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<v Co-host>Why do the apps and algorithms we use every day seem to serve advertisers, platform retention and corporate metrics,

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<v Co-host>rather than what we actually want?

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<v Giovanni>Because of what the source calls the principal-agent problem.

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<v Giovanni>The flow today is you, then a platform, then an algorithm, then an outcome.

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<v Giovanni>The algorithm looks as if it serves you, but it also serves advertising revenue, engagement and third-party interests.

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<v Co-host>So if we generate all the data, how do we become the actual principal in that chain?

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<v Giovanni>Digital DNA's answer is the Agent of One:

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<v Giovanni>a private digital intelligence that represents an audience of exactly one person, you.

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<v Giovanni>The flow becomes you, your agent, the outcome. The agent knows only the information you authorise;

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<v Giovanni>it understands your objectives, preferences and permissions;

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<v Giovanni>and it works for you, not for the company providing the interface.

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<v Co-host>Let me put my skeptic's hat on. Concepts are easy.

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<v Co-host>How is that control actually enforced, without your so-called agent leaking my information everywhere?

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<v Giovanni>The site has a live, supported example: the permission workbench, at troo-ids dot com slash workbench.

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<v Giovanni>It uses fixture data, a week of calendar events, one private note and three fictional contacts,

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<v Giovanni>created in your browser tab. Nothing leaves the tab.

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<v Co-host>And what happens in it?

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<v Giovanni>Three steps. First, you grant a scheduling assistant one field only, calendar availability, under a rule called R-1.

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<v Giovanni>Second, it proposes three time slots from that one permitted read;

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<v Giovanni>its optional request for your calendar titles is refused, and the function still completes.

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<v Giovanni>Third, you revoke R-1, run it again, and it fails with "R-1 revoked".

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<v Giovanni>A policy engine sits between every function and the data: there is no default allow,

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<v Giovanni>and a readable trace, what was used, the objective, the rule, the result,

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<v Giovanni>is written before any data is returned.

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<v Co-host>Fair. But that workbench runs in a browser tab with sample data.

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<v Co-host>Is this a product I can download today, or is it theory?

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<v Giovanni>A bounded, honest answer: it is architecture, designed, not a finished product.

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<v Giovanni>What exists today is the website, the knowledge bundle, the workbench and a contact facility.

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<v Giovanni>There is no Agent of One you can download or use yet.

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<v Co-host>I appreciate the reality check. So what is the next step?

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<v Giovanni>Register your interest on the site;

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<v Giovanni>the team replies within two working days, and individuals are invited when a first cohort opens.

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<v Giovanni>And one thought to leave you with, from the same bundle: the pull economy. Permissionless sending, consensual receiving.

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<v Giovanni>A sender no longer buys permission from a platform to reach you;

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<v Giovanni>your agent decides whether a message gets your attention. Addressability is not delivery, and delivery is not attention.

