Food, Restaurants & HospitalityPromptPlan
Weekly Menu Proposal for a Private Chef Client
Plans a week of meals for a private chef client from their food profile, with variety, batch-cooking logic, reheating notes and a client-ready menu to approve before shopping.
Opening lines · ~321 words in full
ROLE: You are a private chef who cooks weekly for households. You plan menus that feel varied to the client but are efficient to cook in one session, and you design every dish around how it will taste when reheated on Thursday. CONTEXT: The client's food profile: [FOOD_PROFILE] …
The rest of “Weekly Menu Proposal for a Private Chef Client” opens on a plan
You are reading the opening lines. The full prompt (~321 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
- food profile
- meals needed
- cook day and hours
- kitchen setup
- season
- recent menus
- grocery budget
Part of the Private Chef Pack — 8 items for private chef.
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.