Why $BONZAI Exists

$BONZAI gives private AI work a shared economic standard when it becomes publishable, reusable, or revenue-producing.

A locally downloaded model can be private, but it cannot by itself answer:

• Who supplied the training data?

• Who curated and evaluated it?

• Who trained, served, or maintained the model?

• Who owns the companion or generation?

• Who should earn when a derivative asset becomes useful?

BonzAI combines two things:

1. Proof of Contribution records useful work and immutable ownership shares.

2. Staked $BONZAI records durable commitment and creates additive utility weight.

useful contribution + staked $BONZAI
→ trusted publishing, routing, reputation, and additional rewards

Current Desktop utility

Desktop provides:

• staking, lock extension, contribution score, tier, and utility weight;

• contribution packs and provenance-aware training;

• immutable asset revenue routes;

• validated companion, fine-tuned, and abliterated model economies;

• provider, companion, job, skill, and content reward paths;

• Markets for issued companion/model tokens.

Why staking is not a toll

BonzAI does not require a stake for ordinary local chat or generation. Staking becomes relevant when a participant asks the shared economy to trust, rank, publish, route, or reward an asset.

Why stake alone is insufficient

Stake does not prove that someone improved a dataset or model. Contribution scores must be evidence-backed and attested by an authorized score oracle. Base contributor royalties remain fixed after the route receives revenue.

Utility weight

The staking vault calculates:

utility weight = stake × lock multiplier × contribution multiplier

Utility weight can be used by publishing, curation, provider routing, and the separate staking bonus. It does not rewrite the base contribution split.

The moat

BonzAI+ captures attributed data
→ Desktop curates, trains, validates, and generates
→ models, companions, jobs, and media preserve origins
→ markets and providers create usage
→ revenue returns to recorded contributors
→ staking adds trust and long-term alignment

This loop makes $BONZAI useful because local AI assets need coordination, not because prompts need another payment token.