Name a more iconic trace table. We'll wait.

We're fans of error analysis at @Atla_AI, so we took @sh_reya and @HamelHusain's advice seriously and tried to properly automate it end-to-end. We've written up our findings of what works (and what doesn't) in a new blogpost! https://t.co/CkjJnFNJAC

After generating our 1 millionth incomprehensible agent trace, we had an epiphany: what if observability tools actually helped you observe things? Crazy concept. Built a platform. It works.🤷‍♂️

Atla automatically detects errors in your AI agents. Today we're live on Product Hunt 😺 We'd love your support and feedback! https://t.co/VvaXeStiz8 PS - to celebrate, we’re releasing the real launch video.

https://t.co/m910ArDP0d

🚨 Silent agent failures → lose user trust JOSEPHA helps shoppers find millions of products cheaper each month by running a multi-agent system that scours the web for deals, reviews, and specs. But as they scaled to 70K+ queries daily, critical agent failures were buried in

Atla (@Atla_AI) is the improvement engine for AI agents. Instead of just surfacing agent traces, Atla automatically identifies your agent's most critical failure patterns and suggests targeted fixes. https://t.co/3YKAepbBjQ

Debug 5X faster. Ship 2X more. https://t.co/dVQoW5NsPU

Today we’re launching Atla — the improvement engine for AI agents. Atla helps agent builders find and fix recurring failures. Instead of just surfacing traces, Atla automatically identifies your agent’s most critical failure patterns and suggests targeted fixes.

Read the full case study here:

🚀 𝗦𝗵𝗶𝗽𝗽𝗶𝗻𝗴 𝗮𝗴𝗲𝗻𝘁 𝗶𝗺𝗽𝗿𝗼𝘃𝗲𝗺𝗲𝗻𝘁𝘀 𝘁𝘄𝗶𝗰𝗲 𝗮𝘀 𝗳𝗮𝘀𝘁 — @fieldyai integrated Atla alongside LangSmith and immediately accelerated their development workflow across tens of thousands of production traces By adopting Atla, Fieldy: - 𝗥𝗲𝗱𝘂𝗰𝗲𝗱

Read the full blog post here:

🌍 Trusted by patent attorneys in 15+ countries, ClaimWise is moving faster than ever — spotting agent failure modes in 𝗱𝗮𝘆𝘀 𝗶𝗻𝘀𝘁𝗲𝗮𝗱 𝗼𝗳 𝘄𝗲𝗲𝗸𝘀 with Atla. “[𝘈𝘵𝘭𝘢’𝘴] 𝘳𝘦𝘢𝘭-𝘵𝘪𝘮𝘦 𝘥𝘢𝘵𝘢 𝘤𝘳𝘶𝘯𝘤𝘩𝘪𝘯𝘨 𝘢𝘯𝘥 𝘱𝘳𝘦𝘴𝘦𝘯𝘵𝘢𝘵𝘪𝘰𝘯

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New integration alert! @AgnoAgi 's production-ready multi-agent orchestration with the @Atla_AI sophisticated agent monitoring and optimization platform solves the critical gap between impressive AI demos and systems that actually work at scale. Key highlights: → ~3μs agent

✒️ Full details in our blog post: https://t.co/mLHr55Hwlu

🚀 𝗠𝗼𝗻𝗶𝘁𝗼𝗿 𝗮𝗻𝗱 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗲 𝗮 𝗺𝘂𝗹𝘁𝗶-𝗮𝗴𝗲𝗻𝘁 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄 — 𝗶𝗻 𝘁𝗵𝗶𝘀 𝗶𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝘃𝗲 𝗱𝗲𝗺𝗼. Among teams using our platform that build with frameworks, one has stood out as the most popular: @AgnoAgi. We built a demo to show the combo: →

🌕 Start evaluating with Selene 1: https://t.co/EtO3x0sHtx 🌔 Selene 1 (70B): https://t.co/i9HWKuCmGo 🌖 Selene 1 quantized:

Big news: we’re open sourcing Selene 1! We’ve been inspired by @huggingface's new native @vllm_project support for inference endpoints. We’re celebrating by making Selene our 70B LLM Judge model available to the wider community. Links 🧵