🎬 AI Hot Take 🔥 "What makes a bad AI product is a product that's too focused on AI." - UC Berkeley Professor Joey Gonzalez 👀 Watch the full mini-documentary here! youtu.be/MyjT2nBpbE8

We’re launching RunLLM v2 next week (👀 stay tuned!), and we honestly feel like the product might not be ready. That’s just life in a startup. There’s always more polish you can do, and you’re probably right. But getting something exactly right before you know it’s the

🎬 Hot Take: Shirshanka Das, Co-founder & CTO of DataHub “The one thing I’m sick of is everyone saying, ‘Can’t we just solve this with generative AI?’” Shirshanka makes it clear: GenAI isn’t a magic wand. The best results come from a blended approach — grounded in a real

AI is progressing exceedingly fast. It's hard for startups and builders to keep up. Learn how in this mini-documentary by RunLLM w/ top AI researchers, enterprise builders, and system designers. dj patil, Joey Gonzalez, Omar Khattab, Shirshanka Das, Vikram Sreekanti, Chenggang Wu 📽️

The House Fund RunLLM dj patil Joey Gonzalez Omar Khattab Shirshanka Das Vikram Sreekanti Chenggang Wu A must-watch for any startup or enterprise!

It's the Friday evening before the launch, and I've yet to write a single line of code. Both exciting (because our engineering team is so on top of things) but also a bit sad. 🥲

AGI Builders is hosting an event in San Francisco on August 6th! The topic is "Building Production-Ready AI Agents". Letta CEO Charles Packer will be on the panel, along with Reed McGinley-Stempel (CEO of Stytch) and Jason Lopatecki (CEO at Arize AI).

We received the Best Paper award of #aied for Askademia! Askademia is a video question-answering platform for live and asynchronous educational videos hosted on any platform! If you want to try Askademia, please reach out through our contact page. Link: askademia.org

People are always asking for recommendations for other great content to read, but few people find that I maintain a full list of recommendations with my blog Interconnects (link to page below). Here's the list in no structured order: 1. Helen Toner (Helen Toner), Rising Tide:

We’re launching RunLLM v2 on Product Hunt tonight at midnight. If you want a sneak peek — or prefer to follow and get notified when we go live — you can check out the preview now: 👉 Preview RunLLM on Product Hunt producthunt.com/products/runll… Thanks in advance for the early

Congratulations to Sewon Min for winning yet another dissertation award, this time, ACL dissertation award. So proud of you Sewon!!!

🚨 RunLLM v2 is live on Product Hunt! A full rebuild of the product — with agentic reasoning, customizable workflows, and a new UI built for real support teams. We’d love your feedback and comments! 👉 producthunt.com/products/runll… #LaunchDay #AI #ProductHunt

We’re excited to introduce RunLLM v2 today! 🎉 RunLLM v2 is rebuild of the product from the ground up focused on delivering the most powerful and flexible platform for enterprise support teams. Read the RunLLM v2 launch blog post: 👉 tinyurl.com/49st5ns2 Today’s launch

Vikram is both a close friend & approaching AI style products in exactly the right way. Really interesting to follow the evolution of AI support engineers as models get better at long context and more agentic. Sometimes sounds like a boring problem, but still super tricky.

Did you know you can copy content from our documentation to a markdown string? Great for pasting into Claude Code.

Real AI ROI is rare, and RunLLM is delivering it at scale. With today’s v2 launch, they’re now deflecting 99% of support questions for vLLM, cutting workload by 30% at Corelight, and saving DataHub over $1M in engineering time. Vikram Sreekanti, Chenggang Wu, Joe Hellerstein,

.RunLLM v2 is one of the most complete enterprise AI products I’ve seen. It goes well beyond answer generation — combining agentic reasoning, live tool use, and real workflow integration  Vikram Sreekanti, Chenggang Wu, Joe Hellerstein, Joey Gonzalez runllm.com/blog/introduci…

One of the most powerful features in RunLLM v2 is now live: ✨ Agentic Reasoning with real log + telemetry analysis. 🎥 Watch the demo → youtu.be/16Tc04ACn5I In this demo, you’ll see RunLLM do something most AI systems can’t: ❇️ recognize that it needs to analyze logs ❇️

Our original UI for RunLLM was shaped by 2 years of constant iteration. And while it worked, it wasn't built for what customers needed. Over the last few months, we’ve rebuilt our UI from scratch driven by a single key observation: after creating their first agent, most users

Today, crafting agent workflows is hard and technical. In a few years, it’ll be as trivial. A startup's edge won't be its infra, but rather the product differentiation, workflow depth, and distribution. The focus will shift from can this be built to what's the agent's ROI.