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How Malleable compares

Malleable vs. AI teammates

Lindy and Coworker take requests in chat and work out the steps each time. In Malleable, your team sets the steps, and the AI uses judgment only where you allow it.

The main difference

Who decides what happens next?

Say a supplier emails an invoice, and the price is higher than on the purchase order. Here's what happens next in each case.

Open-ended agents

You give an AI agent instructions and tools. It works out the steps itself, every run.

With that invoice

The agent starts fresh each time, reading the invoice and deciding what it should run. It sometimes has notes for itself, but each run can influence another and there's no audit trail along the way.

Malleable

Your team says which steps always run the same way and where the AI can use judgment. One agent follows those steps for the whole run.

With that invoice

Matching the invoice to the purchase order runs the same way every time. The AI decides whether the new price looks like a mistake, using your price list. Anything over a set amount goes to the controller, as a form with the invoice, the purchase order and a recommendation.

Side by side

How they compare

Each row is something you can check in a demo, or in the other tool's docs.

Fixed steps and AI judgment
AI teammates
The AI works out every step, on every run.
Malleable
An AI agent runs the whole operation and works out cases nobody planned for. Your team locks the steps that must run the same way every time.
People outside your company
AI teammates
Built for the people in your workspace.
Malleable
Anyone can answer from a secure link, with no account.
Cost at volume
AI teammates
Every run works out the steps again.
Malleable
The steps are worked out once, so each run uses smaller, cheaper models.

When to choose Malleable

  • The work crosses teams and waits on people, inside or outside your company.
  • The same work comes up again and again, and parts of it need judgment.
  • The people who run it need to change it themselves.
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