Our Principles

Version: v3.0.0 Last updated: February 2026

What musen Is

musen is AI Radio.

Not a streaming platform. Not a playlist engine. Not a recommender surface.

musen is a continuous, adaptive radio system that computes audio experiences over time.

Its core question is not: what should the user choose next? But: what should be happening in this radio stream right now?

Radio is treated as a living process, not a sequence of items.

Core Invariant

Listening is continuous, and value must follow listening time.

Everything in musen derives from this invariant:

• product experience

• AI architecture

• economic model

• creator incentives

• legal posture

• long term moat

If a design decision breaks this invariant, it is wrong.

Product Canon (Non Negotiable)

1

Radio First Experience

• Effortless listening

• Minimal interaction

• Long sessions over clicks

• Flow over choice

musen is designed to be a daily background, not an attention trap.

2

Two Broadcast Modes

AI DJ

• Segment based

• Replayable

• Curated from the musen database

• Does not speak to users

Live Radio

• Real time stream

• Music plus AI Host

• Prompt driven, continuous

• Separate lifecycle and accounting

These two modes never mix.

3

Segments

• Editorial radio objects (~30 minutes)

• Containers of tracks, jingles, and speech

• Do not modify or derive tracks

• Persistent, reusable, shareable

Segments are programming, not content ownership.

AI Architecture Doctrine

musen is not powered by a single model. It is a system of systems.

Intelligence Stack

• Mothership — infrastructure and lifecycle

• Admiral — real time execution

• Fujin — long horizon radio intelligence

• Editorial Agents — AI DJ and AI Host

Fujin reasons. Editorial agents decide. Execution systems play.

No layer collapses into another.

Memory as Infrastructure

• Session based, not click based

• Time aware

• Intentionally decayed

• Long horizon

Memory is not a feature. It is infrastructure.

Economic Doctrine (Project Checkmate)

Time Based Allocation

• Value is generated per listening hour

• No global pools

• No popularity weighting

• No delayed settlement

Each listener funds what they listen to.

Allocation Split

• Mechanical value → tracks (by time played)

• Performance value → broadcasters and editors

Editorial labor is paid. Ownership is not confused with value flow.

Long Term Objective

• Progressive reduction of platform extraction

• Bonding at scale

• musen becomes infrastructure, not rent seeker

Creator Doctrine

• Creators are not content suppliers

• They are broadcasters, editors, and composers

• Sustained attention matters more than virality

Segments reward programming. Live radios reward curation.

No algorithmic gaming. No pooled competition.

Legal and AI Governance Doctrine

• Creator native content first

• Explicit provenance and consent

• Conservative scope at launch

• Proportional compliance by scale

musen:

• does not train music models

• does not ingest external catalogs

• does not allow unconsented derivatives

• does not blur orchestration and generation

Compliance is intrinsic, not retrofitted.

Category and Moat

musen defines AI Radio as a new media category.

Moat is created by:

• continuous listening data

• long horizon memory

• time native economics

• aligned creator incentives

• regulatory readiness

This system compounds with use. It is hard to imitate without rebuilding everything.

Long Term Horizon

musen is built as 20 to 30 year infrastructure. musen is not trying to win feature comparisons. It is designed to own the category of AI Radio.

Final Rule

If something:

• increases choice friction

• optimizes for clicks over time

• treats audio as discrete items

• recentralizes value

• weakens creator trust

It does not belong in musen.

Powered by AI. Tuned to you. Computed over time.