📢@ECSAOfficial Engineering Practitioners & Society: Don’t just scroll, support the engineering profession! Like, repost, and amplify engineering content. Be the change... #AgendaForEngineering #SupportEngineering #EngineerGeneral #CityEngineers #engineers #InfrastructureAnalysts

🎬 Hot Take: @vsreekanti, Co-founder & CEO of RunLLM “If you’re not adopting AI, you’ll lose your best engineers to companies that are.” Vikram explains why: top talent wants to solve exciting problems, not waste time on repetitive work. Failing to bring AI into your workflows is like hiring a brilliant software engineer — and then asking them to sweep the floor while writing code. 👀 Watch the full mini-documentary here! youtu.be/MyjT2nBpbE8 #AI #LLM #AIAdoption #EnterpriseAI #RunLLM #VikramSreekanti #FutureOfWork #SupportEngineering #MachineLearning #AIProductDesign

🎬 Hot Take: @cgwu0530, Co-founder & CTO of RunLLM “The most important part isn’t avoiding mistakes — it’s learning from them.” Chenggang says the fastest improvement curve comes from anticipating that AI will make errors, then correcting them quickly so they don’t happen again. 👀 Watch the full mini-documentary here! youtu.be/MyjT2nBpbE8 #AI #LLM #AIAdoption #MachineLearning #TrustworthyAI #RunLLM #SupportEngineering #AIProductDesign #FeedbackLoop #ContinuousLearning #EnterpriseAI

🎬 Hot Take: @vsreekantii, Co-founder & CEO of RunLLM “Trust isn’t about never being wrong. It’s about learning fast and never making the same mistake twice.” – Vikram Sreekanti, Co-founder & CEO of RunLLM 👀 Watch the full mini-documentary here! youtu.be/MyjT2nBpbE8 #AI #LLM #TrustworthyAI #CustomerExperience #EnterpriseAI #AIProductDesign #SupportEngineering #AIUX #VikramSreekanti #RunLLM

🎬 Hot Take: @lateinteraction, MIT Professor & @DSPyOSS Founder “One of the biggest bottlenecks in AI right now is domain experts.” It’s not the models. It’s knowing what problem to solve. Professor Omar Khattab says non-technical experts may actually have the biggest advantage — if they take the time to learn how to work with AI. 👀 Watch the full mini-documentary here! youtu.be/MyjT2nBpbE8 #AI #LLM #AIAdoption #DomainExpertise #DSPy #OmarKhattab #EnterpriseAI #AIProductDesign #RunLLM #SupportEngineering #MachineLearning #AIUX

This week, we launched RunLLM v2, delivering AI Support Engineers that work how you work. We rebuilt the product to deliver smarter reasoning, deeper customization, and greater control—designed for the way support teams operate. Learn more about the launch here! ✅ Agentic Reasoning Engine Answers powered by multi-step planning, clarification, and tool use — including log analysis. 👉 Announcement: tinyurl.com/msvezn42 🎬 Demo Video: youtu.be/16Tc04ACn5I ✅ Workflow Customization SDK Define agent workflows in Python. Triage, escalate, sync, and act — across Slack, Zendesk, and more. 👉 Announcement: tinyurl.com/2s4zhhxr 🎬 Demo Video: youtu.be/r17datP1bl0 ✅ Reimagined User Interface Manage multiple agents, inspect reasoning traces, and fine-tune behavior — all in one place. 👉 Announcement: tinyurl.com/2p8ynes9 🎬 Demo Video: youtu.be/iVCTFVJmkcI RunLLM v2 powers support at companies like Databricks, Monte Carlo Data, Sourcegraph, Corelight, and Arize AI — helping teams deflect tickets, save engineering time, and improve CSAT. Learn more and try the full product on your own documentation for free with our easy self-service onboarding. 👉 Learn more at tinyurl.com/3sf3fp3e hashtag#RunLLM hashtag#RunLLMv2 hashtag#AI hashtag#SupportEngineering hashtag#AgenticReasoning hashtag#LaunchWeek hashtag#PythonSDK hashtag#UXforAI

