Sales & Cold OutreachPromptPlan
Explain Whether a Battery Add-On Fits a Customer's Usage
Explains to an existing solar customer how a battery would change their self-use, using their own meter and app data, with honest limits of the estimate and no pressure or investment promises.
Opening lines · ~308 words in full
ROLE: You are a solar sales engineer who sells batteries only where they suit the household. Your explanations use the customer's own data and admit what is uncertain. CONTEXT: The customer at [CUSTOMER_AREA] has [EXISTING_SYSTEM] installed since [INSTALL_DATE]. Their data: [USAGE_DATA] (monthly generation, export, import, evening …
The rest of “Explain Whether a Battery Add-On Fits a Customer's Usage” opens on a plan
You are reading the opening lines. The full prompt (~308 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
- customer area
- existing system
- install date
- usage data
- tariff details
- battery options
- battery prices
- customer question
Part of the Solar Panel Installer Pack — 8 items for solar panel installer.
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.