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RunLLM Overview

RunLLM is an AI-powered support engineer that saves your team time, accelerates customer adoption, and generates insights that help you better understand your customers. RunLLM is purpose-built for highly-technical product and focuses on delivering the highest quality answers and insights possible. RunLLM goes far beyond a basic chatbot by checking in with users, validating code, and sharing alternative solutions — all to maximize the chances that your users are successful.

Like a good support engineer, RunLLM starts by learning everything it can about your product — product documentation, guides, APIs, past support tickets, and more are all fair game. Using a mix advanced data engineering, fine-tuned language models per-customer, and and multi-LLM agents, RunLLM uses that expertise to provide precise answers and customer insights.

  • Save Time: Automate support processes to reduce workload for support and engineering teams.
  • Improve Customer Experience: Provide instant, accurate answers to enhance customer satisfaction.
  • Generate Deeper Insights: Insights from customer conversations can help you improve your product and documentation and better undersatnd customer needs.

Key Features​

  • Precise Answers: RunLLM provides the accurate, contextually appropriate responses that technical users need while avoids guessing or hallucinations.
  • Instant Learning: If RunLLM gets an answer wrong, you can teach it the right answer immediately. It will even tell you why it got the answer wrong and whether it found issues in your documentation.
  • Followups: Rather than stopping at a single answer, RunLLM does everything it can to make sure your users are successful — searching the internet, sharing alternative solutions, and regular check-ins.
  • Code Execution: Technical answers often involve complicated code. When RunLLM generates an answer, it can execute the code in the background for validation and debug any issues that come up.
  • Data Connectors: RunLLM has a variety of pre-built data connectors that allow you to teach it everything you can about how your product works.
  • Flexible Deployment: Deploy to Slack, Discord, Zendesk, or embed on your website. You can also use the RunLLM API to build custom experiences.
  • Insights and Analytics: Topic modeling, documentation improvement suggestions, and weekly summary digests.

Use cases​

Support and product teams use RunLLM in two ways:

  1. Autonomous support agent: Most commonly, RunLLM is a resource that's available to your customers. They can come to RunLLM (on your documentation site, via support Slack channels, etc.), ask RunLLM a question, and receive an answer within seconds to unblock themselves.
  2. Support copilot: Support teams looking to improve their ticket resolution rate use RunLLM to auto-generate answers (via Slack, Zendesk, etc.) that can be edited before being sent out to customers.

Why RunLLM​

  • Reduced Workload: Automate routine inquiries to save time for support and engineering teams.
  • Higher Ticket Deflection: Empower customers to self-serve, reducing the number of support tickets.
  • Faster Response Times: Decrease mean time to resolution, enhancing customer satisfaction and team efficiency.