Draft'n Run - Platform for AI Agents that is Open-Source

Draft'n Run is an open-source AI agent platform designed to facilitate the creation, deployment, and monitoring of production-ready AI workflows. It empowers developers, product teams, and AI agencies to transition from prototype to production efficiently, offering intuitive integration and scalability. The platform supports the development of AI chatbots, workflow automation, and enterprise-ready solutions without the need for coding.

1. Visual Workflow Builder

   Utilize a drag-and-drop interface to design complex AI workflows without any coding. This feature simplifies the process of creating sophisticated AI agents.

2. Real-time Testing

   Test your AI workflows in an interactive sandbox environment, allowing for immediate feedback and adjustments before deployment.

3. Comprehensive Observability

   Monitor AI operations with detailed execution analytics, performance tracking, and cost optimization recommendations to ensure reliable automation.

4. Open-Source Platform

   Enjoy complete control and transparency with an open-source framework that allows for self-hosting or managed cloud options, ensuring data ownership.

5. Enterprise-Grade Monitoring

   Benefit from industry-leading monitoring capabilities that provide visibility into AI operations, including error tracking and performance analytics.

6. Rapid Development and Deployment

   Deploy AI features in minutes rather than months, significantly accelerating the development cycle with pre-built templates and automated processes.

1. Visit the Draft'n Run website and sign up for an account.
2. Access the visual Studio to start building your AI workflows.
3. Utilize the drag-and-drop components to create your desired workflow.
4. Test your workflows in the interactive sandbox to ensure functionality.
5. Monitor your AI operations using the comprehensive observability tools provided.

What is Draft'n Run and how does it work?

Draft'n Run is an open-source AI agent platform that allows teams to design, deploy, and monitor AI workflows through a visual interface, eliminating the need for coding.

Do I need AI expertise to use Draft'n Run?

No, the platform is designed for users without dedicated AI engineering resources, making AI development accessible to a broader audience.

What LLM providers do you support?

Draft'n Run supports all major LLM providers, including OpenAI GPT, Anthropic Claude, Google Gemini, and Mistral, allowing for flexible integration.

How is Draft'n Run different from other AI platforms?

Unlike proprietary platforms, Draft'n Run offers an open-source solution with no vendor lock-in, focusing on production readiness and complete transparency.

Can I deploy Draft'n Run on-premise?

Yes, the platform can be deployed on your own infrastructure, providing full control over data privacy and security.

Price data is not available yet; please visit the official website for more information.

1. Draft'n Run excels in providing a user-friendly interface that allows non-technical users to create and deploy AI workflows efficiently.
2. The open-source nature of the platform offers significant advantages in terms of control and flexibility, appealing to organizations concerned about vendor lock-in.
3. While the platform is robust, users may require some initial guidance to fully leverage its capabilities, particularly in complex use cases.
4. Continuous improvements in documentation and user support could enhance the onboarding experience for new users.