RunLLM

RunLLM is an AI platform built on 10 years of UC Berkeley research, designed for enterprise-ready technical support. It reads logs, code, and documentation to resolve complex support issues, debug code, and deflect tickets with expert answers at scale. The platform provides AI Support Engineers that learn comprehensively from an organization's docs, code, and customer conversations, delivering highly precise and trustworthy answers. It integrates with various tools like Slack, Zendesk, and Docs, and is capable of generating validated code, proactively updating documentation, and ensuring user success through follow-ups and smart escalations. RunLLM aims to significantly save engineering time, cut Mean Time To Resolution (MTTR), and deflect a high percentage of support tickets.

## How to Use

To use RunLLM, users can provide a link to their documentation, and the platform will instantly begin building their AI Support Engineer. The trained agent can then be validated and deployed across various channels like Slack, Discord, Zendesk, or the company's documentation site to deliver instant, accurate support.

## Key Features

- Resolving complex technical support issues - Debugging code and analyzing logs - Deflecting support tickets with expert answers - Comprehensive learning from docs, code, and customer conversations - Generating validated code and proactive documentation updates - Integration with existing support tools (Slack, Zendesk, Docs) - Customizable AI agents with distinct tone and behavior

## Use Cases

- Automating resolution of complex technical support issues for customers. - Reducing Mean Time To Resolution (MTTR) for customer inquiries. - Deflecting a high percentage of incoming support tickets. - Improving documentation by identifying gaps and proactively updating. - Scaling support operations without increasing headcount. - Providing continuous insights from support interactions to pinpoint product improvements. - Generating and testing code tailored to customer environments.