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Verco Persona API / Private beta

A point of view.
Built into AI.

Give an AI character a structured perspective on the world. Verco connects authored personas to how a model interprets a situation, reasons through it, and responds.

Private beta. Requests are reviewed manually.

The persona, in perspective
A composition of five AI persona portraits with fine wireframe details, from Verco’s existing artwork.
Illustrative AI personas · Verco’s existing character artwork

01 Structured persona definitions

02 Dialogue & constrained choices

03 Published method & limitations

01 / The approach

Character starts
before the first word.

A persona carries a worldview, priorities, and a voice. Verco makes those inputs explicit, then uses a staged pipeline to shape an interaction.

Author a persona. Compile a runtime definition.

A deterministic compiler turns structured persona data into summaries, behavioral inputs, interpretation cues, and voice settings.

Before the conversation
  1. 01

    Interpret

    Frame the situation through the persona’s perspective.

  2. 02

    Build context

    Summarize relevant recent conversation history.

  3. 03

    Reason

    Work through the situation with the persona’s priorities in view.

  4. 04

    Express

    Turn the result into a response in the persona’s voice.

Choice mode adds an exact-option selection step. These are software stages, not a claim of human cognition.

02 / The Persona API

One persona.
Two ways to interact.

Build a conversation, or ask a persona to choose from a defined set of options. Your application supplies the situation; the pipeline applies the persona.

Dialogue
A natural-language response in the persona’s voice.
Choice
An exact submitted option, with a separate spoken response.

The API requires issued credentials. Demo approval and API access are not an automatic self-service signup.

Request example
POST/api/pipeline/runKey required
{
  "personaId": "clara-bellamy",
  "mode": "dialogue",
  "userPrompt": "A teammate feels unprepared for an important meeting."
}

Dialogue returns a personaResponse for your application to display.

03 / Inside the private beta

A method you can explore.

The technical report describes three ways to explore persona behavior. Interactive access is limited to approved beta participants.

01 / Conversation

Meet a point of view.

Explore multi-turn dialogue shaped by an authored persona and recent conversation context.

02 / Blackjack

Put choices into play.

A play-money demonstration of persona-driven decisions within a bounded set of game actions.

03 / Decision Lab

Compare synthetic perspectives.

Ask AI personas to choose from supplied options. Results do not represent real people or population preferences.

Illustrations explain the experiences; they are not live outputs or measured results.

VERCO AITechnical report / 01

Verco Persona API

Method Architecture and
Private Beta Implementation

John Verco
October 2026
v1.0

04 / Published research

The architecture.
The evidence.
The open questions.

The technical report documents the implementation, its engineering evidence, and the work still to do.

Verco Persona API: Method Architecture and Private Beta Implementation

Version 1.020 October 2026CC BY 4.0
Read the published report DOI: 10.5281/zenodo.23509766

05 / Before you explore

A few things
worth knowing.

An experimental system, with its boundaries in the open.

How do I get demo access?

Submit a request on the demo site using your Google-account email. Requests are reviewed manually, and access is granted only if approved. Requesting access does not immediately unlock the demo.

Go to the access request
Are these personas models of real people?

They are synthetic AI personas, not validated psychological models. Their responses should not be treated as the views of a real person or as a representative sample of human preferences.

What does conversation memory mean here?

The pipeline uses bounded recent conversation history and a context-building stage. This is not a promise of unlimited memory or perfect consistency across interactions. The report describes caller-owned conversations and the current limits.

Is this ready for production use?

Verco Persona API is in private beta. Outputs can be inconsistent, and the implementation still has limits around history, replay metadata, reserved controls, and operational safeguards. Production reliability and comparative performance have not been established by the published report.

Can I use the API directly?

The API uses issued credentials. Include your intended integration in an access request; demo approval does not automatically provide an API key. The examples on this page explain the request shape and do not execute a request.

Private beta · Manually reviewed

Bring a use case.
Explore a perspective.

Request demo access

Use your Google-account email.
Approval is required before access.

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