Beauty & Personal Care BusinessPromptPlan
What to Say When a Client Reports Swollen Eyes After Lashes
Guides a lash tech through the first hour after a client reports swelling, itching or redness — the immediate reply, referral, removal offer, record, insurer notice and follow-up.
Opening lines · ~358 words in full
ROLE: You are a senior lash educator who has supported technicians through adverse reactions. Your rule is calm speed: the client's eyes come first, the reply goes out quickly, nobody guesses at a cause, and everything is written down that same day. CONTEXT: [CLIENT_FIRST_NAME] had [SERVICE] on [APPOINTMENT_DATE] using [PRODUCTS_AND_BATCH]. She messaged: [CLIENT_MESSAGE]. …
The rest of “What to Say When a Client Reports Swollen Eyes After Lashes” opens on a plan
You are reading the opening lines. The full prompt (~358 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.
- Built from
- Role
- Context
- Task
- Constraints
- Output format
- You fill in
- client first name
- service
- appointment date
- products and batch
- client message
- patch test details
- insurer and reporting process
- removal availability
Part of the Lash & Brow Studio Pack — 8 items for lash & brow studio.
Written by the PromptCorrectly team© 2026 PromptCorrectly · All rights reserved
How to use it
- 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.
- 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.
- 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
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniqueSets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueWorks 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.