✨ A major upgrade in RunLLM v2 is our completely rebuilt UI. 📖 Read the blog post: tinyurl.com/2p8ynes9 Most AI apps still rely on a chat interface. But assuming that’s all that’s happening is like looking through a straw. With deeper agentic reasoning, users need to understand what the system is doing, and how to control it. So we redesigned the RunLLM conversation view to support: ✅ Step-by-step reasoning ✅ Actions taken (like log analysis or ticket escalation) ✅ Auto-generated and custom tags ✅ Management of multiple agents across roles #AI #SupportEngineering #UXforAI #AgenticReasoning #RunLLM

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 ❇️ find the relevant data ❇️ pinpoint the issue ❇️ and recommend a fix No human prompt tuning. No copy/pasting between tools. Just an AI Support Engineer solving a real problem. This is what it looks like when AI moves beyond reply generation and starts doing real technical work. #AI #SupportEngineering #AgenticReasoning #LLM #RunLLM

🎬 Hot Take: @shirshanka, Co-founder & CTO of @DataHubCloud “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 understanding of where the tech works, and where it doesn’t. 👀 Watch the full mini-documentary here! youtu.be/MyjT2nBpbE8 #AI #LLM #GenerativeAI #EnterpriseAI #AIAdoption #TrustworthyAI #SupportEngineering #RunLLM #DataHub #ShirshankaDas #AIProductDesign #MachineLearning

🔥 AI LANDSCAPE WEEKLY: New Hot Takes from The Accelerating AI Landscape This week, we released six fresh Hot Takes from our mini-doc series — featuring sharp perspectives from leading researchers and builders on how to approach AI in the enterprise. These clips come from The Accelerating AI Landscape, our mini-documentary on what it takes to build real-world-ready AI that teams can trust. 🎥 Watch the full mini-documentary — link in the first comment 👇 🎬 @dpatil “AI is a roof. Data is the foundation and the walls. Without good data, you can’t build anything that lasts.” 🔗 x.com/RunLLM/status/19459628… 🎬 @vsreekanti “Even if foundation models plateaued today, we’d still have 10 years of product innovation left. We’ve built the submarine — now we explore the ocean floor.” 🔗x.com/RunLLM/status/19466726… 🎬 @profjoeyg “A bad AI product is one that's too focused on AI. It’s not just about the model — it’s about the system around it.” 🔗 x.com/RunLLM/status/19463220… 🎬 @joe_hellerstein “You wouldn’t trust AI to launch a missile — or to file your quarterly report. The outcomes of your business are still in your hands.” 🔗 x.com/RunLLM/status/19452555… 🎬 @cgwu0530 “We’ve hit a plateau with foundation models and infra. The next wave of AI innovation will center around verticals and applications.” 🔗 x.com/RunLLM/status/19448451… 🎬 @profjoeyg “I think AGI is already here — not in theory, but in practice. One model can now do thousands of things we never even trained it for.” 🔗 x.com/RunLLM/status/19455772… 🤖 Explore the first AI Support Engineer → tinyurl.com/49rfk5x8 #AI #LLM #EnterpriseAI #TrustworthyAI #AIAdoption #SupportEngineering #RunLLM #MachineLearning #AIProductDesign #FoundationModels #VerticalAI #AGI #DataInfrastructure

🐳 RunLLM CEO @Vikram argues that if foundation models like #ChatGPT, #Claude & #Gemini were to plateau today, we'd still have 10 years of innovation ahead of us — like having the whole ocean floor left to discover. What do you think? 🎬 Full mini-documentary here: youtu.be/MyjT2nBpbE8 #EnterpriseAI #TrustworthyAI #LLM #AIProductDesign #AIAdoption #SupportEngineering #RunLLM #MachineLearning #FoundationModels #AIInfrastructure

