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+
Top builder-critical changes
What could break your stack this week
- highMiniMax-M2.7 momentum +3%MiniMaxAI
- highQwen3.6-35B-A3B momentum +3%Qwen
- highHY-Embodied-0.5 momentum +30%tencent
- highQwen3.6-35B-A3B-GGUF momentum +1%unsloth
- highERNIE-Image momentum +30%baidu
Sourced from the same live signal pipeline as River. Pin your evals with Checks.
Is your AI stack at risk?
Pick your providers, see critical changes in 10 seconds. Free, no signup, shareable.
Score my prompt
Compare two models on your prompt and get a shareable benchmark URL.
Live River
Quick bytes on launches, deprecations, pricing moves, benchmarks, and breakage risk.
A2ZAI Checks
GitHub-native evals that turn prompt and agent changes into PR scorecards.
Builder Stack
Discover agents today, with MCPs, plugins, SDKs, and technical products rolling in next.
Capital Radar
Funding rounds, acquisitions, and investor moves with builder-first context.
Best places to start
Choose an artifact, not a browse path
The strongest A2ZAI surfaces now end in a public object you can use, share, or route teammates into.
Utility artifact
Run Checks and publish a benchmark card
Best for shipping teams who want a PR scorecard, public benchmark artifact, and shareable proof of improvement.
Open ChecksSignal artifact
Open the live river and jump into quick bytes
Best for scanning launches, deprecations, pricing shifts, and benchmark moves, then opening the strongest byte pages.
Open Live RiverDestination artifact
Use company pages as operating dashboards
Best for sending someone one link that combines official posts, live intel, quick bytes, and capital context.
Explore company pagesCompany Spotlight
NVIDIA
Autonomous AI at Scale: Adobe Agents Unlock Breakthrough Creative Intelligence With NVIDIA and WPP
Meta
Scaling How We Build and Test Our Most Advanced AI
Turn your best AI prompts into one-click tools in Chrome
Microsoft
How AI is helping businesses innovate and grow in different industries
OpenAI
The next evolution of the Agents SDK
Anthropic
Introducing Claude Design by Anthropic Labs
What changed for builders
Use this stream to spot the change, then move into a stronger destination page: river for the wider feed, company pages for operator context, and Checks for a public benchmark artifact.
Qwen3.6-35B-A3B momentum +3%
Qwen • Qwen3.6-35B-A3B
HY-Embodied-0.5 momentum +30%
tencent • HY-Embodied-0.5
Qwen3.6-35B-A3B-GGUF momentum +1%
unsloth • Qwen3.6-35B-A3B-GGUF
ERNIE-Image momentum +30%
baidu • ERNIE-Image
Seef Properties Launches Smart Assistant “Sara” via WhatsApp to Enhance Operational Efficiency
Biz Bahrain • AI News
Trifork Announces New Board Members To Advance Product-Led Growth And AI Strategy
Menafn • AI News
xAI raised $6B (Series C)
Funding Radar • xAI
Humanoid Robot Makes Surprise Appearance at Lotte World Tower Stair Marathon
서울경제 • Robotics
A2ZAI Checks
Catch prompt and agent regressions before merge, then turn the result into a shareable benchmark card.
Explore ChecksBuilder Brief
Get the launches, benchmarks, pricing moves, and outages that matter before your app breaks.
Get AI intelligence briefs
Receive high-signal updates on companies, funding, and models.
Or stay in the loop on X
Follow @_MomentumTraderFunding Radar
View allxAI
$6BSeries C • Foundation Models
Databricks
$10BSeries J • AI Infrastructure
Perplexity
$500MSeries B • AI Applications
Physical Intelligence
$400MSeries 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
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
Repo benchmark
support-agent / checkout-recovery
Best model route
Claude Sonnet + GPT-4.1-mini fallback
Win summary
12% better success at 29% lower cost
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
Meta
Apple
NVIDIA
Microsoft
Market data delayed. For informational purposes only.
Latest Research
View allRepurposing 3D Generative Model for Autoregressive Layout Generation
We introduce LaviGen, a framework that repurposes 3D generative models for 3D layout generation. Unlike previous methods that infer object layouts from textual descriptions, LaviGen operates directly in the native 3D space, formulating layout generation as an autoregressive process that explicitly m...
arXivFineCog-Nav: Integrating Fine-grained Cognitive Modules for Zero-shot Multimodal UAV Navigation
UAV vision-language navigation (VLN) requires an agent to navigate complex 3D environments from an egocentric perspective while following ambiguous multi-step instructions over long horizons. Existing zero-shot methods remain limited, as they often rely on large base models, generic prompts, and loo...