RunLLM @RunLLM
The AI SRE for mission-critical systems that provides transparent investigations, evidence-backed root cause analysis, and continuous runbook improvements. runllm.com Joined April 2022-
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šļø ICYMI. Run of the Week | Sep 29, 2025 Last week at RunLLM: blogs, features, and hot takes worth a second look. š The AI Frontier: Lessons from 99 Blog Posts German musical artist, Nena, had a hit song in 1983 called 99 Red Balloons. This is like that but totally different.ā¦
What happens when AI needs customer support? We just tested it: one AI (Cursor) asked questions, and another AI (RunLLM) provided answers through an MCP interface. Thatās right ā an AI getting support from another AI. In Ep 43 of LLMs on the Run, @profjoeyg explores what thisā¦
How MCP accelerates AI-to-AI interaction: The next phase of AI UX is APIs and protocols that let agents talk to your product and to each other. In Ep 42 of LLMs on the Run, Professor Joseph Gonzalez (Joey) explains why: ā MCP and A-to-A protocols will become the real āUXā forā¦
š 99 Luftballonsā¦ er, uh, blog posts. @profjoeyg and @vsreekanti have been writing about AI for 2 years. What did they learn? They share their top insights in this retrospective post. Do you have some time for me? Then Iāll sing you a songā¦ about ninety-nine AI blog posts.ā¦
š SREs donāt need AI that tries to carry the ball. They need a teammate who clears the path. When an AI tool tries to ārun the playā by rolling back production without approval, engineers are left wondering: did it actually fix the problem, or just create a bigger one? Duringā¦
šļø ICYMI. Run of the Week | Sep 23, 2025 Last week at RunLLM: blogs, features, and hot takes worth a second look. š The AI Frontier: Looking Ahead in AI Hot (and cold) takes on whatās next: enterprise adoption, chat vs. background work, platform plays, inevitableā¦
What does āUXā mean when your user isnāt human but an AI? The rules of product design change when the ācustomerā on the other side is an agent, not a person. Thatās the challenge @profjoeyg explores in Ep 41 of LLMs on the Run. In the near future, your product will likely serveā¦
What if your next customer wasnāt human but an AI? Are we headed into a world where āIāll have my AI talk to your AIā becomes the norm? Thatās the question @profjoeyg explores in Ep 40 of LLMs on the Run. Tools like Cursor show us that AI agents are already becoming āusersā ofā¦
Your API is down, and your AI tool just rolled back without asking. Did it save you or make things worse? You'll never know because it didn't show its work or wait for approval. And so the flop sweat begins, and why most AI incident tools become liabilities instead ofā¦
šļø ICYMI. Run of the Week | Sep 15, 2025 This week at RunLLM: blogs, features, and hot takes worth a second look. š The AI Frontier: Lessons from 100 Blog Posts Professor Joseph Gonzalez and Vikram Sreekanti reflect what they got right and wrong after 2 years of thinking andā¦
It's become commonplace to talk about how quickly things are changing in AI. Our blog turned 2 last month, and we're (almost) at 100 posts, so we thought we'd take the chance to think about what we've learned in the last two years. We were right about some things and wrong aboutā¦
š¬ AI Hot Take: @vsreekanti, Co-founder & CEO of RunLLM āWhen the dust settles, the AI market will play out in a winner-takes-vertical way.ā Vikram says productivity in every enterprise is about to look radically different. The biggest winners wonāt be the ones applying AIā¦
āI need more data to pore over,ā said no on-call engineer ever in the history of incident response. What teams actually need is the right evidence at the right moment, and that's achieved by: ā A glass-box AI SRE that shows its work with links to panels, queries, and diffs ā ā¦
š¬ AI Hot Take: @dpatil, Former U.S. Chief Data Scientist āAI doesnāt always need to be the best on one metric. What matters is how it gracefully fails ā and still helps even when it canāt be perfectly right.ā DJ says the test of a trustworthy AI system isnāt just peakā¦
šļø ICYMI. Run of the Week | Sep 7, 2025 This week at RunLLM: blogs, features, and hot takes worth a second look. š The AI Frontier: AI Artists vs. AI Engineers Professor @profjoeyg and RunLLM CEO @vsreekanti define emerging archetypes for complex AI apps. AI Artists exploreā¦
š¬ AI Hot Take: @joe_hellerstein, UC Berkeley Professor āThe right way to prioritize AI? Just get your feet in the water.ā Joe says companies should begin with low-stakes use cases, replacing āsoftā human processes. Once you build fluency and trust, you can move towardā¦
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