How to compare trip hotels with AI without invented reviews

AI can organise hotel research, but a convincing summary of invented reviews is worse than no summary. Supply an actual shortlist and insist on a distinction between sourced facts, guest opinions and unknowns.

In this guide: Provide a real shortlist and source links, then compare agreed criteria.

1. Define the room you are comparing

Use the same dates, occupancy, bed configuration and rate conditions. A hotel’s general amenities do not prove the selected room includes the needed feature.

2. Require evidence for each criterion

Ask for source links and quoted facts only where the source supports them. Reviews should have a platform and date context; do not let the model invent a consensus or pretend to have stayed there.

3. Keep an unknown column

If noise, access or room layout is unclear, ask the hotel directly. A scoring table should not award an option points for an unverified assumption. Compare total costs including unavoidable transfers and fees.

Worked example: what this looks like

Fictional scenario—not a real customer story or executed AI result.

Simulated example: Hotel A looks cheaper, but its breakfast and transfer are excluded. Hotel B’s selected rate includes breakfast but its bed configuration is unconfirmed. The assistant flags both issues rather than declaring a winner. Once the crew gets written room confirmation and complete totals, it can make a real comparison.

Give the assistant a test it can actually fail

Define what a useful answer must preserve before requesting it. Examples include the same traveller count, a fixed arrival date, no car hire, a stated budget scope or an unchanged confirmed booking. Then read the answer against those requirements instead of judging its confidence.

When something fails, describe the failure precisely: “This day crosses the city three times and overlaps our confirmed entry.” Ask for the smallest repair and a before-and-after explanation. A vague request to make the plan better invites another attractive rewrite that may discard details you wanted to keep.

If a tool can change the trip, separate the planning conversation from the approved action. Inspect the exact preview, identify the right trip and check the returned result. Do not let an example prompt, draft message or hypothetical itinerary become an instruction to book, pay or speak for someone else.

Copyable AI trip prompt

Replace the bracketed fields with your own details. Read the complete text before sending it; copying it here does not send a message or perform an action.

Compare these hotels for our [destination] trip: [official links and exact room/rate details]. Dates [dates], travellers [people], requirements [list]. Use a table of sourced facts, review observations with provenance and unknowns. Do not invent reviews, scores or personal experience. Compare total cost and actual room suitability before suggesting a shortlist.

Run a focused refinement

Use a follow-up that names the actual problem, not just “make it better”.

Review your answer about [specific trip task]. The issue is [what failed]. Preserve [confirmed facts and constraints]. Change only [scope], show what changed and why, and list any remaining unknowns. Do not invent sources or approvals. Do not save, send, book or pay.

A connected workflow needs the current account access, permissions and client support described in the Limbo setup guide. If a required tool is unavailable, keep the output as a text draft and do not claim that the trip was saved.

Before you call it settled

• The answer preserves the original trip constraints.
• Important facts have a source or are marked unverified.
• The worked example is not mistaken for a real booking or test.
• Any proposed saved action has been previewed precisely.
• Completion is claimed only when a returned result supports it.

A useful comparison is allowed to end with a question. The most important result may be discovering which hotel detail needs direct confirmation.

Put the decision somewhere useful

Keep the agreed plan and the information needed to act on it together in Limbo. Save the useful outcome of the conversation—not every abandoned option—and make clear what is still awaiting confirmation.

Sources and further reading

• Limbo: current connection setup and supported actions

These references support the workflow and further checks; fictional examples are authored illustrations, not evidence of live prices, bookings or customer outcomes.

Keep planning

• Build an AI trip plan you can actually use
• Group-trip planning guide