Autonomous agents might sound complex, but they don’t have to be. These are AI systems that can make decisions and take actions on their own to achieve a goal – usually by using LLMs, various tools, and memory to reason through a task. You can build ...

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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.

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

Building a Prompt Chaining Agent using Langbase Pipes