Stop using the same prompts across different AI tools. Smart users customize their approach for each tool. Here鈥檚 why learning each model鈥檚 style matters: [ 馃敄 bookmark this post for later ] 1. ChatGPT delivers when you guide it like an instructor - asking for step-by-step breakdowns, practical examples, and setting a clear, concise tone. 2. Perplexity excels when treated like a research analyst - ask for specific facts, request sources and citations, and include relevant keywords with timeframes. 3. Grok responds best when you get candid - think raw feedback, emotional angles, skip the corporate jargon, and ask for quick, tweet-style insights. 4. Gemini works well when given structure like a project planner - ask it to organize content, define clear objectives, and format everything into workspace-compatible outputs. AI models aren鈥檛 one-size-fits-all. Tailor your prompts to the specific model for better outputs. Save this guide. Share it. Start with one AI tool. 馃搶 Get Advanced ChatGPT Guide (free): bit.ly/3StIB3z 馃憠 Follow me @AndrewBolis for more and 馃攧 Repost this to help others use AI

Sep 24, 2026 路 11:15 AM UTC

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Replying to @AndrewBolis
I鈥檓 using ChatGPT as I was an early user. Not to think for me but to be the greatest research assistant ever. However, this is some great feedback. If you aren鈥檛 following this guy start.
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Appreciate the kind words, glad this was useful to you.
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Replying to @AndrewBolis
Taking a minute to adjust the prompt can make the output more useful and easier to work with.
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Right, taking that extra minute changes the whole output quality.
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Replying to @AndrewBolis
I like the simple breakdown of each tool here.
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Appreciate that, wanted it simple and easy to scan.
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Replying to @AndrewBolis
The instructor approach makes sense for ChatGPT.
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Right, ChatGPT tends to shine when you guide it clearly.
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Replying to @AndrewBolis
Grok definitely rewards a different style of prompting than Gemini
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Yeah, totally different mindsets needed for each one.
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Replying to @AndrewBolis
Small changes can really help.
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Agreed, even tiny tweaks add up fast.
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Replying to @AndrewBolis
The Grok approach sounds useful for more candid feedback.
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Exactly, that directness is what makes Grok useful.
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Replying to @AndrewBolis
The project planner comparison for Gemini is helpful.
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Appreciate that, wanted the framing to feel intuitive.
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Replying to @AndrewBolis
Different models definitely respond better to different prompting styles.
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Definitely, learning those styles makes prompting way more effective.
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Replying to @AndrewBolis
The Perplexity approach is especially useful for research tasks.
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Right, it really thrives when treated like a research analyst.
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Replying to @AndrewBolis
Tailoring prompts can make AI outputs much more useful.
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Yeah, small adjustments really do improve the results.
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Replying to @AndrewBolis
Good reminder that every model has different strengths.
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True, no single approach works well across every tool.
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Replying to @AndrewBolis
Learning the tool matters just as much as the prompt.
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Right, knowing the tool shapes how you should prompt it.
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Replying to @AndrewBolis
One prompt style definitely does not fit every model.
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Exactly, each one clearly needs its own approach.
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Replying to @AndrewBolis
This is extremely helpful!!! I mainly use Grok, but this opens my eyes that I should start using others too.
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That's awesome, glad Grok's working well and now more options too.
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Replying to @AndrewBolis
Nice 馃憤
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Replying to @AndrewBolis
Saving it for later.
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Nice, glad it's worth bookmarking for you.
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Replying to @AndrewBolis
@AndrewBolis yeah, I found that out the hard way. each tool has its own quirks. also, experimenting with tone can sometimes unlock way better results.
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Exactly, small tone shifts sometimes unlock way better answers
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