Draft'n Run
Draft'n Run is an open-source AI agent platform that enables developers and product teams to visually build, deploy, and monitor production-ready AI workflows without coding through an intuitive drag-and-drop interface.
https://draftnrun.com/?ref=producthunt
Product Information
Updated:Oct 27, 2025
What is Draft'n Run
Draft'n Run is a comprehensive platform designed to streamline AI integration and development processes. It serves as a bridge between prototype and production for developers, product teams, and software/AI agencies, making AI development accessible to both technical and non-technical users. The platform emphasizes transparency, scalability, and complete control over AI operations while eliminating vendor lock-in through its open-source nature.
Key Features of Draft'n Run
Draft'n run is an open-source AI agent platform that enables teams to design, deploy, and monitor AI workflows without coding. It provides a visual drag-and-drop interface for building AI agents, comprehensive observability features including execution tracing and performance analytics, and enterprise-grade monitoring capabilities - all while maintaining data sovereignty and avoiding vendor lock-in.
Visual Workflow Builder: Intuitive drag-and-drop interface that allows users to design complex AI workflows and agents without writing code
Comprehensive Observability: Detailed execution tracing, real-time monitoring, performance analytics, error tracking, and cost monitoring with complete visibility into every AI operation
Enterprise-Grade Security: Self-hosting options and complete data ownership controls that meet strict security requirements for enterprise deployment
Open Source Architecture: Fully transparent platform that can be self-hosted anywhere with zero vendor lock-in
Use Cases of Draft'n Run
AI Chatbot Development: Building and deploying conversational AI agents for customer service and support automation
Content Discovery Solutions: Creating AI assistants to help users navigate and find relevant information in large content databases
Defense Consulting: Developing secure AI solutions with complete data sovereignty for sensitive defense applications
Pros
No coding required - accessible to non-technical users
Complete transparency and control over AI operations
Enterprise-grade security and monitoring capabilities
Open-source with self-hosting options
Cons
May require technical expertise for self-hosting
Limited information about pricing and support options
How to Use Draft'n Run
Access the Platform: Visit draftnrun.com and click 'Start Building for Free' to access the Studio or request a demo to see the platform in action
Use Visual Studio: Access the drag-and-drop Studio interface to start building AI workflows without coding. Use pre-built components for inputs, AI agents, tools, and outputs
Test in Sandbox: Use the interactive Sandbox environment to test your AI workflows in real-time before deployment
Configure AI Providers: Select and integrate your preferred LLM providers (OpenAI GPT, Anthropic Claude, Google Gemini, Mistral) or custom models
Build Workflows: Design multi-step AI workflows by connecting components in the visual interface for chatbots, automation, or agent systems
Monitor Performance: Use the comprehensive Observability features to track execution, analyze performance, monitor costs, and optimize your AI workflows
Deploy: Choose between self-hosting the open-source platform or using the managed cloud service for production deployment
Scale and Maintain: Leverage built-in DevOps tools and governance features to scale your AI workflows while maintaining full control and transparency
Draft'n Run FAQs
No, Draft'n Run is specifically designed for teams without dedicated AI engineering resources. It uses a visual Studio with drag'n drop components that makes AI development accessible to product managers, developers, and business users.
Draft'n Run Video
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