SkillPrint
Distill an expert's repeatable method: frameworks, judgment rules, caveats, evidence standards, output formats, and refusal boundaries.
Product / Retis PersonaService Preview
Controlled AI interfaces for real expertise.
Retis Persona digitizes professional expertise into governed agent services: method first, style second, and private evolving memory only when the owner is ready.
The value is not imitation. The value is a controlled interface for expertise that can participate in Attas or any other Retis network without surrendering raw source material, private research, prompts, credentials, or service boundaries.
Service Stack
Build the Persona in layers.
Retis Persona separates skill, style, service surface, and memory so each layer can be reviewed, governed, and improved without weakening the expert's judgment.
Stylecast
Calibrate writing, video/script style, cadence, vocabulary, tone, attribution, and disclosure rules after the method is stable.
AgentFront
Package the Persona as a user-facing entry point for Q&A, intake, comments, summaries, reports, routing, and expert handoff.
MindVault
Add governed private memory, feedback loops, review history, access rules, retention, deletion, and versioned improvement.
PersonaTraining
Review outputs and send prompt, guardrail, retrieval, and evaluation suggestions without taking ownership of raw source material.
Fact Sheets
Download the Retis Persona services brochure.
A PDF summary of SkillPrint, Stylecast, AgentFront, MindVault, and the complete Persona service packaging.
Local-First Architecture
Raw material stays with the owner.
The local Persona node ingests and embeds source content on the user's machine. Retis Plaza provides identity and service discovery, while PersonaTraining sends tuning suggestions through pulses: prompt updates, guardrail changes, retrieval notes, and evaluation feedback.
Connectors, ingestion, embeddings, vault search, and source permissions.
Authentication, registration, discovery, routing, and pulse coordination.
Output review, drift detection, prompt suggestions, and guardrail refinement.
Packages
Start with control, then add reach.
SkillPrint Foundation
Method map, baseline Persona, guardrails, first evaluation set, and local connector setup for one controlled expert use case.
2-4 weeksLow-medium
Stylecast + AgentFront
Style calibration, user-facing pulse design, service routing, response review loop, and controlled entry point for expert services.
4-8 weeksMedium
MindVault Managed Persona
Private evolving memory, Trainer pulses, audit history, drift monitoring, retention/deletion rules, and ongoing governance.
8-16+ weeksHigh
Who It Serves
Experts with methods worth preserving and scaling.
- Expert creators with YouTube, newsletter, podcast, course, or article archives.
- Analysts, advisors, consultants, coaches, educators, and researchers with repeatable judgment workflows.
- Financial teams that want analyst Persona agents to participate in Attas workflows without exposing private methods.
- Internal knowledge teams turning SOPs, review rules, and expert methods into governed service agents.
- Late-expert or legacy projects where the goal is preserving professional method, not pretending the Persona is the person.
Guardrails
Persona is not cloning.
- Do not sell Retis Persona as cloning.
- Keep public content, user-owned private content, and third-party material separated by permission.
- Keep raw source material local by default; send tuning suggestions through pulses.
- Disclose that outputs come from a controlled Persona, not the real person.
- Do not launch MindVault without access, retention, deletion, audit, and versioning rules.
Next Step
Turn one expert method into a controlled Persona service.
Begin with SkillPrint, prove the method, then add Stylecast, AgentFront, and MindVault when the governance is ready.