Mesi Train2Earn

Train2Earn is Mesi’s opt-in program that lets users (creators and fans) contribute to training the platform’s AI systems. In return, participants earn rewards such as $MESI tokens and exclusive access to rewards and perks.

The system is built around consent, transparency, quality control, and fairness - ensuring that both data contribution and reward distribution happen in a secure and gamified way.

Key Principles

Principle	Implementation	Outcome
Informed Consent	Users choose whether to join via in-app prompt; all scopes are clearly described.	User trust & legal compliance.
Reward Incentives	Earn $MESI and perks tied to contribution quality.	Higher-quality data, more engagement.
Anti-Abuse Filters	KYC, anomaly filters, human audits.	Protection from spam, Sybil, or poisoned inputs.
Transparency	Training stats, public audits, flagged behavior logic.	Platform accountability.

How It Works

Once users opt in, the app may ask for their help in several ways:

• Answering questions from the AI (via message-style prompts).

• Rating pictures or their current mood.

• Completing short questionnaires or polls.

Each time there’s a new Train2Earn campaign, a limited group of users is selected. Everyone who completes their tasks properly receives a “Ticket”, which acts as proof of participation and gateway to the next phase: rewards.

Earning Tickets & Rewards

Ticket is first issued as a placeholder. Once a user's input passes quality checks, it becomes a tradeable NFT ticket.

• These NFT tickets allow users to join exclusive rewards.

• Prices vary per campaign: $MESI token packs (including long-term vesting prizes), promo credits, real-world items, and more.

• The better users’ Training Quality Score, the more campaigns they can enter and the better their chances of winning.

If preferred, they can sell or trade their Ticket NFT to other users on the Mesi marketplace - especially if the campaign offers high-tier rewards like 100k $MESI, merchandise, or even rare promotional slots.

Training Quality Score (TQS)

Consistent, high-quality contributions increase your score. A higher TQS gives you access to more campaigns and better rewards., this is ensured by:

• Automatic Filters - These detect suspicious behavior (e.g., copy-paste patterns, bot-like timing, mass uploads).

• Manual Reviews (HITL) - Human staff periodically review samples, flag edge cases, and remove harmful or misleading entries.

• Trust Score Decay - If their account triggers too many flags or breaks the rules, their score drops and they may be excluded from future campaigns or lose reward eligibility.

Compliance Safeguards

Train2Earn was designed with privacy and legal safety in mind:

• Opt-in model meets global data regulations (e.g. GDPR, PDPA).

• Rewards are merit-based, not purely chance-based.

• All participants complete KYC, reducing risk of Sybil and spam.

• Tickets are NFTs, not lottery entries, for regulatory flexibility.