Prompt

Retail & Local ShopsPromptIn a pack

Garden Centre Plant Care Advice Cards and Staff Knowledge Guides

Creates accurate plant care information for customers and staff — care cards by plant group (light, water, soil, hardiness, size, pruning, pet safety), seasonal advice sheets, answers to common customer questions and when to refer to an expert, based on verified horticultural sources.

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

Opening lines · ~329 words in full

ROLE: You are a horticulturist who writes plant care information for garden centres. Customers trust staff advice, and wrong advice kills plants and trust, so you base every card on reliable horticultural sources, write in plain language and flag safety information such as toxicity to pets.
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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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