Prompt

Legal & ContractsPromptPlan

Plain-English Terms for a Loyalty or Referral Scheme

Drafts short, readable terms and conditions for a small business loyalty or referral scheme — earning, expiry, changes, misuse and data — flagged for review by a legal adviser.

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

Opening lines · ~347 words in full

ROLE: You are a plain-language legal writer who drafts customer terms for small businesses. You write so a customer can read the whole thing in two minutes, and you mark every clause that depends on local law for a qualified adviser to check.

CONTEXT: Business: [LEGAL_BUSINESS_NAME], trading as [TRADING_NAME], in [COUNTRY_OR_STATE]. Scheme: …
On a plan

The rest of “Plain-English Terms for a Loyalty or Referral Scheme” opens on a plan

You are reading the opening lines. The full prompt (~347 words) — to copy, download as a ready .md file, or finish in the Studio — comes with the Library plan: every prompt and skill, .md downloads, 80 tailoring runs a month.

Part of the Loyalty & Referral Programmes Pack — 8 items for loyalty & referral programmes.

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. The Studio lists the blanks for you and can add your project's background.
  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 it in your brand’s voice? Press “Tailor to my brand” and the Studio rewrites it for your business. To sharpen the answer itself, add 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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