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Transparent by design

The scoring method

TripCopilot is not a language model guessing what sounds plausible. It is a deterministic ranking engine. The same answers always produce the same scores from the same dataset.

01

Every explicit preference is checked

Season, temperature, trip type, scenery, rain tolerance, activity, atmosphere, crowd level, board basis, budget and journey limit all contribute to the score. Destinations are not treated as one fixed personality: each stores a typical profile and a credible range for pace, evenings and crowd setting, and the engine selects the closest realistic version through area, hotel, activities and timing. Directional scales are inclusive towards the end selected: Warm includes Hot, Quiet includes Serene, Active includes Very active, and Off-beat includes Hidden gem. Accommodation and board are minimums; budget and rain are maximums, so better rooms, more-inclusive meals, cheaper trips and drier weather never reduce a score. Hard gates cap only genuine movement into the less-preferred direction. Multiple scenery and general experience choices are acceptable alternatives, while specialist choices such as skiing, safari, diving, northern lights, wellness and road trips remain essential.

02

Selected months are alternatives

If you select October, November and December, the engine chooses the best of those months separately for every destination. It does not average all three into an imaginary season. The chosen month drives the weather, season and cost estimate shown on that result.

03

Costs are ranges, not fake quotes

Ground-cost ladders, room sharing, accommodation standard, season and estimated return travel are combined into a per-person planning range. It is intentionally wider than a single number because live fares, exact dates, baggage, room occupancy and supplier inventory are unknown.

04

Travel estimates depend on origin

London uses curated planning figures. Other departure cities use corrected destination coordinates, a regional-journey model for nearby trips, great-circle distance, market multipliers and a calibrated connection allowance. Flight labels are estimates, not promises of a nonstop service or a particular schedule.

05

Variety cannot replace quality

The visible results avoid repeated countries and near-identical products unless the score loss would be material. A broad Oman road trip and a Muscat break, for example, cannot occupy two valuable slots when another genuinely different match is almost as strong.

06

Safety can remove a destination

Restrictive official advice can pause a destination completely. Caution statuses reduce confidence and surface an explicit warning. This is a static review layer, not a substitute for checking current FCDO advice immediately before booking.

What a score means

9.0 to 10Excellent fit with no material conflict
8.0 to 8.9Strong fit with minor compromises
7.0 to 7.9Good fit, but read the trade-offs
Below 7A compromise; the adjustment engine suggests what to change

Known limitations

Prices are planning-grade, foreign-exchange display rates were reviewed on 30 July 2026 and remain approximate, rain is represented by a conservative month-aware risk model rather than live rainfall forecasts, and connections are modelled rather than taken from a live timetable. Supplier APIs, live inventory and live travel-advice feeds are the intended production upgrade for travel businesses.

See how the engine can be connected to a travel company's own products and live data.

Torn between ten tabs?Two minutes of questions, up to seven strong matches, realistic cost ranges and every trade-off spelled out.
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