LlamaAgents Builder: From Prompt to Deployed AI Agent in ...

What’s Happening

Not gonna lie, Creating an AI agent for tasks like analyzing and processing documents autonomously used to require hours of near-endless configuration, code orchestration, and deployment battles.

LlamaAgents Builder: From Prompt to Deployed AI Agent in Minutes By Iván Palomares Carrascosa on in AI 0 Post In this article, you will learn how to build, deploy, and test a no-code document-processing AI agent with LlamaAgents Builder in LlamaCloud. Topics we will cover include: How to create a document-classification agent using a natural language prompt. (let that sink in)

How to deploy the agent to a GitHub-backed app without writing code.

The Details

How to test the deployed agent on invoices and contracts in the LlamaCloud interface. This article unveils the process of building, deploying, and using an intelligent agent from scratch without writing a single line of code, using LlamaAgents Builder .

Better still, we will host it as an app in a software repository that will be 100% owned by us. We will complete the whole process in a matter of minutes, so time is of the essence: lets get kicked off.

Why This Matters

Building with LlamaAgents Builder LlamaAgents Builder is one of the newest features in the LlamaCloud web platform, whose flagship product was originally introduced as LlamaParse . A slightly confusing mix of names, I know! For now, just keep in mind that we will access the agents builder through this link .

The AI space continues to evolve at a wild pace, with developments like this becoming more common.

The Bottom Line

If this is not what you see, try clicking the LlamaParse icon in the top-left corner instead, and then you should see this at least at the time of writing. LlamaParse home menu Notice that, in this example, we are working under a newly created free-plan account, which allows up to 10,000 pages of processing.

Is this a W or an L? You decide.