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.
This is EXACTLY what the industry needs! 🔥
As someone who's worked in technical support and engineering, I can't tell you how many times I've seen brilliant engineers get pulled away from building features to debug obscure customer issues that could have been solved with better tooling.
What makes RunLLM stand out:
🎓 10 years of UC Berkeley research - This isn't just another ChatGPT wrapper. There's serious academic rigor behind this.
📊 Those numbers are incredible - 99% ticket deflection? $1MM in saved engineering time at DataHub? These aren't vanity metrics, these are game-changing results.
🧠 The agentic reasoning approach - Finally, an AI that doesn't just search docs but actually understands the problem context and can analyze logs/telemetry.
💡 Multi-agent setup - Love that you can customize agents for different teams. Support, success, and sales all have different communication styles and needs.
The fact that you're trusted by companies like Databricks and Sourcegraph speaks volumes about the quality and reliability.
Quick questions:
How does it handle proprietary/sensitive codebases?
Any integration with popular ticketing systems like Zendesk/Intercom?
What's the learning curve for setting up custom workflows?
Definitely trying this out! The promise of giving engineers back 30% of their time to focus on what they do best is huge.
Congrats on the launch, Vikram! This could fundamentally change how technical support scales. 🚀
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.
Very useful information i feel totally satisfied i recommend to all.
RunLLM
@dedipta_roy Thanks Depidta! That endorsement means a lot to us, and we truly appreciate it!
RunLLM
@yun_gong1 Thanks, Yun. Looking forward to further feedback!
The future of AI is already here. The automation of complex processes is already common in the technological world. The progress made in all of science is incredible.
RunLLM
@miguel_m_ We are pushing the edge, increasingly getting toward agentic work with MCP, tool use and other techniques.
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!