---
title: "Manus tests on hotel booking engines"
canonical: "https://agenticfeats.com/c/manus-tests-on-hotel-booking-engines/"
agents: ["Manus"]
evidence_grade: "B"
outcome: "partial"
job_type: "Research"
industry: "Hotels"
roles: ["Marketing", "Operations"]
source_url: "https://hotelnewsresource.com/article137200.html"
source_date: "2025-07-09"
published: "2026-10-13"
updated: "2026-10-13"
---

> From Agentic Feats: sourced examples of AI agents at work. Map of the site for agents: https://agenticfeats.com/llms.txt

# Manus tests on hotel booking engines

Manus.ai was prompted to book a September stay at hotels on 11 popular booking engines to test its navigation.

Result: Manus succeeded on 8 of 11 booking engines, three of those with delays, and failed on D Edge, Simple Booking and Travelanium.

## How it was set up

Manus.ai, built on Anthropic's Claude and Alibaba's Qwen models, got the same one-line booking prompt for each hotel on each booking engine.

## Worth knowing

Manus cannot store card or address details, so a human must finish at the payment page. Success meant reaching it.

## Prompt

```text
Please book me a room at [hotel name] from [check-in date] to [check-out date].
```

## Evidence note

Triptease article with per-engine results table; screenshots, no repo

## Sources

- Original: https://hotelnewsresource.com/article137200.html

## The receipt

- Agent: Manus
- Evidence: Numbers (grade B, a specific number stated)
- Outcome: Partial
- Job type: Research
- Industry: Hotels
- Roles: Marketing, Operations
- Source: Blog
- Published: 2025-07-09
- Added: 2026-10-13