude cracks a 25-year-old NSA cryptography mystery in under 30 minutes

Anthropic's AI model Claude has solved a 25-year-old cryptography puzzle. The mysterious seeds behind NIST's standard curves for digital signatures were provided by the NSA without explanation, raising long-standing suspicion about built-in backdoors. Claude figured out in under 30 minutes that the seeds came from "lrand48," a simple C random number generator, making deliberate backdoors far less likely. The article Anthropics' Claude cracks a 25-year-old NSA cryptography mystery i

BenchmarksOpen story →

ALTK-Evolve: How learned memory tops the τ²-bench leaderboard on customer service tasks without a frontier model

A system using adaptive memory mechanisms outperformed larger proprietary models on customer service benchmarks, suggesting scale isn't the only path to performance.

BenchmarksOpen story →

Elorian’s first AI model wants to reason with images, not just about them

According to Elorian's evaluations, Glimpse outperforms even GPT-6 Astra on scientific chart reasoning and short-form video captioning, with competitive results on other visual reasoning tasks.