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Draft'n Run

Draft'n Run

No-code studio for custom AI building and running

Website draftnrun.com
Overview

What it is

Draft'n run empowers teams to design, deploy, and monitor AI-powered features faster than ever. Transform complex AI integration into an intuitive, visual process with full transparency, control, and scalability.

Intent

I need it when

Monitor AI operations with complete transparency and cost control

The platform offers industry-leading observability including detailed execution tracing, real-time cost tracking by token and provider, performance analytics, and budget alerts. Users get full visibility into every AI operation with trace trees and custom metrics built-in from day one.

Integrate AI capabilities into existing SaaS applications quickly

Draft'n Run provides REST APIs and seamless integration capabilities, allowing teams to plug AI features into their SaaS products in minutes. The platform includes pre-built templates for common use cases and automated deployment processes.

Build and deploy production-ready AI agents and workflows without writing code

Draft'n Run provides a visual drag-and-drop Studio to design sophisticated AI workflows using pre-built components. Teams can deploy AI features in minutes instead of months, with no coding required, making it accessible to product managers and business users.

Test and validate AI workflows before production deployment

Draft'n Run includes an interactive Sandbox environment with comprehensive QA capabilities. Users can define test datasets, compare workflow versions, use LLMs as judges or deterministic metrics, and prevent regressions before shipping to production.

Maintain data sovereignty and avoid vendor lock-in

As an open-source platform, Draft'n Run can be self-hosted on-premise with Docker deployment, giving organizations complete control over data privacy and security. The platform supports all major LLM providers (OpenAI, Anthropic, Google, Mistral) with no vendor lock-in.

Drop

Not a fit when

  • User requires traditional low-code workflow automation without AI agent capabilities
  • Organization needs a fully managed, proprietary platform with guaranteed vendor support and SLAs (Draft'n Run is open-source with community support by default)
  • Team lacks technical infrastructure to self-host or manage Docker deployments on-premise
  • Use case requires pre-built industry-specific templates for non-AI workflows (platform focuses on AI agents and workflows)
  • Budget is extremely constrained and LLM provider costs cannot be absorbed (free tier has 1000 credits/day limit; beyond that requires LLM API keys)
Commercials

Pricing

Freemium with pay-as-you-go LLM usage; Enterprise custom pricing View pricing