Hasan Toor Profile picture
Feb 6 13 tweets 3 min read Read on X
Everyones using ChatGPT for content writing. Meanwhile Claude is quietly outperforming it on every platform.

I switched 3 months ago and my engagement jumped 340% across all socials.

The secret isnt Claude itself. Its the 10 prompts that make it write like an actual human, not a corporate robot.

Here they are: 🧵Image
1. The Coffee Shop Test

Prompt:

"Write this like you're explaining it to a friend over coffee. No marketing speak. No corporate jargon. Just straight talk about [topic]. If it sounds like a LinkedIn post, rewrite it."

Claude actually gets this. ChatGPT still sounds like it's pitching a SaaS product.
2. Voice Finder

Prompt:

"Give me 5 different ways to say this same idea. Make each one sound like a different person wrote it - one cynical, one excited, one skeptical, one matter-of-fact, one surprised."

This is how I find MY voice. Pick the version that feels most natural, then Claude refines it.
3. AI Word Assassin

Prompt:

"Rewrite this without any words that appear in typical AI-generated content. Ban these: 'delve', 'crucial', 'leverage', 'landscape', 'robust', 'game-changer'. Use conversational alternatives."

Game. Changer. (see what I did there?)

The difference is night and day.
4. Twitter Fight Mode

Prompt:

"Write this like you're responding to someone who challenged you on Twitter. Keep it factual but add personality. Show some edge without being aggressive."

My engagement tripled when I stopped sounding like a press release and started sounding like a human with opinions.
5. Story Time Formula

Prompt:

"Take this topic and write it like you're telling a story about something that just happened to you. Start with 'This is wild' or 'Holy shit' or 'Okay so'. Make it feel spontaneous."

People engage with stories, not statements. Claude nails this format better than any other AI.
6. Rhythm Master

Prompt:

"Write this in short, punchy sentences. Max 15 words per sentence. Vary the rhythm - some super short (3-5 words), some medium (8-12 words). Never three long sentences in a row."

Rhythm matters. ChatGPT writes like a textbook. Claude writes like someone who actually understands pacing.
7. Pattern Interrupt

Prompt:

"Add one unexpected comparison or analogy that makes people stop scrolling. Don't use common comparisons. Make it weird but accurate. Something that makes people think 'huh, never thought of it that way.'"

The best content makes people pause. Claude's analogies actually land instead of feeling forced.
8. Fluff Destroyer

Prompt:

"Remove every adjective and adverb that doesn't add new information. If 'very' or 'really' or 'extremely' appears, cut it or replace with a stronger verb. Show, don't tell."

Strong writing doesn't need emphasis markers. ChatGPT loves fluff. Claude respects your reader's time.
9. Contrarian Angle

Prompt:

"Write this like you're contradicting conventional wisdom. Lead with what everyone gets wrong, then explain what's actually true. Make it feel like you're letting someone in on a secret."

Contrarian angles get engagement. People share things that challenge their assumptions.
10. Specificity Machine

Prompt:

"Take this draft and add 3 specific examples or numbers. Replace every vague claim with concrete evidence. If you can't find real data, flag it so I can add it manually."

Specificity = credibility. "Engagement increased" vs "Engagement went up 340%"

See the difference?
The secret isn't the AI you use.

It's how you prompt it.

ChatGPT is trained to be helpful and safe. Claude is trained to actually sound human.

That difference shows up in every single post.

My content stopped sounding like AI the day I switched.

Try these prompts. Thank me later.
As always, Thank you for reading this.

If you enjoyed this post:

1. Follow me @hasantoxr for more of these
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More from @hasantoxr

Feb 6
Holy shit... Someone just built an AI CFO that catches financial problems BEFORE they destroy your startup.

It's called Nume and it monitors your finances 24/7 without dashboards or prompting.

No finance degree. No spreadsheets. No "wait, where did the money go?"

Here's how it works: ↓
Most finance tools show you dashboards you'll never check.

@NumeAI does the opposite: it watches your money 24/7 and TELLS YOU when something's wrong.

Like a real CFO sending you a Slack message: "Your burn rate just spiked 34%."

No login. No navigation. Just alerts that matter.

Try it: nume.ai
I connected QuickBooks and my bank account in 6 minutes.

Within 10 minutes, Nume found 3 cash flow problems I didn't know existed.

No tutorial. No onboarding call. No "wait, which dashboard do I check?"

It just started telling me what was wrong and why it mattered.
Read 9 tweets
Feb 4
This site is literally a prompt library with 1000+ engineered prompts.

100% free. Image
Check it out: promptly.fyi/libraryImage
BONUS:

I also post content on Instagram.

So, if you want to get insights with my videos, then do follow me here:

instagram.com/hasantoxrImage
Read 4 tweets
Feb 1
After 2 years of using AI for research, I can say these tools have revolutionized my workflow.

