NVIDIANVIDIA BioNeMo Agent Toolkit Brings Accelerated AI to Life Sciences Researchers in Claude ScienceNVIDIAInto the Omniverse: Three Workflows for Improving Vision AI Agent Accuracy With Synthetic Data and Fine-TuningAnthropicClaude Science, an AI workbench for scientists, is now availableMicrosoftThe 2026 Agent Confidence Index: Where 300 builders see real momentumGoogleAsk an AI expert: What exactly is the full stack?NVIDIAOpen Models, Closed Environments: Palantir Brings Secure AI to US Agencies With NVIDIA NemotronMetaFrom Brain Waves to Words: Brain2Qwerty Offers a New Path to Communication Without SurgeryMicrosoftCopilot in Excel: Built for the era of Frontier FinanceGoogleOur latest Google Finance upgrades, including a new appAnthropicIntroducing Claude TagMicrosoftBeyond the benchmark: Advancing security at AI speedGoogleNew research shows how AMIE, our medical AI, could help manage health conditions.AnthropicTCS and Anthropic partner to bring Claude to regulated industriesMetaScaling How We Build and Test Our Most Advanced AIMetaSAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global ReasoningOpenAIFrom model to agent: Equipping the Responses API with a computer environmentOpenAIUnrolling the Codex agent loopOpenAIIntroducing GPT-5.1 for developersNVIDIANVIDIA BioNeMo Agent Toolkit Brings Accelerated AI to Life Sciences Researchers in Claude ScienceNVIDIAInto the Omniverse: Three Workflows for Improving Vision AI Agent Accuracy With Synthetic Data and Fine-TuningAnthropicClaude Science, an AI workbench for scientists, is now availableMicrosoftThe 2026 Agent Confidence Index: Where 300 builders see real momentumGoogleAsk an AI expert: What exactly is the full stack?NVIDIAOpen Models, Closed Environments: Palantir Brings Secure AI to US Agencies With NVIDIA NemotronMetaFrom Brain Waves to Words: Brain2Qwerty Offers a New Path to Communication Without SurgeryMicrosoftCopilot in Excel: Built for the era of Frontier FinanceGoogleOur latest Google Finance upgrades, including a new appAnthropicIntroducing Claude TagMicrosoftBeyond the benchmark: Advancing security at AI speedGoogleNew research shows how AMIE, our medical AI, could help manage health conditions.AnthropicTCS and Anthropic partner to bring Claude to regulated industriesMetaScaling How We Build and Test Our Most Advanced AIMetaSAM 3.1: Faster and More Accessible Real-Time Video Detection and Tracking With Multiplexing and Global ReasoningOpenAIFrom model to agent: Equipping the Responses API with a computer environmentOpenAIUnrolling the Codex agent loopOpenAIIntroducing GPT-5.1 for developers

Ship AI changes with proof, not vibes

A2ZAI Checks runs evals on your repo: a PR scorecard plus a public benchmark card you can drop in READMEs and launch posts. Same site: builder radar for model launches, API shifts, pricing, and outages—so you know when to re-run.

Builder signals

5

Funding tracked

30

Models watched

5

Agents spotted

0+

A2ZAI Checks

Catch prompt and agent regressions before merge, then turn the result into a shareable benchmark card.

Explore Checks

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Funding Radar

View all

xAI

$6B

Series CFoundation Models

Databricks

$10B

Series JAI Infrastructure

Perplexity

$500M

Series BAI Applications

Physical Intelligence

$400M

Series ARobotics

Chosen builder wedge

A2ZAI Checks is the utility layer on top of builder radar

The site stays useful as launch radar and discovery, but the product edge is a shareable scorecard builders can produce every time they ship. Supporting surfaces like learn still exist with 15 lessons and 126+ terms, but they are now secondary to shipping workflows.

Viral Artifact

GitHub PR scorecard

Shareable PR comment

A2ZAI Checks

Prompt regression check for `support-agent.yaml`

Quality

+8.4%

Latency

+220ms

Cost

-31%

Passing: `refund-policy`, `invoice-lookup`, `cancel-subscription`

Regressed: `edge-case-promotions` on `gpt-4.1-mini`

Recommendation: merge after fixing one retrieval prompt and rerunning the pack.

Public Card

Benchmark card

Linkable showcase

Repo benchmark

support-agent / checkout-recovery

128 eval cases

Best model route

Claude Sonnet + GPT-4.1-mini fallback

Win summary

12% better success at 29% lower cost

Pass rate 94%Safety stable1 flaky case

This is the artifact that spreads on X, GitHub, and founder launches: a benchmark card builders can link to when they ship.

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