RunLLM
AI that doesn’t just respond—it resolves
430 followers
AI that doesn’t just respond—it resolves
430 followers
Built on 10 years of UC Berkeley research, RunLLM reads logs, code and docs to resolve complex support issues. Saves 30%+ eng time, cuts MTTR by 50%, deflects up to 99% of tickets. Trusted by Databricks, Sourcegraph and Corelight—try for free on your product.
Just spun up a test agent, blown away by how well it reads logs and actually reasons through issues. Feels more like hiring a staff engineer than plugging in a chatbot. Insanely useful.
RunLLM
@saka5577 Thanks for sharing your feedback. Truly appreciated!
Just tried this out, super impressed by how it dives into logs and code with zero hand-holding. Feels like having a staff engineer triaging support on autopilot.
RunLLM
@yun_gong1 Thanks, Yun. Looking forward to further feedback!
I think there are some serious usability issues,
There is no notification when free trial credits are exhausted. After clicking Details, it only shows the Cycle started date without any other information.
Possibly related to the credits running out. After that, when users ask questions, it directly returns the following message,
An unexpected error has occurred
Sorry, we encountered an error processing your request. Please contact RunLLM for support
However, the "contact RunLLM" email support@aqueducthq.com cannot be found. There was also no mention of configuring this email during the setup process.
The entire RunLLM website has no information related to credits. Asking the RunLLM agent on the website also provides no answers
Hope these issues can be resolved soon!
RightNow AI
RunLLM
@jaber23, we wish we could've gotten this out sooner too. Some of it is just figuring out what customers need incrementally as you build, and some of it is that the tech wasn't quite ready yet. (e.g., Gemini 2.5 Flash is pretty important to our ability to do log analysis well). But we have a lot more coming soon — stay tuned!
RunLLM
@jaber23 Six months ago, it was already pretty awesome. But just think of how much better it is now that we've rebuilt it and added a new agentic planner with fine-grained reasoning and tool use support, a redesigned new UI that enables creating, managing, and inspecting multiple agents, and a Python SDK that allows you to exercise fine-grained control over support workflows! We'd love to get your impression of it. Note that you can try the full product absolutely free! We'll ingest documents and create a fine-tuned LLM to be an expert on your products. Then you can ask it hard questions about something you're familiar with to see how well it could work for you! 😻
RunLLM
@jaber23 Six months ago it was already strong — now it’s a whole new level!
AltPage.ai
Okay, this is brilliant—auto-resolving support tickets would save my team so much headache (and sleep). Does it handle really gnarly logs or just the easy stuff?
RunLLM
@joey_zhu_seopage_ai Hey Joey, after the agent uses tool call to fetch logs from systems like GCP, it uses an LLM to further extract parts that are relevant to the support tickets, so yeah it handles really gnarly logs. :)
RunLLM
@joey_zhu_seopage_ai Thanks for the feedback Joey! Glad to hear you see the value in this. We agree that stopping at the simple stuff would be boring and a bit underwhelming. We're always focused on solving our customers' hardest problems, so if you see any areas for improvement, send them our way!
RunLLM
@joey_zhu_seopage_ai We're built to handle advanced technical support (the hard stuff). Our customers consistently tell us that they are able to reclaim at least one third of each support engineer's time and have fewer escalations into engineering. So, based on what our customer are experiencing, we definitely know you could save time, headaches and reclaim some sleep!! 😴