May 16
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In this episode of Building SaaS, we take a big leap — from simple tool calling to building a real agent system using LangGraph. You’ll learn how to move beyond basic LLM responses and create an application that can think, decide, and take actions. 🔥 What You’ll Learn What tools are and how they extend LLM capabilities How to create your first tool to fetch customer data How LLMs decide when to call tools How to manually handle the tool-calling loop How to convert that logic into a LangGraph workflow How to build your first structured AI agent 🔔 Stay Connected If you're building AI, SaaS, or agent systems—this series is for you. 👉 Subscribe for more deep-dive engineering content @BuildingSaaS #aiengineering , #agenticai , #aiagents , #buildsaas , #saasdevelopment , #saasarchitecture , #aisaas , , #llmapplications , #aiworkflows , #aiautomation , #langgraph , #multiagentsystems , #aiagentframework , #aisystemdesign , #ragarchitecture , #productionrag , #aiinfrastructure , #vectordatabase , #aidatapipelines , #fastapi , #backendarchitecture , #microservicesarchitecture , #apidevelopment , #cloudarchitecture , ,#softwarearchitecture , #developertutorials , #buildaiprojects , #aideveloper