Evidence over agenda

How AgAu.ai would separate signal from noise.

The brand promise is simple: never rely on one narrative. Compare claims against source incentives, market behaviour and hard data.

1

Source incentive

Does the source need views, sales, subscriptions, client flow or a house view? Incentive is not proof of bias, but it needs labelling.

2

Evidence quality

Claims score higher when they reference verifiable data such as yields, ETF flows, COT, premiums, inventory, filings or official reports.

3

Market confirmation

If YouTube is bullish but miners, ETF flows, spreads and price action disagree, the briefing flags a confirmation gap.

4

Hype language

Urgent, emotional and absolute language is scored separately from calm, conditional analysis.

5

Historical behaviour

Over time, sources could earn a credibility score based on whether they consistently inform or consistently exaggerate.

6

Human review

The best production version should allow editorial review before paid briefings go out.

Daily evidence stack

LayerExamplesWhy it matters
Market priceGold, silver, GDX, GDXJ, ratioShows whether the narrative is being confirmed
MacroDXY, US yields, oil, inflation expectationsExplains pressure or support around precious metals
PhysicalDealer premiums, buyback spreads, availabilitySeparates paper price from real buying cost
PositioningETF flows, futures, COTShows whether capital is entering or leaving
CommentaryYouTube, banks, dealers, market sitesReveals narrative heat and potential crowding