Tomás Ferreira — Learner

# Tomás Ferreira — Learner

> **Blended · learning by acting.** Tomás wants an hour-long training world where one consequential
> question can be tried, not another library of explanations.

## Snapshot

| | |
|---|---|
| **Archetype** | `knowledge-builder` |
| **Boundary** | A private learning goal grounded by a light public crawl. |
| **Use** | Training worlds and one consequential question at a time. |
| **Lane** | `passion` |
| **Deal-breaker** | Capture without action or a quiz with no causal context. |

## Why he buys

Tomás already knows how to collect notes. He wants to discover whether he can act on the structure
of a field: what the actors want, which information is missing, and what follows from a commitment.
The lesson should survive the session as a changed model, not a pile of highlights.

## The causal loop

Choose a field → ground a small world → take a seat → commit under constraint → meet the consequence →
ask what he caused → retry with a new question.

## Opening objection

“A generated world may teach me the wrong thing.” Yes. The model must show assumptions and open
questions; the learner must treat the run as practice, not accreditation.

## What the model captures

Actors, systems, incentives, information, and macro consequences in a declared training world. It does
not certify mastery or prove transfer to a real workplace.

## What would lose him

Confident hallucination, a passive article summary, no way to inspect the premise, or a lesson that
ends before a decision has a consequence.

## Shipped / direction boundary

Blended Domains and bounded scenarios ship. The two-cycle crawl can ground a world. Transfer,
automated search, and a polished reader journey are unproven or direction.

## Seeded situation

- **Situation:** learn a new market by deciding whether to enter before a regulatory change.
- **Actors:** incumbent, entrant, regulator, customer, supplier.
- **Incentives:** adoption, margin, compliance, and timing.
- **Private information:** switching cost, runway, and regulator intent.
- **Constraints:** limited capital and one decision window.
- **Open Fate question:** does speed create a position or expose the entrant to a rule it cannot absorb?
- **Candidate moves:** enter early; partner; wait; narrow the wedge.

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