Methodology

Useful sources. Visible incentives.

AgAu.ai does not assume any source is neutral. The platform is designed to understand each source’s likely incentive, then compare its claims against data and market behaviour.

Source	Likely incentive or bias	How AgAu.ai uses it	Status

Evidence score

Does the claim cite data, show charts, include dates and acknowledge contrary evidence?

Market confirmation

Does price action, ETF flow, miners, premiums or macro behaviour support the claim?

Source memory

Over time, AgAu.ai can learn which sources are early, balanced, promotional or repeatedly exaggerated.