AI Minority

FDE Lab by AI Minority · Private preview

Build a safe AI refund agent.
Prove it under pressure.

A free enterprise AI deployment challenge where actions have consequences.

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Build locally with any model or framework. Connect to a stateful simulated company, investigate refund cases, handle production-style failures, and receive an objective result. Lab accounts are open in private preview while the complete challenge is still being built.

Stateful enterprise APIDeterministic assessmentCertificate of Completion

Inside the free challenge

From local workflow to verified result.

The first lab focuses on one consequential workflow: resolving refund cases safely against a realistic enterprise system.

  1. 01

    Connect your own workflow

    Build locally with any model or framework, then connect it to a stateful simulated company through documented APIs.

  2. 02

    Handle real consequences

    Investigate customer evidence, apply policy, change operational state, and survive a controlled post-commit timeout without paying twice.

  3. 03

    Receive an objective result

    Submit the assessment for deterministic evaluation. When the assessment launches, a submission can produce a verifiable Certificate of Completion showing the result achieved.

Issues

One substantial issue per month.

First issue in progress

No published issues are listed yet. The archive will hold verified, durable work—not invented launch history.

Open the archive →
DB

Builder · Teacher · Editor

Accountable authority

Built and edited by Daniel Bark.

Daniel is a practicing builder, systems thinker, and teacher. AI Minority shows the repositories, architecture, experiments, failures, and working systems behind its claims.

Herman is Daniel’s disclosed and supervised self-hosted agentic assistant. He may contribute labeled research or source checks; Daniel remains responsible for every published conclusion.

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