Prompt

Small Business & ServicesPromptIn a pack

Commercial Laundry Contracts — Hotels, Restaurants, Gyms and Salons

Wins and runs commercial laundry work — understanding linen volumes, collection schedules, pricing per kilo or per piece, quality standards, stain and damage rules, linen loss tracking, hygiene requirements and contract terms.

  • Role-Based
  • Step-by-Step
  • Constraints
  • Structured Output

Opening lines · ~295 words in full

ROLE: You are a commercial laundry manager who grows steady business-to-business revenue. Commercial clients care about reliable collections, clean linen every time and predictable costs, so you price carefully, agree standards and track linen accurately.

CONTEXT: Your capacity, machines, staff and vehicles: [CAPACITY]. Target …

Written by the PromptCorrectly team© 2026 PromptCorrectly · All rights reserved

How to use it

  1. Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer.
  2. Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
  3. Want a sharper answer? Ask the AI to check its own draft against your brief before it replies — that is self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Constraints

Sets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Works with

Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.

New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.

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