A2ZAI BUILDER LAB / EXPERIMENT 001

The instruction that disappeared.

Follow a refund policy through a growing conversation. See what reaches the next request.

Watch the experiment

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.

MicrosoftMicrosoft Digital Defense Report: How AI is reshaping the cybersecurity landscapeOpenAIA model guide for the GPT-6 familyNVIDIANVIDIA DGX Spark 64GB Gives Developers More Ways to Build and Scale Local AIAnthropicAnthropic invests $100 million to train 10,000 engineers and tackle the enterprise AI talent gapNVIDIAHow NVIDIA GPUs Help Accelerate OpenAI’s GPT-6 Astra UltrafastMicrosoftNew Microsoft AI models bring faster transcription and multilingual voicesAnthropicBarclays scales Claude to upgrade operations and improve client experienceGoogleWatch the winning trailer from the Future Vision XPRIZE, The Gifted.MicrosoftA new skill finds AI agent risks, fixes them, and proves the fix workedAnthropicClaude discovers a novel enzyme system with CRISPR-like repeatsNVIDIANVIDIA Isaac ROS 5.0 Advances Agentic, Open Source Robotics DevelopmentGoogleNew experts join Google’s AI & Economy teamGoogleAI for everyone in every languageMetaReimagining Independence: How Meta’s AI Models Are Helping the University of Pittsburgh Transform Assistive RoboticsMetaIntroducing 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 loopMicrosoftMicrosoft Digital Defense Report: How AI is reshaping the cybersecurity landscapeOpenAIA model guide for the GPT-6 familyNVIDIANVIDIA DGX Spark 64GB Gives Developers More Ways to Build and Scale Local AIAnthropicAnthropic invests $100 million to train 10,000 engineers and tackle the enterprise AI talent gapNVIDIAHow NVIDIA GPUs Help Accelerate OpenAI’s GPT-6 Astra UltrafastMicrosoftNew Microsoft AI models bring faster transcription and multilingual voicesAnthropicBarclays scales Claude to upgrade operations and improve client experienceGoogleWatch the winning trailer from the Future Vision XPRIZE, The Gifted.MicrosoftA new skill finds AI agent risks, fixes them, and proves the fix workedAnthropicClaude discovers a novel enzyme system with CRISPR-like repeatsNVIDIANVIDIA Isaac ROS 5.0 Advances Agentic, Open Source Robotics DevelopmentGoogleNew experts join Google’s AI & Economy teamGoogleAI for everyone in every languageMetaReimagining Independence: How Meta’s AI Models Are Helping the University of Pittsburgh Transform Assistive RoboticsMetaIntroducing 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 loop

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 C • Foundation Models

Databricks

$10B

Series J • AI Infrastructure

Perplexity

$500M

Series B • AI Applications

Physical Intelligence

$400M

Series A • Robotics

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.

AI Stock Pulse

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NVIDIA

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AA
AAPL

Apple

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ME
META

Meta

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AM
AMZN

Amazon

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MS
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Microsoft

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