Understand your context. Catch regressions.

Inspect what goes into your AI requests with Context X-Ray. Test behavior changes with DriftCheck. Track provider changes that affect your stack.

Context X-Ray is free with no signup. DriftCheck runs locally or in CI.

MicrosoftResponsible AI in 2026: How we are adapting for what’s aheadGoogleTry Google Pics: Easy image creation and editing in Google WorkspaceAnthropicDeveloping Enterprise Frontier Safeguards with our customersMicrosoftMicrosoft and DepEd partner to bring AI tools to 1 million teachers across the PhilippinesAnthropicPreviewing the Model Hardware StandardNVIDIANVIDIA NVLink Fusion Expands With NVHBM Custom High-Bandwidth MemoryMicrosoftMoving beyond release waves with the AI at Work roadmapAnthropicFunding better evaluations of AI’s impact on wellbeingNVIDIANVIDIA and Local AI Community Fuel Open Source Models and Intelligent AgentsNVIDIANVIDIA Nemotron 3.5 Lightning and NeMo Switchyard Deliver Faster, Smarter, More Efficient Agentic AIGoogleGemini API Managed Agents: 3.6 Flash, hooks, and moreMetaReimagining Independence: How Meta’s AI Models Are Helping the University of Pittsburgh Transform Assistive RoboticsGoogleExpanding Managed Agents in Gemini API: background tasks, remote MCP and moreMetaIntroducing Muse Image and Muse VideoMetaFrom Brain Waves to Words: Brain2Qwerty Offers a New Path to Communication Without SurgeryOpenAIFrom model to agent: Equipping the Responses API with a computer environmentOpenAIUnrolling the Codex agent loopOpenAIIntroducing GPT-5.1 for developersMicrosoftResponsible AI in 2026: How we are adapting for what’s aheadGoogleTry Google Pics: Easy image creation and editing in Google WorkspaceAnthropicDeveloping Enterprise Frontier Safeguards with our customersMicrosoftMicrosoft and DepEd partner to bring AI tools to 1 million teachers across the PhilippinesAnthropicPreviewing the Model Hardware StandardNVIDIANVIDIA NVLink Fusion Expands With NVHBM Custom High-Bandwidth MemoryMicrosoftMoving beyond release waves with the AI at Work roadmapAnthropicFunding better evaluations of AI’s impact on wellbeingNVIDIANVIDIA and Local AI Community Fuel Open Source Models and Intelligent AgentsNVIDIANVIDIA Nemotron 3.5 Lightning and NeMo Switchyard Deliver Faster, Smarter, More Efficient Agentic AIGoogleGemini API Managed Agents: 3.6 Flash, hooks, and moreMetaReimagining Independence: How Meta’s AI Models Are Helping the University of Pittsburgh Transform Assistive RoboticsGoogleExpanding Managed Agents in Gemini API: background tasks, remote MCP and moreMetaIntroducing Muse Image and Muse VideoMetaFrom Brain Waves to Words: Brain2Qwerty Offers a New Path to Communication Without SurgeryOpenAIFrom model to agent: Equipping the Responses API with a computer environmentOpenAIUnrolling the Codex agent loopOpenAIIntroducing GPT-5.1 for developers

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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