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Does Product Hunt 😸 have a support team that can respond? cc Ryan Hoover come back 😿

🌟 Advancing AI Reasoning with COCONUT 🌟 LLMs are powerful, but their reasoning often falls short for complex tasks. Traditional methods like Chain-of-Thought (CoT) reasoning, which mimic step-by-step human thinking, have their inherent limitations. Enter COCONUT (Chain of

✨ Improve your data curation workflows from logs using human annotation queues ✨ To optimize quality and performance of AI applications, teams need to continuously inspect traces, annotate examples, and use these logs as datasets for evaluation, fine-tuning, or in-context

⚡🚨 Real-time alerts on GenAI quality and performance 🚨⚡ To ensure the reliability of AI applications, from simple chatbots to complex agents, in production, teams must monitor both performance and quality. Maxim’s observability suite allows you to trace user interactions

check out Maxim AI's agentic simulation and eval workflows to ship reliable agents, much faster ⚡️🚀 sign up for a free trial: app.getmaxim.ai cheers to Yujian Tang for a great event GitHub 🙌

🚀 Integrating Evals to Deployment Workflows using Maxim 🚀 CI/CD pipelines are central to modern software development, automating workflows and enabling teams to meet high-quality standards with speed. #AI #LLM #CICD #AIAgent #AI_Evaluation

⚙️ OpenTelemetry Support for Distributed Tracing and Observability ⚙️ AI teams manage vast amounts of production data and logs, making cross-platform monitoring and troubleshooting challenging without a standardized telemetry framework.

🔐 Collaborate Securely with Role-Based Access Control on Maxim 🔐 One of Maxim’s foundational features—especially for enterprise customers and those in regulated industries—is role-based access control (RBAC). #AI #LLM #DevTool #RBAC

🎯 Custom Evaluators for Every Use Case on Maxim: A thread 🧵 Take charge of your AI systems' quality with Maxim AI. We offer a comprehensive set of evaluators through our evaluator store, covering AI (LLM-as-a-Judge, e.g., bias or toxicity checks), programmatic (e.g.,

✨ MongoDB x Maxim AI ✨ At Maxim, we empower modern AI teams to ship trustworthy applications with our agent simulation, evaluation, and observability platform. By collaborating with MongoDB , we're paving the way for developers to build reliable and scalable AI

Totally resonate 💯 At Maxim AI, we’ve seen firsthand how evals are becoming the backbone of high-quality AI products. A well-structured eval process—both offline and online— helps teams move fast⚡️while keeping 'taste' at the core of their products

Introducing Maxim AI Bifrost: One interface any llm! Dive into a powerhouse of features with our collaborative prompt playground, seamless versioning, A/B testing, built-in observability, and real-time evaluations. Bifrost is the cornerstone of Maxim's infrastructure. To

reframe your evals as interfaces, not just tests. good evals directly guide model intuition, ensuring subtle yet critical user expectations aren’t lost in translation.

🚀 Meet the Maxim Developer Plan: free forever for AI agent builders. ✅ Prompt playground ✅ Agent simulation & evals ✅ Excel-compatible datasets ✅ Logs, traces, & full observability ✅ Real-time alerting No paywall, no credit card, get started now 👉 getmax.im/x-signup

100% this. at Maxim AI, we’re seeing a clear trend -- early investment in evals = faster product velocity + better quality. don't wait evals.new

Hi folks, Maxim AI is hosting an evals mixer on the 21st with Razorpay Includes speakers from Atomicwork, smallest.ai, Glean and CodeRabbit, talking about code and multi-modal evals to name a few. lu.ma/5fngf065

getting started with evals doesn't require too much. the pattern that we've seen work for small teams looks a lot like test‑driven development applied to AI engineering: 1/ anchor evals in user stories, not in abstract benchmarks: sit down with your product/design counterpart

What an incredible evening! 🙌 A huge thank you to everyone who joined us at the AI Evals Mixer hosted by Maxim AI in collaboration with Razorpay Ventures and Mars Shot VC . The evening brought together AI engineers, product builders, and eval leads to share practical

you’re starting to see this in the current cohort of entrants to the valley. when all status & relationship are digital mediated, appearance and substance decohere aggressively; the nice car, the funding round, having a product, is only useful insofar as you can post about it.

Today, we are thrilled to announce a strategic partnership between Maxim AI and Google Cloud's Vertex AI, a collaboration to enable developers with a comprehensive and robust solution to evaluate and observe complex agentic AI applications. The journey to building truly