The three-layer decision model

Autonomy is useful right up until it does something you can't take back. The hard design question for any AI product isn't "how much can it do," it's "where does a human have to stay in the loop."

Euler answers that with three layers that every action passes through.

1. Deterministic guardrails

First, the things that should never pass get caught by code, not a model: duplicates, malformed input, broken schemas, anything touching a hard-excluded category like moderation or billing. No judgment required, and no judgment allowed.

2. AI evaluation

Then the heavy lifting: Euler evaluates, synthesizes, clusters, and drafts. This is where the agent does the analysis a person would otherwise spend hours on.

3. Human override

Finally, you. Edit, approve, dismiss, annotate. The agent proposes; you commit. Always.

Most tools bolt AI on. For Euler, this model is the product.

It's also why autonomy can grow safely over time. As an action type earns a track record of approvals, you can hand it more rope, inside rails you set, and pull it back the moment it surprises you.