Draft'n Run
Draft'n Run is a visual AI builder with a drag-and-drop interface for designing, deploying, and monitoring production-ready AI workflows with real-time testing and full data ownership.
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Key Features
Visual Workflow Builder
Drag-and-drop interface to design complex AI workflows easily.
Interactive Sandbox
Test AI workflows in real-time before deployment.
Enterprise Monitoring
Comprehensive tracing and performance analytics for AI operations.
Open-Source Framework
Self-host or use managed cloud with full data control.
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Why Choose Draft'n Run
No-Code Builder:
Create AI workflows visually without programming skills.Open-Source:
Avoid vendor lock-in with a self-hosted, transparent platform.Full Observability:
Monitor AI workflows with detailed tracing and cost analytics.
Pricing
Draft'n Run offers managed cloud and self-hosted options. Detailed pricing plans are available on their pricing page. Contact them for enterprise and custom plans.
About Draft'n Run
Draft'n Run is a visual AI builder with a drag-and-drop interface for designing, deploying, and monitoring production-ready AI workflows with real-time testing and full data ownership.
What Draft'n Run Does
Draft'n Run allows users to design and deploy AI workflows and agents using a visual drag-and-drop interface without coding. It benefits teams by accelerating AI development and enabling easy automation of complex tasks.
The platform features interactive sandboxes for real-time testing, comprehensive monitoring with detailed execution tracing, cost optimization tools, and supports integration with major LLM providers. Its open-source architecture ensures no vendor lock-in and full data ownership.
Industries such as SaaS, customer support, and enterprise automation use Draft'n Run to build AI chatbots, agentic AI, and custom AI workflows efficiently.
Pros & Cons
User-Friendly
Accessible to non-technical users with no coding required.
Data Control
Complete ownership and transparency over AI workflows and data.
Learning Curve
Complex workflows may require time to master the visual builder.
Limited Pricing Info
Detailed pricing requires contacting sales or visiting the pricing page.
Frequently Asked Questions
Draft'n Run is an open-source platform for designing and deploying AI workflows via a drag-and-drop visual interface without coding.
No, it is designed for users without AI engineering skills, enabling product teams and business users to build AI workflows visually.
It supports all major providers including OpenAI GPT, Anthropic Claude, Google Gemini, Mistral, and custom or on-premise models.
Yes, as an open-source platform, it supports Docker-based self-hosted deployment for full data control.
It offers detailed execution tracing, real-time monitoring, performance analytics, error tracking, and cost optimization tools.
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