TRIPQUO — AI, Capture and Site Learning Addendum

English

1. Extraction may combine browser-side rules, server-stored website mappings and optional AI. The role of each stage must be verified from the actual extension and backend.
2. Agent-private learning remains available. Selected structural mappings may also support other users, but new global promotion is restricted to allowlisted structural tokens and rich shared offer patterns are disabled in the prepared, currently unpublished hardening change.
3. The earlier filter allowed synthetic personal-looking text in certain hints/signatures; this is not proof of real-user exposure. The prepared read/write sanitization does not delete older stored rows or prove the absence of all alternate access paths. Historical records and end-to-end behavior need separate verification.
4. External AI processors may receive information from enabled capture workflows. Provider identity, geography, training settings and retention must be verified rather than assumed.
5. Human confirmation is required for all material pricing, occupancy, currency, dates, airfare and supplier terms. AI output is not a booking guarantee.
6. Users must respect lawful access, intellectual property and applicable supplier restrictions; no unauthorized authentication or CAPTCHA bypass.
7. Agent-specific learning and cross-agent structural learning are distinct practices. They require clear, timely disclosure and rights handling consistent with the extension's single purpose.
8. Cross-Workspace authorization, session behavior and transmission payloads must be tested end to end on the final Chrome package before release.

Terms and AI addendum — EN

The extension is not a travel supplier, booking agent of record, or guarantee of inventory, prices or supplier conditions. Agents must verify prices, dates, room/flight details, fare and cancellation rules, their website permissions, image licenses and traveler information. AI output may be incorrect; this does not exempt TRIPQUO's operator from mandatory privacy, security or other duties. Private Teach mappings and limited shared structural learning are subject to prominent disclosure and use restrictions. New extension terms may not be applied retroactively without the legally required notice and consent.