🚀 Hot Take: @joe_hellerstein, Professor at UC Berkeley Do you want AI launching a missile? For high-stakes decisions, we need human accountability. 👀 Watch the full mini-documentary here! youtu.be/MyjT2nBpbE8 #AI #LLM #EnterpriseAI #TrustworthyAI #RunLLM #JoeHellerstein #AIProductDesign #MachineLearning #SupportEngineering #AIinBusiness

🎬 Hot Take: Chenggang Wu, Co-founder & CTO of RunLLM 🎥 Watch the full Mini-documentary: youtu.be/MyjT2nBpbE8 “We’ve hit a plateau with foundation models and infra. The next wave of AI innovation will center around verticals and applications.” @cgwu0530's perspective? Foundation model capabilities are stabilizing — but there’s still massive upside ahead for teams that build domain-specific applications with real utility. #AI #LLM #EnterpriseAI #VerticalAI #RunLLM #ChenggangWu #AIProductDesign #MachineLearning #SupportEngineering #TrustworthyAI

We sat down with @vsreekanti, Co-founder & CEO of RunLLM for his take on AI. It's less about the AI, and more about the rest of the app! 👀 Watch the full mini-documentary here! youtu.be/MyjT2nBpbE8 Vikram is a @Cal_Engineer Ph.D. graduate and former researcher at the @ucbrise, where he worked on cloud infrastructure, serverless systems, and data platforms with Professors @profjoeyg and @joe_hellerstein — before co-founding @RunLLM with them and Chenggang Wu. Vikram's take? AI by itself isn’t a silver bullet. You can’t just throw a model at a problem and expect results. The real challenge is building a thoughtful application of that technology, and that’s actually the hardest part. Hear from Vikram and other experts on what it takes to assess and adopt AI in a way that actually works for companies. #AI #LLM #EnterpriseAI #TrustworthyAI #RunLLM #BerkeleyRISE #SupportEngineering #MachineLearning #AIProductDesign #VikramSreekanti

🧙‍♂️ You’ve solved all your technical support tickets. Now what? Support leaders have always had to choose: Fast or accurate. Deep or scalable. And when the queue grows, tradeoffs take over. But what if the tradeoffs are breaking down? AI applied correctly offers a turning point in technical support: not just deflection, but true resolution at scale. Backed by outcomes from @arizeai, @corelight_inc , @vllm_project , and @DataHubCloud. 🛡️ You shall not escalate: tinyurl.com/4b2atamu #TechnicalSupport #AIinSupport #CustomerExperience #PostSales #LLM #SupportEngineering #AIApplications #CustomerSuccess #SupportOps #AIProductivity

🗓️ ICYMI. Run of the Week | 6.22.25 Insights, updates, and shares from the past week, all in one place. 📌 Founder POV: Strategy doesn’t matter if you don’t act on it. Everyone loves coming up with big picture ideas and discussing which ones might work, but that’s not the hard work. 👉tinyurl.com/2xh7kawa 📌 The AI Frontier: Will long context windows solve all your problems? Will long context windows solve your search problems? Not even close. Joey and Vikram break down why smarter retrieval still matters, even in a world with 2M token prompts. 👉 tinyurl.com/yc42594c 📌 Beyond the Model Wars: The Real AI Race Begins The model wars aren’t over, but the real AI race is already moving elsewhere. For the past year, we’ve talked with researchers, founders, and engineers working at the frontier of AI. Click below for their point of view. 👉tinyurl.com/24xtn8zh 📌 Company Culture: Founders set the tone Every company has something that’s sacred to it — whether you know it or not. And that trickles down from founders and leadership. Read more to see RunLLM’s 👉 tinyurl.com/2k8t9u2j Follow RunLLM for more insights, updates, and real-world applications of LLMs in support, product, and AI infrastructure, and more. #RunLLM #SupportEngineering #AIInfrastructure #EnterpriseAI #AIUX #LLMs #AIInnovation #AIAgents

