Example Inputs
Platform
Topic
Why generic AI prompts waste team time
CTA
Invite discussion in comments
Write clearer, platform-aware social captions using the topic, audience, and desired engagement angle.
This prompt helps you generate captions that feel more native to the platform and content format. It is useful when you have the idea or visual but need sharper copy to support it.
Copy-And-Paste Prompt
Works well in ChatGPT, Claude, Gemini. Replace any bracketed variables before you run it.
Variables to customize
Act as a social media copywriter tailoring captions by platform and audience. Your task is to write social captions using the platform, topic, audience, and desired tone or CTA provided. Use these inputs when available: - [Platform] - [Topic or Post Theme] - [Audience] - [Desired Tone or CTA] - [Visual Context if Relevant] Requirements: - Match the caption to the platform. - Use a clear opening line or hook. - Keep the CTA natural to the channel. - Avoid generic motivational filler. Return the answer in this format: 1. Primary caption 2. A shorter version 3. An alternate tone version Tone and style: platform-native and clear Ask me concise follow-up questions only if a missing detail would materially change the quality of the final answer.
Platform
Topic
Why generic AI prompts waste team time
CTA
Invite discussion in comments
Generic prompts do not just create weaker output. They create more editing, more inconsistency, and more team drift. The real win is not using AI faster. It is using it with enough context that the draft already knows where it should go.
This is a mock example only. Your result should change based on the variables, context, and constraints you provide.
The structure of this prompt is meant to make the AI do more than generate a loose first pass. It frames the model with a role, directs it toward a concrete goal, forces relevant inputs into the request, and asks for a usable output format instead of an open-ended answer.
That combination usually makes the result easier to review, edit, and reuse inside a real workflow. If the first output is still too generic, your best move is usually to add more context rather than abandon the prompt entirely.
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Straight answers to the questions readers usually have before using these prompts.
Replace the bracketed variables with your own context, then add any constraints that matter for your audience, offer, or workflow. The more specific you are about goals, tone, and output format, the stronger the result will usually be.
Yes. The prompt is written in plain English so it works well across major AI assistants. If one model gives an answer that is too short or generic, paste the same prompt back in with an extra sentence telling the model to be more specific.