INTERACTIVE WALKTHROUGH

How agents get trust

A 5-minute interactive walkthrough using a film-production analogy to explain why AI agents need more than OAuth — and what Auth51 does about it.

Act 1 of 6|The Setup

The story behind this scene

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A major film studio is producing a blockbuster.

A major film studio is producing a blockbuster. The production involves dozens of crew members — directors, coordinators, assistants — each authorized to make specific purchases and decisions on behalf of the studio.

The studio needs a system to authorize crew members to interact with vendors (equipment rental, catering, locations) while maintaining control over budgets, scopes, and audit trails. But here's the twist: the crew members are AI-powered. They reason on the fly, pick vendors dynamically, and make decisions the studio didn't explicitly pre-approve.

This is exactly the problem enterprises face deploying AI agents. OAuth was built for deterministic apps following fixed code paths. But LLM-powered agents generate dynamic workflows through reasoning — selecting tools and APIs on the fly. The question becomes: how do you verify not just who the agent is, but that it's running approved code and acting within its intended scope?

Context
OAuth 2.0 assumes the client faithfully executes the resource owner's intent. That assumption breaks when an LLM generates the workflow dynamically.
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