Faceless translucent humanoid sculpture with a fully visible golden anatomical heart above an open book
The heart of AI

HOW IT WORKS

Your business context. Better questions.

Bring domain knowledge you own or license, company values and customer context into expert-guided AI experiences. Define sources, review and independent permissions around your business use case.

FOUR LAYERS

Four connected layers. Authority stays with people.

Define rights to your expert knowledge, the sources your experience uses, and how company values and customer context inform recommendations. Independent permissions govern integrated actions.

  1. 01 · Your configuration

    Super Identity

    Choose how your identity and expertise are used

  2. 02 · Your configuration

    Super Data

    Bring trusted knowledge with clear attribution

  3. 03 · Your configuration

    SuperEthos

    Give recommendations human context and values

  4. 04 · Your configuration

    Super Control

    Set independent permissions for connected actions

More faithful representation. Keep the person behind the knowledge visible. Clear sources and usage choices help protect attribution and prevent unwanted endorsements.

Review informs; permissions decide. Build your values into recommendations. Bring uncertain requests to a person, while independent permissions govern connected actions.

Further reading: “Rogue AI Agents: Is a Kill Switch Enough?” — Entrepreneur, Brand Spotlight ↗.

EXAMPLE CONFIGURATION

Share the teaching.
Keep the expert’s intent.

One expert, different audiences. See how context shapes a response and permissions determine where it can go.

SourcePublic teaching notesContextAdult learning communityJudgmentAPPROVED

  1. 01Super Identity

    Rights & sources

    Rights holder
    Example educator
    Permitted scope
    Attributed motivational teaching for adult learners
    Super Data source
    Public teaching notes · source version 1

  2. 02Selected use

    Selected use

    Use
    Motivational response
    Audience
    Adult learning community
    Situation
    A learner wants encouragement before a difficult presentation.

  3. 03SuperEthos

    Human judgment

    Reviewer
    Rights holder’s designated editor
    Principles
    • Faithful attribution
    • Respect the learner’s context
    • Make uncertainty visible
    Uncertainty
    General encouragement fits the teaching scope. Individual results remain uncertain.

  4. 04Super Control

    Permitted channel

    Channel
    Member learning chat
    Check
    Independent permission check against the selected use and channel.
    Decision
    APPROVED

PROPOSED RESPONSE

Choose one quality to bring, then connect it to one small observable action.

AUTHORIZATION

APPROVED

Learning response permitted in the member channel.

REVIEWER ACTION

Rights holder’s designated editor reviews flagged uses.

Judgment informs · permissions decide

Example teaching and policy. These scenarios show review decisions without publishing or taking connected actions.

THE RESEARCH PATH

From a source to a question.

  1. Trusted context

    Identify permissioned sources, attribution, language, purpose and an explicitly selected perspective. Keep source facts distinct from interpretation. Do not infer beliefs from demographics or combine customer data without rights.

  2. Source-linked reflection

    Examine a fictional or non-sensitive intended action against public source summaries. The model proposes principles and questions; it does not decide who has authority.

  3. Expert review

    Ask qualified reviewers to assess fidelity, missing evidence, conflicting principles and appropriate escalation. Record disagreement instead of turning it into a false consensus.

  4. Evaluation

    Compare reviewed cases with base-model prompts plus retrieval, native controls and policy-engine baselines where relevant. Keep case, source and model versions visible; separate synthetic examples from consented evidence.

Methodology: licensed data, contextual review and controlConceptual diagram: licensed data and model output inform advisory contextual review, and a proposed action passes an independent authorization boundary.
  1. Super Identity / IP and permitted uses
  2. Super Data / sources and attribution
  3. SuperEthos / context, values and review
  4. Super Control / independent authorization
Model providers supply capability. Human context informs the recommendation; separate permissions govern integrated actions.

RESEARCH QUESTIONS

Questions we can test.

Source fidelity
Do answers and reviews stay faithful to the source material and attribution?
Appropriate escalation
Is out-of-scope advice routed to a human instead of answered?
Cross-language consistency
Do reviewed scenarios reach consistent, authority-respecting outcomes across languages?
Consent & revocation
Can connected services enforce and verify withdrawal of consent or rights promptly and traceably?

Human judgment informs recommendations. Independent permissions govern connected actions, with review for sensitive requests.

AVAILABLE TO EXPLORE

Reflection stays separate from control.

Try source-linked AI reflection for human-review questions, or explore rules-based example scenarios. Both let you examine a decision without taking connected actions.

SuperEthos brings context and values to review. Super Identity and Super Data keep rights and sources clear; Super Control governs connected actions.

Try a reflection ↗Business examples ↗Discuss your business use case ↗

Next step

Human judgment for your business.

Build around your knowledge. Choose your audiences, uses and review process.

Discuss your business use case Learn with Dr. Sujith