Draft'N Run

Draft'n run is a Workflow Automation tool that helps SaaS teams design, deploy, and monitor AI agents and workflows. It offers a visual builder for no-code development and comprehensive observability for production-ready AI features.

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At a glance

Pricing

Freemium · Enterprise · Open Source · Usage-based

Free tier

Yes

API

Yes

Skill level

Mixed

About

What is Draft'n run?

Draft'n run is an open-source AI agent platform designed for SaaS teams to build, deploy, and monitor production-ready AI workflows and agents. It features a visual drag-and-drop builder, allowing users to create complex multi-step workflows without coding. The platform emphasizes complete transparency and control, offering real-time testing, comprehensive observability with detailed execution analytics, cost optimization, and performance analytics. It supports self-hosting for data ownership and control, or a managed cloud option. Draft'n run accelerates AI feature deployment from months to minutes, providing an interactive sandbox for testing, automated QA, and integration via REST APIs. It caters to both business teams for rapid prototyping and data teams for governed, observable AI use cases.

Best used for

Ideal for SaaS teams who need to rapidly design and deploy AI features, ensure robust monitoring and observability, and maintain control over data and costs. Especially valuable for organizations seeking to build production-ready AI workflows without vendor lock-in or extensive coding, and for those requiring on-premise deployment options.

Common actions

design AI workflows

deploy AI features

monitor AI agents

automate AI processes

test AI applications

Capabilities

Key features

Visual workflow builder
Real-time testing
Complete observability
Cost optimization
Open-source platform
REST APIs integration
Quality assurance testing

Target Audience

product managerdeveloperstartup founderdata scientist

Integrations

Not yet documented

Pricing & Plans

Freemium · Enterprise · Open Source · Usage-based

Free + LLM usage. Get started with open-source platform and pay only for what you use with transparent LLM provider costs.

FAQs

What LLM providers does Draft'n run support?

Draft'n run supports major LLM providers including OpenAI GPT, Anthropic Claude, Google Gemini, and Mistral. It also allows integration of custom models and on-premise deployments, ensuring a provider-agnostic platform with no vendor lock-in.

Can Draft'n run be deployed on-premise?

Yes, as an open-source platform, Draft'n run supports on-premise deployment using Docker. This provides users with complete control over data privacy, security, and compliance, which is crucial for organizations with strict requirements.

What kind of monitoring and observability features does Draft'n run offer?

Draft'n run provides comprehensive observability including detailed execution tracing with OpenTelemetry, real-time cost optimization with token usage tracking, performance analytics for bottleneck identification, and intelligent monitoring with custom metrics and alerts for failures and anomalies.

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AI Agents & Automation › AI Frameworks & Infra Coding & Development › DevOps & Infrastructure

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