So here are 15 prompts across Claude, Gemini, ChatGPT, and Perplexity that transformed my research (and could do the same for you): Image
1/ LITERATURE REVIEW → Claude Sonnet 4.5

"Analyze these 30 papers on [TOPIC]. Find contradictions, research gaps, and emerging debates. Prioritize findings that challenge consensus."

Why Claude: 200K context window = reads entire papers, not just abstracts. Image
2/ RESEARCH QUESTION REFINEMENT → ChatGPT 4o

"My broad interest: [TOPIC]. Generate 10 falsifiable research questions. For each: explain methodology, expected contribution, and why current literature can't answer it."

Why 4o: Extended reasoning catches scope creep and logical gaps.Image
Read 18 tweets
Jan 31
After spending $5,000 on prompt engineering courses, I realized they're all teaching outdated techniques.

Here are 6 powerful prompts that actually matter in 2026 (copy & paste into Grok, Claude, or ChatGPT): Image
1. Deep researcher

Prompt:

"I'm researching [topic]. First, break down this topic into 5 key questions that experts would ask. Then for each question: 1) Provide the mainstream view with specific examples, 2) Identify 2-3 contrarian perspectives that challenge this view, 3) Explain what data or evidence would prove each side right. Finally, synthesize this into a framework I can use to evaluate new information on this topic."

Researchers waste weeks reading scattered sources.

This structures your entire research process upfront. I used this to write a market analysis that landed a $50k client.
2. The content mutation engine

Prompt:

"Here's my core idea: [paste idea]. Transform this into 10 different formats: 1) A contrarian Twitter thread that challenges conventional wisdom, 2) A case study showing how someone failed by ignoring this, 3) A data-driven LinkedIn post with specific numbers, 4) A 'day in the life' story format, 5) A debate between two experts who disagree, 6) A historical parallel from a different industry, 7) A prediction about what happens in 12 months if people ignore this, 8) A beginner's mistake breakdown, 9) A tool/framework people can copy-paste, 10) A personal confession about when I got this wrong."

Content creators burn out creating from scratch daily.

One idea becomes 10 pieces of content. My engagement went up 290% when I stopped chasing new ideas and started mutating existing ones.
Read 9 tweets
Jan 31
After 6 months of testing, Gemini 3.0 is the most underrated AI for financial analysis.

It's completely free and outperforms GPT-5.2 on market research.

Here are 8 prompts for investment research that actually work: Image
1. Earnings Call Decoder

Prompt:

"Analyze the last 3 earnings calls for [company ticker].

Don't summarize what they said - tell me what they're NOT saying.

Focus on:

1) Questions the CEO dodged or gave vague answers to,
2) Metrics they stopped reporting compared to previous quarters,
3) Language changes - where they went from confident to cautious or vice versa,
4) New talking points that appeared suddenly,
5) Guidance changes and the exact wording they used to frame it. Then connect this to their stock performance in the 2 weeks following each call.

What pattern emerges?"

Gemini can process multiple transcripts simultaneously and catch subtle language shifts. I caught a revenue recognition issue 3 weeks before the stock tanked because the CFO changed how he talked about "bookings." Made 34% shorting it.Image
2. Sector Rotation Signals

Prompt:

"I'm tracking [sector]. Build me a real-time dashboard view:

1) Which stocks in this sector hit 52-week highs this week vs last week,
2) Institutional buying patterns - which funds increased positions based on 13F filings,
3) Insider trading activity with specific executives and dates,
4) Analyst upgrades/downgrades with the reasoning they gave,
5) Options flow - unusual call or put activity that suggests big bets.

Synthesize this: is smart money rotating into or out of this sector right now? Give me the 3 strongest signals."

ChatGPT hallucinates SEC filings. Gemini pulls actual data. I've caught 4 sector rotations early using this. Got into cybersecurity stocks 6 weeks before they ripped because institutional money was quietly accumulating while everyone watched tech.Image
Read 11 tweets
Jan 31
BREAKING: OpenAI and Anthropic engineers leaked these prompt techniques in internal docs.

I've been using insider knowledge from actual AI engineers for 6 months.

These 8 patterns increased my output quality by 200%.

Here's what they don't want you to know: 👇 Image
1. Constitutional AI Prompting

Instead of telling the LLM what TO do, tell it what NOT to do.

Bad: "Write professionally"

Good: "Never use jargon. Never write sentences over 20 words. Never assume technical knowledge."

Anthropic's research shows negative constraints reduce hallucinations by 60%.Image
2. Chain-of-Thought Forcing

Don't ask for reasoning. FORCE it to show work first.

Add this line: "Before answering, write your step-by-step reasoning inside tags."

OpenAI engineers use this internally for complex tasks.

It catches errors before they reach the output.Image
Read 12 tweets

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