Simplify complex LLM workflows visually — no coding required
FlowLM is a visual tool that allows you to build and optimize chains of Large Language Models (LLMs) with conditional logic—all without writing a single line of code.
Who Is FlowLM For?
Data Scientists and ML Engineers: Quickly prototype and iterate on complex LLM workflows without getting bogged down in code. Seamlessly integrate pre- and post-processing tasks.
Product Managers and Non-Technical Teams: Enhance your products and services with the power of LLMs, no dedicated development team required.
Why Use FlowLM?
Visual workflow builder: Design complex LLM chains using an intuitive interface similar to tools like Make.com and n8n.
Effortless conditional logic: Implement conditional pathways and logic between models with ease.
API endpoint creation: Turn any workflow graph into an API endpoint, allowing for easy integration with other systems and applications.
Integrated testing: Upload test datasets, run your workflows, and receive metrics to refine your models until they meet your quality standards.
Usage examples:
Automated content generation: An LLM generates topics based on user feedback, a second refines the content, and a third compiles it into a polished article.
LLM pipelines with conditional logic: One LLM gives a simple “yes” or “no” answer, and the next LLM is triggered based on the response.
Legal document processing: An LLM extracts key clauses from contracts, another LLM simplifies the language for easier understanding, and a third LLM checks for compliance issues.
Ecommerce: One LLM identifies a product category, and another LLM finds specific attributes based on that category.
Email automation for customer support: An LLM classifies incoming emails, another LLM extracts important details, and a third LLM drafts personalized responses.