LangGraph Learn combines a visual programming interface with an underlying Python SDK to help users build complex AI agent workflows as directed graphs. Each node represents a functional component such as prompt templates, model calls, conditional logic, or data processing. Users can connect nodes to define execution order, configure node properties through the GUI, and execute the pipeline step-by-step or in full. Real-time logging and debugging panels display intermediate outputs, while built-in templates accelerate common patterns like question-answering, summarization, or knowledge retrieval. Graphs can be exported as standalone Python scripts for production deployment. LangGraph Learn is ideal for education, rapid prototyping, and collaborative development of AI agents without extensive code.

Splotch transforms your written workflows into live, editable diagrams. By simply adding text, you can generate a diagram that syncs with your text, ensuring that your visual representations are always up-to-date. This makes it easy to visualize operations, map journeys, and see your system in action. Suitable for various professions, Splotch offers flexibility in editing, exporting, and sharing diagrams, making collaboration easier. It supports manual and AI-based editing, as well as integration with tools like Google Docs.