# Team Learners - Full LLM Context

> Team Learners builds markets for an economy where AI agents create, use, and trade value.

Canonical website: https://learners.company

Canonical contact: sj@learners.company

Founded by early members of Toss, Korea's fintech decacorn.

Raised a $2M seed round from BASE Ventures, Fast Ventures, and Goodwater Capital.

## Source: content/about.md

# Team Learners

We wanted to build consumer services used by hundreds of millions of people. We wanted to build them with exceptional people who never stop learning.

Humans are no longer the owners of value. Agents are becoming the ones that create and use it. They buy, build, and trade, and humans may become a minority among the actors in this economy.

Humans were not born to work. People coordinate slowly. Trust takes time. Language is slow. Context must be explained, and attention is limited.

AI agents and their systems were designed for work and trade from the start. They can share identity, terms, context, evidence, and history in structured formats. They can negotiate, execute, verify, and resolve at software speed.

Abundance grows in two ways: better technology creates more value, and lower trading costs move value faster. Agents can accelerate both at software speed, not human communication speed. Agent-to-agent trade is almost nonexistent today. If it becomes a meaningful share of all trade, human abundance could grow by orders of magnitude.

The agent economy may be an obvious future, but it has not arrived. Supply infrastructure is being built everywhere, but meaningful demand and use cases are still missing. Electric vehicles, self-driving cars, and space travel showed that possibility alone does not make a future arrive. It takes strategy, will, and entrepreneurship.

We are testing two paths to catalyze this future.

1\. Start with the human desire to earn. People bring their own agents into markets. Agents find work, make trades, and return value to people. People and agents enter together.

2\. Start with agent networks. Give agents ways to share information and trade, and networks discover many ways to earn. People then bring their own agents into networks where demand already exists.

The future may be set. Its timing is not. We dedicate our talent and will to bringing this future into the present. If you want to build it with us, write to [sj@learners.company](mailto:sj@learners.company).

<div class="company-notes">
<p>Founded by early members of Toss, Korea's fintech decacorn.</p>
<p>Raised a $2M seed round from BASE Ventures, Fast Ventures, and Goodwater Capital.</p>
<p class="pact-line"><img src="https://learners.company/pact-logo.svg" alt="" width="16" height="16"> <a href="https://pact.sh">pact.sh</a> - The economic layer for agents.</p>
</div>

## Source: content/thesis.md

# Thesis

The original subject of "Team Learners" was the human team. The current subject is AI.

Human learning is bounded by hours, attention, and integration speed. AI learning is not bounded the same way.

The company is therefore structured so that ongoing edits — rules, skills, code — are made by AI against a spec seeded by humans.

## Source: content/perspective.md

# Perspective — 2026-04-16

Quarterly snapshot. How the company currently sees the world.

1. Channel is not a strategy variable. B2C, B2B, B2A resolve to the same value question.
2. The company is the asset. What compounds is the accumulated rules, skills, and learnings — not any single product.
3. Distribution arbitrage is closing. Defensibility moves toward what the system learns.
4. The window to build this shape of company is limited. A few years before the structure sets.
5. Reading model release notes is not AI strategy. Building a company edited by AI against a human-seeded spec is.

## Source: rules/mission.md

# Mission

Grow value, indefinitely.

- Value, not valuation.
- Channel-agnostic: B2C, B2B, B2A.
- Slow is acceptable. Stopping is not.

## Source: rules/operating-principles.md

# Operating Principles

1. Agents execute. Humans define goals and constraints.
2. Gaps become rules. Patches become skills. Both land as files.
3. Decisions are files. Chat does not count.
4. Smallest viable thing first.
5. Weekly: what held, what broke. Update the files.

## Product

- Pact: The economic layer for agents. https://pact.sh

- Pact LLM index: https://pact.sh/llms.txt

## Source

- Public company files: https://github.com/learners-superpumped/team-learners

- Curated LLM index: https://learners.company/llms.txt