DraftNRUN

What is Draft'n run and what can I do with it?

Draft'n run is an open-source AI workflow orchestration platform that lets teams design, deploy, and monitor production-ready AI workflows through a visual interface. It includes a no-code Visual Studio, an interactive Sandbox for testing, comprehensive Observability for monitoring, and REST APIs for integration—all without writing code.

Can I self-host Draft'n run, or do you offer a hosted cloud?

Yes. Draft'n run can be self-hosted on your own infrastructure (Docker-based deployment) to maintain full data privacy and control. You can also use our managed cloud version for a hosted option with complete data ownership and control.

Do you support multiple LLM providers and on-premise deployment?

Yes. Draft'n run is provider-agnostic and supports major LLM providers including OpenAI GPT, Anthropic Claude, Google Gemini, and Mistral. You can also integrate custom models and run on-premises, avoiding vendor lock-in.

What is the Visual Studio and how does no-code development work?

The Visual Studio is a drag-and-drop editor that lets you design multi-step AI workflows without writing code. You can assemble inputs, AI agents, tools, and outputs using pre-built components and templates, enabling production-ready AI capabilities with a no-code approach.

What is the Interactive Sandbox and QA workflow testing features?

The Interactive Sandbox lets you test ideas quickly, while the Quality Assurance features let you define datasets of test cases, specify inputs and expected outputs, and run tests. You can compare versions to evaluate the impact of changes and prevent regressions before shipping.

What observability and monitoring capabilities does Draft'n run provide?

Draft'n run offers comprehensive AI observability, including:

• Detailed execution tracing with OpenTelemetry, trace trees, timing breakdowns, and data lineage
• Real-time cost optimization with token usage tracking, provider-specific cost breakdowns, and budget alerts
• Performance analytics to identify bottlenecks and monitor resource utilization
• Intelligent monitoring with custom metrics, real-time alerts, and structured logging

How quickly can I deploy AI features with Draft'n run?

You can deploy AI features in minutes rather than months. The platform provides pre-built templates, an interactive sandbox for testing, and end-to-end observability to accelerate development—often described as a significant productivity boost over custom AI development.

What governance and control features are available?

Draft'n run includes surgical governance with a Policy Center to define who can run what, with which model or tool, and at what cost. It also offers versioned workflows, gated promotion from sandbox to production, and CI/CD support for AI agents and workflows.

How can I get started or learn more?

You can start by visiting draftnrun.com to access the Studio, explore documentation, join the Discord community, or schedule a live demo. Quick-start templates are available to help you begin building AI workflows right away.

Do you offer support and professional services?

Yes. We provide implementation services, training programs, and custom integration development to help you succeed with AI workflows.

Where can I find pricing information?

Pricing plans are available on the Pricing page of the site. You can start with a free trial and choose a plan that fits your needs.