Draft'n Run

Draft'n Run is an open source AI agent platform designed to help developers, product teams, and software and AI organizations quickly put AI prototypes into production. Its importance lies in breaking down the technical barriers to AI development and allowing non-professional AI personnel to easily participate. Key benefits include code-free development, visual workflow construction, real-time testing, full-process observability, and enterprise-level monitoring. The background of the platform is to solve the complex, opaque and high-cost problems in the AI ​​development process. In terms of price, it is free to use and suitable for companies and teams with AI development needs. Positioning is to become a comprehensive, transparent and easy-to-use AI development and deployment platform.

Demand group:

["Developers: Without deep AI expertise, AI functions can be quickly built and deployed through visual interfaces, improving development efficiency.", "Product teams: can intuitively design and adjust AI workflows to better meet business needs and promote product innovation.", "Software and AI organizations: can quickly put AI prototypes into production, reduce development time and costs, and improve competitiveness.", "Enterprise users: can deploy complex AI agents to automate workflows, improve operational efficiency, while ensuring data security and transparency."]

Example of usage scenario:

INDY Company: The original AI chatbot had poor performance. After using Draft'n Run , it quickly exceeded the performance target, achieved cost savings and enhanced customer confidence.

CAPADYN Company: In defense consulting work, the local deployment capabilities of the platform are used to meet strict security requirements and achieve effective utilization and value-added of information.

Cogiterra: Using Draft'n Run 's AI assistant, it solved the navigation problem of 44,000 articles, improving user experience and content value.

Product features:

Visual workflow construction: Design complex multi-step AI workflows by dragging and dropping components without writing code, lowering the development threshold and improving development efficiency.

Real-time testing: Supports real-time testing of AI workflows to ensure problems are discovered and solved before deployment and ensure the reliability of AI automation.

Full-process observability: Provides comprehensive tracking and monitoring, including detailed execution analysis and cost optimization suggestions, helping users understand the full picture of AI operations.

AI chatbot and agent AI: Support the construction of AI chatbot and agent AI to realize automated workflow and improve user interaction experience.

Open source platform: Completely open source, users can host it themselves, avoid vendor lock-in, and have full data ownership and control.

Enterprise-level monitoring and security: Provide enterprise-level monitoring and security from day one to ensure the stable operation of AI workflows.

Rapid development and deployment: The ability to deploy AI functions in minutes instead of months, greatly shortening the development cycle.

Complete AI observability: Industry-leading monitoring and tracking capabilities, enabling end-to-end request tracking and data lineage tracking.

Usage tutorial:

1. Access the platform: Open the website https://draftnrun.com/en/, register and log in to your account.

2. Design workflow: Use the visual workflow builder to design AI workflows by dragging and dropping components.

3. Test workflow: Perform real-time testing of the designed workflow in an interactive sandbox.

4. Monitoring and optimization: Use full-process observability tools to monitor the execution of workflows and optimize based on analysis results.

5. Deploy workflow: Deploy the tested workflow to the production environment. You can choose to host it yourself or use the platform's cloud service.

6. Integration and extension: Integrate workflow into existing systems through REST APIs and extend and customize as needed.