🧩 Retrieval Isn’t Enough. Interpretation Is the Hard Part. In Episode 27 of LLMs on the Run, @profjoeyg explains where retrieval helps, and where it falls short. At RunLLM, we’ve learned that it’s not enough to find the right documents. You have to understand them. RAG pipelines that stop at “good search” are missing the point. What comes next is where the real progress happens. Joey breaks down: ✅ Why retrieval is useful for surfacing the right superset of context ✅ Why interpretation, not document matching, is the real unlock ✅ How multiple review passes lead to answers you can trust Brought to you by RunLLM: tinyurl.com/5bpbsf8p #LLMsOnTheRun #RAG #AIUX #SupportEngineering #Retrieval #ContextInterpretation #RunLLM #AIInfrastructure

🗓️ ICYMI. Run of the Week | 6.15.25 Insights, updates, and shares from the past week, all in one place. 📌 Founder POV: It’s you’re doing AI because your Board said so, that’s a problem. The best teams adopt AI to solve real pain, not to chase a headline. 👉 tinyurl.com/3h52yawh 📌 The AI Frontier: A deep dive on search for AI applications. Search still matters. It’s a critical piece of any real AI application, and it’s harder than it looks. @profjoeyg and @vsreekanti share what they’ve learned about Search building RunLLM in this week's The AI Frontier. 👉 tinyurl.com/bddt68s4 📌 Improve Support by Two Standard Deviations What if your support experience felt more like a tutor than a textbook? In our latest post, we explore how personalized, context-aware AI — modeled after the success of one-on-one tutoring — can improve onboarding, retention, and support at scale. 👉tinyurl.com/29xnmrnt 📌 Product Perspective: Naming things correctly shapes product direction Early on, avoiding the word “agent” helped RunLLM steer clear of initial AI hype. However, once it made sense for us, it unlocked product possibilities driven by real customer needs. 👉 tinyurl.com/3736x65a 📌 Startup Corner: What does your startup hold sacred? Startups can move fast and break things, but at RunLLM, answer quality is non-negotiable — it's why customers trust us, even when other parts of the experience are imperfect. 👉 tinyurl.com/49dw45zk Follow RunLLM for more insights, updates, and real-world applications of LLMs in support, product, and AI infrastructure, and more. #RunLLM #SupportEngineering #AIInfrastructure #EnterpriseAI #AIUX #LLMs #AIInnovation #AIAgents

Great technical support should teach, not just tell. Can we go from "Textbooks to Tutors?" When customers search your docs, they’re not looking for a library. They’re looking for personalized guidance, from someone who understands their specific situation and can help them solve it. In education, one-on-one tutoring improves outcomes by two standard deviations. That means the average tutored student performs better than 98% of their peers. At RunLLM, we think support should work the same way. That’s why we built the AI Support Engineer to behave more like a tutor than a search tool — personalized, adaptive, and context-aware. 📚 New post: Improve Support by Two Standard Deviations Why static documentation isn’t enough, and how tutoring-style AI changes the game for onboarding, retention, and support at scale. 👉 Read it here: tinyurl.com/29xnmrnt #AI #CustomerSupport #LLM #SaaS #SupportEngineering #ProductLedGrowth #RunLLM

🎉 Growth is great, until it breaks your support team. At growth-stage companies, what used to work — Slack threads, tribal knowledge, heroic effort — suddenly doesn’t. Support gets overwhelmed. Docs fall behind. Engineers burn out. Customers start to notice. We’ve seen it happen again and again: growth exposes entropy. Scattered docs. Answers that vary by who you ask. Slack threads no one can find. Critical knowledge that walks out the door. This post breaks down: ☑️ Why scaling breaks informal support ☑️ What it really takes to build resilience ☑️ How AI can help you dig out, even without perfect docs or process If you’re scaling fast, this will sound familiar. Here’s what to do about it: 👉 tinyurl.com/mtepcnun #SupportEngineering #CustomerExperience #AIforSupport #RunLLM #ScalingSupport #GrowthStage