Getting the Most Out of ChatGPT with Better AI Prompts

If you’re using AI tools like ChatGPT, Claude, or Gemini and getting generic or underwhelming answers, it’s probably not the AI’s fault — it’s your AI prompts.

Welcome to your go-to guide on AI prompts — tips designed for marketers, founders, creators, and anyone who wants to get found in the new era of AI-first discovery. In this post, we’ll show you how to write better prompts, get more accurate and useful responses, and ultimately turn AI into a powerful assistant for your daily workflow.

Each tip below includes a quick explanation and a real-world example to help you apply it right away.

AI Prompts Construction Basics

1. Use a clear role

Explanation: Assign the AI a role to guide its perspective and output style.

Example: “Act as a marketing strategist”

2. Include a task

Explanation: Clearly state what you want the AI to do.

Example: “Create a 5-day email nurture series…”

3. Define format/output

Explanation: Specify the structure or layout for the response.

Example: “…in bullet points with headers.”

4. Specify tone/style

Explanation: Set the mood, language style, or personality for the output.

Example: “Make it punchy and informal.”

5. Add context

Explanation: Explain who, what, or why the task is being asked to improve relevance.

Example: “This is for a B2B SaaS startup in HR tech.”

6. Include constraints

Explanation: Set boundaries to manage scope and relevance.

Example: “Use no more than 300 words” or “Give 3 options.”

7. Add examples or references

Explanation: Inspire or clarify the response by showing similar materials.

Example: “Use the tone of this article: [paste text here].”

Iteration & Refinement

8. Ask follow-ups

Explanation: Improve answers by requesting further detail or refinement.

Example: “Can you improve clarity?” or “Give 3 shorter versions.”

9. Use refinement techniques

Explanation: Ask for specific improvements based on your needs.

Example: “Add contrast,” “More persuasive,” “Use stats.”

10. Try parallel prompts

Explanation: Ask the same question in different ways to explore options.

Example: “What’s a fun way to describe this?” vs. “Make this punchy.”

11. Use meta AI prompts

Explanation: Ask the model to reflect on or critique its own response.

Example: “What assumptions are you making?” or “What’s missing?”

Prompt Thinking Techniques

12. Step-by-step reasoning

Explanation: Break down reasoning into smaller parts to improve logic.

Example: “Let’s break this down step by step.”

13. Chain of thought

Explanation: Guide the model to think through problems in sequence.

Example: “First do X, then Y, then summarise Z.”

14. Reflection prompting

Explanation: Ask the model to evaluate or critique its answer.

Example: “What might be missing from this answer?”

15. Debate prompting

Explanation: Request arguments for and against to generate balanced insight.

Example: “Argue both sides of this issue…”

Creative & Structured Prompting

16. Use creative triggers

Explanation: Encourage originality through metaphor, emotion, or absurdity.

Example: “Describe AI like a jealous ex-boyfriend.”

17. Ask for frameworks

Explanation: Get structured responses by naming popular frameworks.

Example: “Use SWOT,” “Apply Jobs-to-be-Done.”

18. Combine tasks

Explanation: Stack instructions to produce richer outputs.

Example: “Summarise the article, then critique it.”

Context Management & Control

19. Chunk complex tasks

Explanation: Break large tasks into smaller sequential prompts.

Example: “First define the audience. Then write the subject line.”

20. Summarise prior turns

Explanation: Help the model retain context by recapping the conversation.

Example: “Earlier, we agreed the audience is mid-level managers…”

21. Use delimiters

Explanation: Use clear markers to define inputs and outputs.

Example: “Here is the input: “`text“`”

22. Set audience level

Explanation: Tell the model who it’s writing for to adjust tone and complexity.

Example: “Write this for a high-school student.”

Prompting by Task Type

23. Avoid assumptions

Explanation: Make sure you define what the model needs to know.

Example: Instead of “Make it better,” try “Make it persuasive for B2B buyers.”

24. Tailor prompts by task type

Explanation: Use different prompt strategies depending on whether you’re asking for creative writing, technical tasks, summaries, or research.

Example: “Write a 300-word blog post in a humorous tone” vs. “Summarise the key findings of this research paper.”

25. Prompt for creativity

Explanation: Encourage imaginative output by including emotional triggers, metaphors, or unusual comparisons.

Example: “Write a product description like a Shakespearean love letter.”

26. Prompt for technical tasks

Explanation: Include environment, error message, and expected format to get accurate technical help.

Example: “Help me debug this Python script that crashes with a ‘KeyError’ in pandas.”

27. Prompt for research tasks

Explanation: Request evidence-based responses, sources, or breakdowns of complex ideas.

Example: “Summarise three peer-reviewed studies on AI in healthcare and include citations.”

28. Prompt for summarisation

Explanation: Specify the level of detail and target audience for the summary.

Example: “Summarise this report in 100 words for a C-level executive.”

Model-Specific & Advanced Usage

29. Optimise for your AI tool

Explanation: Each AI platform has its quirks. Learn what each model does best.

Example: Use Claude for long-document reasoning, ChatGPT for conversational tone, Gemini for Google-contextual tasks.

30. Use custom instructions or memory settings

Explanation: Set persistent preferences to guide tone, structure, or persona in your prompts.

Example: In ChatGPT, customise instructions like ‘Always use UK English and professional tone.’

31. Clarify token/length limitations

Explanation: Different models have word/character limits — keep your prompts focused and break up tasks when needed.

Example: “Summarise this first, then I’ll send the next chunk.”

Tools, Templates & Avoiding Mistakes

32. Leverage AI prompt tools and templates

Explanation: Use prompt libraries or browser extensions to save and reuse well-performing prompts.

Example: Tools like AIPRM, PromptHero, or FlowGPT can help you find proven prompt structures.

33. Avoid vague commands

Explanation: Commands like ‘Make this better’ or ‘Fix this’ are too broad to produce useful results.

Example: Instead, say ‘Make this more persuasive for B2B SaaS buyers using a confident tone.’

Wrapping Up

Strong AI prompts are the secret to unlocking the full value of today’s AI tools. Whether you’re crafting content, doing research, writing code, or building your brand’s visibility in AI-generated answers, these AI prompt tips will help you get there faster and more effectively.

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