RunLLM: The AI Support Engineer

RunLLM: The AI Support Engineer

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RunLLM is an AI-powered technical support engineer that learns product documentation, code, and customer interactions to provide instant, accurate, and trustworthy support across multiple channels while reducing workload for support teams.
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RunLLM: The AI Support Engineer

Product Information

Updated:Aug 9, 2025

What is RunLLM: The AI Support Engineer

RunLLM is the industry's first AI Support Engineer, designed specifically for complex technical products and developer tools. Founded by PhDs and Professors from UC Berkeley's Computer Science Department, RunLLM goes beyond traditional chatbots by combining deep domain expertise, multi-step problem solving, and real-time code validation. The platform transforms fragmented knowledge bases into a sophisticated, continuously updated knowledge graph that can be deployed wherever teams and users work - whether through Slack, Zendesk, documentation sites, or other channels.

Key Features of RunLLM: The AI Support Engineer

RunLLM is an AI-powered Support Engineer platform that combines deep domain expertise, multi-step problem solving, and real-time code execution to provide accurate technical support. It learns from documentation, support tickets, APIs, and code to deliver precise, contextual answers while integrating seamlessly with existing tools like Slack, Zendesk, and Discord. The platform uses fine-tuned LLMs and knowledge graphs to handle complex technical queries, validate solutions, and provide continuous learning capabilities.
Deep Domain Expertise: Specialized training on product documentation, APIs, and support history to create a unified knowledge base that delivers expert-level technical support
Multi-Channel Integration: Seamlessly integrates with existing tools like Slack, Zendesk, Discord, and documentation sites to provide support wherever users need it
Intelligent Problem Solving: Uses agentic planning and multiple LLMs to break down complex issues, validate solutions, and provide step-by-step resolution with code validation
Continuous Learning & Analytics: Automatically updates knowledge base and provides insights on documentation gaps, user behavior trends, and areas for product improvement

Use Cases of RunLLM: The AI Support Engineer

Open Source Project Support: Helps open-source projects like vLLM handle thousands of monthly support queries while maintaining high accuracy and reducing maintainer workload
Enterprise Technical Support: Assists companies like Corelight in handling complex configuration, tuning, and integration support tickets while reducing response times by 30%
Developer Platform Documentation: Helps API-first companies improve developer experience by providing instant, accurate answers about their tech stack and documentation

Pros

Significantly reduces support team workload (up to 25-30% time saved)
Provides highly accurate and trustworthy responses with citation backing
Seamlessly integrates with existing tools and workflows
Offers valuable analytics and insights for product improvement

Cons

Requires initial setup and data ingestion effort
May need regular monitoring and fine-tuning for optimal performance

How to Use RunLLM: The AI Support Engineer

Request Access: Fill out the access request form on RunLLM's website to get started with the beta version
Provide Documentation Source: Provide a link to your product documentation, which RunLLM will use as the initial knowledge base to build your AI Support Engineer
Knowledge Base Ingestion: RunLLM ingests and processes your docs, APIs, guides, code examples, support tickets and other materials to build comprehensive product expertise
AI Model Training: RunLLM trains a customized AI model specifically for your product using agentic RAG and fine-tuning techniques to ensure precise and reliable answers
Validate the AI Agent: Test the trained AI Support Engineer live to verify its accuracy and capabilities in answering product-specific questions
Integration Setup: Configure RunLLM to integrate with your preferred platforms like Slack, Discord, Zendesk, or your documentation site
Deploy the AI Support Engineer: Launch the validated AI agent across your chosen channels to begin providing 24/7 automated technical support
Ongoing Optimization: Monitor performance and continuously update the knowledge base to improve answer quality and coverage over time

RunLLM: The AI Support Engineer FAQs

RunLLM is an AI Support Engineer built for complex technical products that helps resolve customer issues faster and more accurately. It combines search, knowledge graphs, and fine-tuned LLMs to deliver expert answers for technical support.

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