How to Build Autonomous Agents using Prompt Chaining with AI Primitives (No Frameworks)

Autonomous agents are AI systems capable of making decisions and taking actions independently using large language models (LLMs), tools, and memory. This tutorial emphasizes building these agents using AI primitives without relying on heavy frameworks. By leveraging Langbase’s agentic architecture called prompt chaining, tasks are segmented into sequential prompts, enhancing the ease of debugging and output quality. It walks through setting up a TypeScript Project with Langbase SDK to create a prompt chaining agent for transforming raw product descriptions into refined marketing copy.