Quality & Anti-Fraud

Ola City treats trust as something designed into every reward. Rather than a single checkpoint, the quality system runs through multiple sequential layers of defense — every piece of work passes through each layer in turn before it's rewarded:

Main layers:

• Verified skills — contributors must pass an assessment before receiving the corresponding tasks.
• Two-layer evaluation — AI screens, humans decide.
• Multi-dimensional reputation — rewards and opportunities are tied to quality history, not volume of actions.
• Appeals mechanism — honest workers have a channel to protect their interests.
• Fraud control — detects and blocks spam, bots, fake work, and abuse.

Risk	Defense mechanism
Bots / fake accounts	Skill verification + AI anomaly detection + KYC on withdrawal
Sloppy work, spam	Human decision + reputation weighting
Misjudging good workers	Appeals mechanism with response
Referral abuse	Rewards only for real, approved work

Goal: protect both honest contributors and businesses paying real money — because every fraud attempt blocked is trust preserved for both sides.