In this video, we’ll walk through how to build a personalized fitness plan generator using Langflow and a no-code/low-code platform like Replit. You’ll see how to collect structured user input, generate weekly training plans with an LLM, and deploy it into a full working app—with just one prompt.
🔧 What We Built:
✅ A Langflow agent that takes goals + profile info
✅ Structured JSON output (fitness targets + workout plan)
✅ API integration with Replit for full UI + app logic
🚀 What You’ll Learn:
📥 How to take multiple user inputs (goal, profile, notes)
🤖 Use structured output and schema definition in Langflow
🔗 Connect Langflow API to Postman to test
⚡ Deploy to Replit and prompt the agent to generate the entire app
💡 Debug, iterate, and improve using Replit’s built-in plan + code tools
🧪 Tools Used:
🔹 Langflow (Agent, PromptInput, Structured Output)
🔹 Groq LLM for fast generation
🔹 Postman for API testing
🔹 Replit Agent for frontend scaffolding
💬 Want to try it?
Try Langflow for free → https://langflow.org
Langflow Docs → https://docs.langflow.org
Join the Community → https://discord.gg/EqksyE2EX9
Star us on GitHub → https://github.com/langflow-ai/langflow
Happy building 💪