AI app for hospitality and events · no coding needed
Hospitality staff training simulator
Property-specific service recovery practice with trainer-calibrated feedback.
Made for: Training managers at hotel and restaurant groups
What it does for you
The problem
Staff struggle to practice difficult guest situations consistently.
What it gives you
Practice transcripts and service coaching
What you give it
Service standardsactual scenariosrole rubrics
How it works, step by step
- Simulate complaints
- Vary guest needs
- Practice recovery options
- Enforce service policies
- Score observable actions
- Replay conversations
What you see on screen
- Scenario library
- guest roleplay
- coach review
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Hospitality staff training simulator with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Hospitality staff training simulator with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links1 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare23 KB
- prompt-vps.mdThe same build on your own server (Docker)23 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria13 KB
- demo/index.htmlThe working demo on sample data195 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
For training managers at hotel and restaurant groups, turn service standards, actual scenarios and role rubrics into practice transcripts and service coaching. Address the recurring problem: staff struggle to practice difficult guest situations consistently. The pilot measures trainer-rated performance and repeated mistakes against the buyer's current method, before the larger build.
Set the participant’s goal, choose or customize a scenario, conduct an interactive session, record choices or dialogue, review evidence-based feedback with a facilitator when needed, and repeat selected parts with changed constraints. Start with service standards, actual scenarios and role rubrics and finish with practice transcripts and service coaching.
How the AI works
Generate responsive dialogue, alternative situations and structured reflection prompts. Ground feedback in agreed goals or rubrics. Treat creative choices and facilitator judgment as authoritative. Evaluate specific actions rather than infer personality or hidden traits.
Safeguards
Verify property facts, availability and supplier conditions. Staff approve commercial exceptions and consequential booking changes. Validate source access and reviewer availability during the pilot. Maintain customer-level access, data deletion controls and a record of final approvals.
What to build first
Begin with training managers at hotel and restaurant groups and one recurring use case. Build the first two modules: simulate complaints; vary guest needs. Provide operator assistance for the third module: practice recovery options. Deliver practice transcripts and service coaching through a manual review queue. Perform other necessary full-scope functions manually during the pilot. Include all applicable access, accuracy and professional-review controls from the start.
What it can connect to
Property records, event schedules, reservation exports and supplier information. Learning portals, calendar scheduling and authorized session exports. Make recording, sharing and retention controls explicit in the product. These are candidate integration categories, not verified supported connectors.
The screens in detail
Use a scenario catalog with clear goals and difficulty settings. The main session area supports text, optional voice and visible context. Follow it with a replay or decision map, annotated feedback and a next-practice plan. Facilitators can author scenarios and review participant-selected sessions. In this product, the first view is scenario library, followed by guest roleplay and coach review.
