The 5 prompt patterns that work in hospitality · Practical AI in Hotel Operations

After deploying AI workflows across multiple hotel chains, the pattern is clear: 80% of useful hotel AI prompts are variants of five repeating shapes. Knowing these five shapes — and which one fits which workflow — turns prompt-writing from an art into a craft.

Pattern 1: Respond-in-voice

"You are [role]. Respond to the following [message type] in the voice of [property/brand]. [Constraints on tone, length, content]. INPUT: [actual content]." Used for: review responses, guest emails, in-room communications, social media replies. The voice constraint is what makes it different from a generic LLM response.

Pattern 2: Extract-from-text

"From the following [text type], extract: [field 1], [field 2], [field 3]. Return as [format]. If a field is not present, return null for that field. INPUT: [text]." Used for: parsing booking inquiries, extracting requests from emails, categorizing guest messages, structuring unstructured data into PMS fields.

Pattern 3: Summarize-with-structure

"Summarize the following [content] in [N words/sentences]. Focus on: [aspect 1], [aspect 2]. Format as [structure]. INPUT: [content]." Used for: daily review summaries, group communication digests, contract abstracts, monthly performance briefings.

Pattern 4: Generate-with-rules

"Generate [N variants/items] of [content type] for [context]. Each must include [requirement 1] and avoid [restriction 1]. Voice: [voice spec]. INPUT: [parameters]." Used for: menu descriptions, marketing copy variants, package proposals, in-room amenity descriptions, social media captions.

Pattern 5: Classify-with-action

"Classify the following [input] into one of: [category 1], [category 2], [category 3]. For each classification, suggest [next action]. INPUT: [content]." Used for: routing guest messages to the right department, triaging review urgency, prioritizing maintenance tickets from text reports, categorizing complaint severity.

Why this matters

Every hotel AI use case maps to one (or a combination) of these five patterns. A team that knows the patterns can build a new workflow in 30 minutes instead of 3 days. A team that doesn't reinvents the prompt structure from scratch every time and produces inconsistent output.