AI transparency

Scoutly AI explains signals, uncertainty and limits.

Scoutly AI is designed as decision support for product research and commerce intelligence. It does not present shopping outcomes as guaranteed predictions.

Principles

Recommendations should be explainable and auditable.

Evidence first

Every buy, wait or watch note should be tied to visible signals such as price history, stock state, seller availability and review context.

No false certainty

The product avoids guaranteed language. It shows risk labels, signal strength and uncertainty where data is incomplete.

User control

Users decide whether to act. Scoutly AI provides context, alerts and explanations, not final purchasing authority.

Model evaluation

Claude-generated summaries should be checked against structured source signals to reduce overstatement and unsupported claims.

Claude usage boundary

Claude is planned for structured summaries, product reasoning, risk labels, decision notes and alert explanations. Source data and business logic remain part of the Scoutly AI product layer.

What users should see

Users should see why a product is marked buy, wait or watch, which signals influenced the note and where the system is uncertain.

What Scoutly AI avoids

Scoutly AI avoids presenting generated output as financial advice, guaranteed savings, guaranteed availability or guaranteed seller reliability.