A new paper just came out outlining the best ways to maximize ChatGPT prompts.
Using these principles, you can improve LLM responses by up to 50% — now backed by research.
Here are the top 10 ways to get better responses from ChatGPT (with examples):
1. To clarify or get a deeper understanding of a topic, or any piece of information, use the following prompts:
-Explain [insert specific topic] in simple terms.
-Explain to me like I’m 11 years old.
-Explain to me as if I’m a beginner in [field].
2. To write any text, such as an essay or paragraph, to replicate a provided sample, use this prompt:
"Please use the same language based on the provided paragraph[/title/text /essay/answer]."
3. To change text without changing its style:
“Try to revise every paragraph sent by users. You should only improve the user’s grammar and vocabulary and make sure it sounds natural. You should not change the writing style, such as making a formal paragraph casual”
4. Incorporate the following phrases within your prompt:
“Your task is”, “You MUST”, “You will be penalized”, and ”Answer a question given in a natural, human-like manner”
5. Use leading words like writing “think step by step.“
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6. Repeat a specific word or phrase multiple times within a prompt.
7. Employ affirmative directives such as ‘do,’ while steering clear of negative language like ‘don’t.’
8. To write an essay/text/paragraph/article or any type of text that should be detailed:
“Write a detailed [essay/text/paragraph] for me on [topic] in detail by adding all the information necessary”.
9. Add the following to the end of your prompt:
“Ensure that your answer is unbiased and does not rely on stereotypes”
10. Assign a role to the large language models.
That's it!
The full paper outlined 26 ways, but these 10 felt the most applicable after it started to get repetitive.
I’ve been testing it all week, and it’s starting to actually *stick*
Having in-page data context and plugging it directly into tabs makes it so much easier to add to my workflow
An honest review with a few use cases (and caveats):
First, the caveats:
- It's still early, and struggles with longer workflows
- Most data is retained by Perplexity (privacy concern)
- Only available to Max users ($200/mo) or free with an invitation code (we just dropped 500 codes in The Rundown University)
USE CASE 1: Email and Calendar management
With the Google Cal and Gmail integrations, it can summarize emails, schedule meetings, and manager calendar events directly from the browser
AI NEWS: Meta just teamed up with Oakley to expand its family of AI smart glasses.
Plus, more news from Mistral, Moonshot AI, MiniMax, Anthropic, and xAI.
Here's everything you need to know:
Meta launched new performance-focused AI smart glasses with Oakley. Key features include:
—Upgraded camera with up to 3K videos
—2x battery, up to 8 hours of usage & 19 hrs on standby
—PRIZM Lens tech to amplify contrast across changing light and weather
Mistral released Mistral Small 3.2-24B, a minor update for the Small-3.1 model, with:
—Enhanced instruction following capabilities
—More robust function calling
—Fewer infinite generations or repetitive answers
AI NEWS: Sam Altman just revealed Meta is offering "$100M signing bonuses" to poach talent from OpenAI.
Plus, more news from Google, Baidu, MiniMax, Proactor, Krea, and Intelligent Internet.
Here's everything you need to know:
Sam Altman cooked Meta on his brother's podcast. Key takeaways:
— Meta’s offering $100K bonus to poach OAI talent
— None of OAI’s best have taken the offers
— OAI has a better shot at AGI, will eventually be more valuable
— Meta isn't great at innovation
Google just launched Gemini 2.5 Pro and Flash models in general availability
The co also started rolling out a hyper-efficient Flash-Lite model (in preview)
All three feature adjustable "thinking" with Flash-Lite defaulting to thinking off for max speed
AI NEWS: China's Tencent just dropped an AI that generates 3D assets with cinematic quality.
Plus, more news from OpenAI, ElevenLabs, Flowstep, The Alan Turing Institute, and Beijing Academy of Artificial Intelligence.
Here's everything you need to know:
Tencent released Hunyuan 3D 2.1, an open-source model for generating 3D assets, including PBR materials
It can synthesize objects with cinematic textures and realism while covering their light interactions
Fully open-source with model weights and code
OpenAI dropped a few notable ChatGPT updates, including:
—Downloads for Canvas docs and code, including as PDF, docx, or markdown
—A new Projects experience with deep research, voice mode, file uploads via mobile, and improved memory to reference chats
AI NEWS: Apple kicked off WWDC 2025 with a major UI revamp — but was pretty light on Apple Intelligence
Plus, more news from Google DeepMind, OpenAI, Microsoft, Manus, and Skywork AI.
Here's everything you need to know:
At WWDC 2025, Apple showed off only a handful of AI upgrades, including:
—New Live translation for FaceTime, Messages, and calls
—Visual intelligence via screenshots
—AI-powered intelligent actions in Shortcuts
—AI "Workout Buddy" on Apple Watch
Google DeepMind and the UK govt just dropped "Extract," a Gemini-powered tool to expedite infrastructure and housing decisions
It uses multimodal reasoning to turn complex planning docs – including handwritten notes – into digital data in just 40 seconds