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AI operating system for car dealerships with voice AI, a smart inbox and agents that capture leads and lift service revenue.
Free tool that auto-generates conversational, browsable documentation for any public GitHub repo, from the makers of Devin.
Open-source AI coding agent for VS Code, JetBrains, CLI and cloud, with 500+ models at zero inference markup and BYOK.
Bundle of eight AI tools (chat, search, image/video, chatbots, workflows) under one subscription and shared credits.
No public pricing
No public pricing
No public pricing
Free trial available
Free trial available
- ✦Lifelike voice AI agents
- ✦24/7 availability
- ✦Customer-led conversational platform
- ✦Integration with enterprise systems
- ✦Voice AI with full customer context
- ✦AI-native Smart Inbox across channels
- ✦LiveCSI real-time satisfaction monitoring
- ✦Service Advisor Agent
- ✦Heat Case and Opportunity Agents
- ✦Mobile app
- ✦AI-generated documentation for GitHub repos
- ✦Conversational Q&A about a codebase
- ✦Browsable index of popular repositories
- ✦Deep code indexing via Devin
- ✦500+ AI models at zero inference markup
- ✦Bring-your-own-keys and local model support
- ✦MIT-licensed, fully open source
- ✦Works in VS Code, JetBrains, CLI and cloud
- ✦Agent modes (Code, Architect)
- ✦Parallel isolated worktrees
- ✦Slack code reviewer and gateway
- ✦Eight AI products in one account
- ✦Shared credit pool across tools
- ✦Multi-model AI chat (50+ models)
- ✦Image, video and motion generation
- ✦Chatbot builder (web and WhatsApp)
- ✦Visual AI workflow automation
- →Answering customer service calls
- →Providing information and support
- →Resolving customer issues
- →Automating call center operations
- →Answering dealership calls and messages
- →Rescuing and booking service leads
- →Resolving customer complaints (heat cases)
- →Boosting service-advisor productivity
- →Understanding an unfamiliar codebase quickly
- →Onboarding to open-source projects
- →Answering questions about repo internals
- →Writing and refactoring production code with AI
- →Planning features before implementation
- →Running agents across multiple IDEs and the CLI
- →Consolidate multiple AI subscriptions
- →Generate content, images and video
- →Build and deploy chatbots
- →Automate AI workflows