AI Prompts for Writing, Marketing, and Coding

In this article, we want to share effective prompts that we here at Overchat AI use the most often, for writing, marketing, and coding.

Marketing Prompts

We often use chatbots to analyze reports, brainstorm improvement ideas, and quickly generate lists of keywords. Here are our favourite reusable marketing prompts:

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1. Summarize a PDF

Sometimes we get proposals that are multiple pages long. When we’re short on time, we upload these files into the PDF summarizer. Here’s an effective prompt we use: 

Prompt:

Please read the attached PDF file. Summarize key points and reply with a structured list that breaks up the content into digestible, bite-sized bits. Use the inverted pyramid structure, placing the most important information at the top, and secondary information near the bottom of your summary.

This prompt will lead the chatbot to generate a structured summary.

2. Brainstorm and Suggest Improvements

Sometimes we need a fresh set of eyes to point out areas for improvement that we might have overlooked. That’s what this simple prompt is for. 

Prompt:
Read the following text. This is a [description of the text to set the context]. Suggest improvements to [increase your target metric]. Point out areas that: might be misleading or not clear, are missing, need clarification, or miss the mark for our [describe your target audience]. 

[Paste your content].

Pro Tip: Include your target audience and goals: Optimize for tech-savvy startup founders who prefer a casual tone.

3. Generate a List of Keywords for a Topic

This one might raise some eyebrows — not all AI chatbots have real-time access to the internet, and in any case, they’re not designed for keyword analysis. True. But while there are specialized tools for this, Chatbots were taught on data from the internet. This prompt won’t replace Ahrefs, but it is a good starting point to increase your awareness about a topic. 

Prompt:

You are an expert SEO specialist. Please, generate a list of 20 LSI keywords and phrases, and 20 FAQ questions for [describe your text], targeting [describe your audience]. Sort them by relevance from high to low and group them by user intent — "informational," "transactional," or "navigational."

‍Chatbots that use ChatGPT models are especially good for this, particularly GPT 4.5.

Writing Prompts

You either love AI writing tools or you hate them. If you hate them, chances are, you’re using them wrong. Here are 3 prompts we turn to very often that make AI-generated content much better.

1. Fix Grammar Without Changing Style and Tone

This prompt fixes writing mistakes without letting the chatbot swap similar words, like changing"very" to "extremely".

Prompt

You are a proofreader. Correct any grammar, spelling, or punctuation mistakes in the following text. Do not change the tone, structure, or style of the writing. Avoid swapping words for synonyms, unless a word is misused (misspelled or used completely out of context).

---

[Paste your text]. 

‍Pro Tip: separate the prompt from the content with a delimiter (---). It tells the AI where instructions stop and your text begins. This increases accuracy.

2. Generate an Outline

We use this prompt 2-5 items per article, each in a brand new chat. Chatbots generate similar outlines, but we pick the best ideas from each iteration and mix-and-match them. This is a good way to supplement normal research before you write something.

Prompt:

You are an editor. Write an outline for a 1,500-word blog post titled [article title].

3. Write in the Your Voice

Sometimes, if you ask the AI to match a particular style, it doesn’t quite get it right.

We found an effective hack — ask the AI to find a different reference point, like a famous author who writes similarly to you.

This works in 2 steps: 

1. Establish a reference first
2. Then ask the AI to rewrite or write text similar to that reference

Prompt #1:

Analyze this writing sample for tone, word choice, and structure. Break down your analysis step-by-step. Think through the solution out loud. Then explain, what famous author is this writing style the closest to?

[Paste a sample of your writing]

Prompt #2:

Rewrite this text in the style of [the name of the author who writes most similar to you]

Or

Write [explain your idea] in the style of [the name of the author who writes most similar to you]

Coding Prompts

Vibe coding can work for entire projects, but you need to take off your developer hat and put on your product manager hat — explain, explain, explain. A generic prompt won't cut it here. Any omitted information will likely cause a bug or unintended behavior. If you don’t want that to happen — use these reusable prompts:

1. Prompt to Request Code

This prompt ensures the AI understands the scope, technical environment, and quality expectations. You’ll get modular, production-aware code instead of generic examples.

Prompt:

I need to implement [describe the functionality] in [programming language].

Key requirements:

- [Requirement 1]

- [Requirement 2]

- [Requirement 3]

- …

Please consider:

- Error handling

- Edge cases

- Performance optimization

- Best practices for [language/framework]

Please do not remove any existing comments or placeholder code unless necessary.

Generate the code with clear comments explaining the logic in each step.

2. Prompt to Explain Code

This prompt goes beyond "what does this code do?". Ideal for onboarding, learning new frameworks, or reviewing legacy codebases.

Prompt:

You are a senior developer onboarding a new team member. Explain the following code line by line. Assume I’m a developer with [beginner/intermediate/advanced] experience level in [language]. Include brief explanations of any libraries used, the purpose of each function, and key logic flows.

3. Prompt to Review Code

This turns AI into a second set of experienced eyes—great for catching mistakes, improving team code quality, or refining MVPs into production-ready modules.

Prompt:

Review the following code for:

- Readability

- Performance

- Adherence to best practices for [language or framework]

Please highlight:

- Any security vulnerabilities

- Areas to refactor or simplify

- Any missed edge cases

Return your suggestions in bullet-point format, and provide revised code snippets where appropriate. Do not rewrite the entire file unless necessary.

Understanding how LLMs Work

To write good prompts, it’s important to understand how LLMs “think.”

Chatbots like ChatGPT and Claude, and their alternatives, produce output by predicting the next word in a sentence. Most models can’t check themselves, and they don’t have the common sense that humans have.

That’s why, you shouldn’t approach prompts exactly like commands to a human. Instead:

• Set the context. Before a prompt, give the LLM a role: “you’re an editor working at The Times,” or “You are a senior Go developer.” In many cases, this sets the chatbot on the right track and leads to a better result.
• Give an example. The better the input, the better the output — if you want to match a writing style, or if you want a report structured a particular way, give the LLM a reference — upload a document, or paste a writing sample. 
• Be specific. Many users have noted that working with a chatbot is similar to working with an overenthusiastic intern — they have unlimited energy but often get things wrong. The better you explain what you want, the closer the result will be to required output. 
• Ask the LLM to think through the task. When humans approach a difficult job they usually stop and divide it into manageable sub-tasks. This leads to better output. LLMs can do this too, but they usually won’t, unless you tell them explicitly.

All prompts above use at least one of these tips.

Happy prompting! 

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