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Multi-agent systems are having a bit of a moment. And rightly so. They solve problems that single-agent chatbots can’t touch—problems like real document analysis, repeatable workflows, and nuanced comparisons. Let’s take a painfully familiar one: NDAs. We get sent loads. And all we want—all anyone wants—is a clear answer to a simple question:

“Is this one different from our standard, and if so, how?”

Here’s how we do it using a multi-agent flow in the Great Wave AI platform:

The workflow:

1. Base Case Agent- Reads our standard NDA and extracts summaries of the key clauses.

2. Incoming NDA Agent- Does exactly the same thing—but on the document we’ve just been sent.

3. Comparison Agent- Lines them up side-by-side and flags anything that doesn’t match. That’s it. Three agents. One flow. One button. I type “Go” and the system handles the rest. Could you build this with a single, mega-prompt? Sure. But it won’t work as well.

Why multi-agent wins:

When you try to jam everything into one prompt, you lose granularity. And worse—you lose precision. If one NDA mentions intellectual property ten times and the other only once, guess what the model does? It ignores the outlier. That lone clause might be the one that says they own your product. And it vanishes because the model’s statistical bias thinks it’s less important. That’s the problem with one-shot prompts. They’re not workflows. They’re educated guesses. With a multi-agent approach, each task is handled by a specialist. They operate in sequence. They pass clean data between them. And crucially—you can see what’s happening at each step. That’s not just better tech. That’s trust-by-design.

If you’re still handing NDAs to legal and waiting a week for them to say, “Looks fine,” there’s a better way. And it doesn’t involve replacing your lawyer—it just means they don’t have to read 17 pages of boilerplate to spot one rogue clause. NDAs are just the beginning. Contracts, procurement reviews, risk assessments—the same architecture applies.

One flow. Clear roles. No guesswork. That’s what multi-agent AI should look like.