Imaginal AI

Source-grounded advisory infrastructure

A council for the mission that matters now.

Not a prompt asking AI to impersonate famous people. Each mentor is grounded in their own documented corpus, cites what informed the answer, and joins a council that turns distinct counsel into a plan the user approves.

40documented mentor profiles
35isolated staging search engines
15mission-specific team blueprints
25substantive decision guides

The problem with AI mentors

A prompt changes the performance. A corpus changes the evidence.

A general language model predicts a response from patterns learned during training and the context in the current conversation. Naming a mentor can steer its tone and point of view. It does not, by itself, make the model open that mentor's books, search a defined edition, stay inside that work, or show what actually supports the advice.

A prompt tells the AI how to answer. A retrieved corpus gives it evidence to answer from.

Prompt-only mentor

It can sound right and still be ungrounded.

“Act as this famous thinker” is a role instruction, not research. The model may recall useful ideas, but it can also blend the mentor with other writers, modern commentary, or a plausible guess—all in the same confident voice.

  • No exact source boundary
  • No guarantee a relevant passage was consulted
  • No clean line between the mentor and the model
Imaginal AI mentor

The source material changes the answer.

Before a response is composed, Imaginal AI retrieves relevant passages from that mentor's separately governed corpus. The model reasons with those passages in context, cites them, and distinguishes source evidence from present-day application.

  • One governed corpus for each mentor
  • Relevant passages retrieved before generation
  • Visible citations and honest evidence gaps

One corpus per mentor. One plan across the room.

Each council seat retrieves independently, so Marcus Aurelius does not quietly answer from Machiavelli. Only after the distinct perspectives are visible does the Meta-Advisor map agreements, tensions, unknowns, and a plan for the user to approve.

Inspect how source grounding works →

How the system works

Different minds should remain different.

01

Name the mission

Describe the objective, the current constraint, the stakes, and what a useful decision would change. The mission—not a famous name—determines which capabilities belong in the room.

02

Assign the seats

Choose mentors by function: strategy, incentives, operations, persuasion, identity, resilience, ethics, or another needed discipline. Every seat receives an explicit role.

03

Retrieve separately

Each mentor searches only its own governed corpus. Passages, locators, and source metadata stay attached to that mentor instead of dissolving into one blended persona.

04

Commit and review

The Meta-Advisor surfaces disagreement, records a decision, and turns it into a dated commitment. Follow-up asks what happened and adapts the next move.

Start with a perspective

Mentors selected for function, not decoration.

19th century · leadership · persuasion · unity

Abraham Lincoln

President and writer whose speeches and letters reveal argument, coalition management, moral purpose, and restraint.

rich isolated corpus · source registration present Inspect mentor profile →

18th century · economics · business · institutions

Adam Smith

Moral philosopher and economist on specialization, exchange, institutions, judgment, and commercial society.

rich isolated corpus · source registration present Inspect mentor profile →

19th–20th century · business · wealth · organization

Andrew Carnegie

Industrialist and writer on enterprise, organization, wealth, and public responsibility.

moderate isolated corpus · source registration present Inspect mentor profile →

4th century BCE · ethics · rhetoric · decision

Aristotle

Philosopher of ethics, rhetoric, politics, causation, and practical judgment.

rich isolated corpus · source registration present Inspect mentor profile →

19th century · philosophy · psychology · motivation

Arthur Schopenhauer

Philosopher of will, desire, perception, character, suffering, and the disciplines of clear thinking.

rich isolated corpus · source registration present Inspect mentor profile →

18th century · business · diplomacy · self-improvement

Benjamin Franklin

Printer, inventor, diplomat, and writer on self-management, enterprise, public cooperation, and persuasion.

rich isolated corpus · source registration present Inspect mentor profile →

19th–20th century · education · enterprise · leadership

Booker T. Washington

Educator and institution builder on practical education, enterprise, leadership, and racial advancement.

rich isolated corpus · source registration present Inspect mentor profile →

18th–19th century · strategy · conflict · leadership

Carl von Clausewitz

Military theorist on political purpose, friction, uncertainty, escalation, and strategic concentration.

rich isolated corpus · source registration present Inspect mentor profile →
Browse all 40 mentors →

Or start with the objective

Clone a role-defined council.

View every mission blueprint →

The trust contract

An advisory system should show its limits.

No corpus blending

A Marcus Aurelius answer does not quietly borrow from Machiavelli. Retrieval targets, citations, and release records remain mentor-scoped.

No invented authority

When retrieved evidence cannot support the question, the mentor must say so. A clean refusal is more useful than confident imitation.

Rights before release

Sources without a completed rights path stay out of production ingestion. Their public profiles remain clearly marked and leave the sitemap while blocked.

Private custom corpora

User-uploaded mentors live in private, user-scoped storage and indexes. Their files never become public pages or shared training material.