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https://twitter.com/1904718477296062464/status/1936348734897664220

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Louis Gleeson

@aigleeson

Feb 12

Anthropic's Claude completely changed how I write professionally.

Over 2 years, I produced 500 articles, 23 whitepapers, and 3 ebooks using just 10 core prompts.

They outperform human editors at $0.02 per 1000 words.

Here's every technique I extracted 👇

1. The 5-Minute First Draft

Prompt:

"Turn these rough notes into an article:

[paste your brain dump]

Target length: [800/1500/3000] words
Audience: [describe reader]
Goal: [inform/persuade/teach]

Keep my ideas and examples. Fix structure and flow."

2. Headline Machine (Steal This)

Prompt:

"Topic: [your topic]

Write 20 headlines using these formulas:
- How to [benefit] without [pain point]
- [Number] ways [audience] can [outcome]
- The [adjective] guide to [topic]
- Why [common belief] is wrong about [topic]
- [Do something] like [authority figure]
- I [did thing] and here's what happened
- What [success case] knows about [topic] that you don't

Rank top 3 by click-through potential."

Read 12 tweets

Louis Gleeson

@aigleeson

Feb 7

Holy shit... Claude Opus 4.6 just made every other AI look outdated.

I tested it against GPT-5 and Gemini 2.5 Pro with the same critical prompts.

The results will blow your mind.

Here are 10 prompts to steal:

1. THE CAMPAIGN STRATEGIST

Opus 4.6's 200K context window means it remembers your entire brand voice across all campaigns.

Prompt:

"You are my senior marketing strategist with 10 years of experience in [your industry]. First, analyze my brand voice by reviewing these materials: [paste 3-5 previous posts, your about page, and any brand guidelines].

Then create a comprehensive 30-day content calendar that includes: daily post ideas with specific angles, optimal posting times based on my audience timezone [specify timezone], platform-specific adaptations (Twitter, LinkedIn, Instagram), CTAs tailored to each post's goal, and content themes organized by week.

For the top 5 highest-potential posts, create A/B test variations testing different: hooks, CTAs, content formats (thread vs single post vs carousel), and emotional angles. Include your reasoning for why each variation might outperform.

Finally, identify 3 content gaps my competitors are filling that I'm currently missing."

Opus maintains perfect consistency across 200K tokens. Other models lose your voice after 3-4 posts.

2. THE SPY MACHINE

Opus 4.6 processes competitor data 3x faster than GPT-4 and catches patterns humans miss.

Prompt:

"Act as a competitive intelligence analyst. I need you to reverse-engineer my competitors' entire marketing strategy.

Analyze these 10 competitor assets: [paste competitor landing pages, ad copy, email sequences, social posts, or URLs].

For each competitor, extract and document:
1. Core value proposition and positioning angle
2. Specific CTAs used and where they're placed
3. Social proof tactics (testimonials, logos, stats, case studies)
4. Pricing psychology (anchoring, tiering, urgency tactics)
5. Content strategy patterns (topics, frequency, formats)
6. Unique differentiators they emphasize

Then give me:

- 5 strategies they're ALL using that I'm missing (ranked by potential revenue impact)
- 3 positioning gaps in the market none of them are addressing
- 2 specific weaknesses in their approach I can exploit
- 1 bold contrarian strategy that goes against what everyone's doing

Present findings in a strategic brief format with implementation difficulty and expected timeline for each tactic."

Opus reads entire competitor websites in one shot. No "context too long" errors.

Read 12 tweets

Louis Gleeson

@aigleeson

Feb 5

I've watched hundreds of people use Perplexity completely wrong.

That's insane.

These 10 prompts replace 20 hours of desk research. Not by being faster, but by being narrower.

Each one answers the concrete business questions founders actually have: Who buys first, why now, what stops them, what incumbents ignore.

Here's what actually works:

1/ "Who are the first 100 customers for [product]? Give me specific personas, where they hang out online, what triggers their buying decision, and which pain point they'll pay to solve first."

2/ "Why would someone switch from [incumbent] to [new solution] right now? What changed in their world that makes timing matter?"

Read 12 tweets

Louis Gleeson

@aigleeson

Jan 30

I don't use ChatGPT and Grok for research.

I recently tested Perplexity for a week and it's on a whole different level.

Here are 7 prompts that turn Perplexity into your AI research analyst:

1. Market Timing Intel

Prompt:

"Find every major announcement, funding round, and product launch in [industry] from the last 90 days. For each one, show me: the date it happened, the companies involved, the dollar amounts if applicable, and most importantly - what trend or shift this signals. Then connect the dots: what pattern emerges when you look at all of these together? What's about to happen in this market that most people aren't seeing yet?"

Perplexity pulls real-time data with sources. ChatGPT hallucinates dates and makes up funding rounds.

I used this to spot the AI coding tools wave 4 months early. Built a product that hit $40k MRR because I saw it coming.

2. Competitive Teardown

Prompt:

"Deep dive on [company name]. I need: their actual revenue model (not what they say publicly, what they actually charge), their customer acquisition strategy (which channels they're investing in based on job postings and ads), their product roadmap clues (based on recent hires, patents, and beta features), their weaknesses (negative reviews, customer complaints, what people say on Reddit), and their next move (based on their hiring, funding, and market position). Give me sources for everything."

ChatGPT gives you generic competitive analysis. Perplexity finds the actual Reddit threads where users complain, the actual job postings that reveal strategy, the actual data.

I've used this to reverse-engineer 30+ competitors. Know their playbook before they execute it.

Read 10 tweets

Louis Gleeson

@aigleeson

Jan 28

While everyone debates Claude vs ChatGPT, Gemini 3.0 quietly became the best free AI for financial analysis.

I've tested it for 6 months on:

- SEC filing analysis
- Earnings call transcripts
- Market sentiment
- Competitor research

Here are 8 prompts that actually deliver:

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.

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.

Read 11 tweets

Louis Gleeson

@aigleeson

Jan 27

Omg...

I switched from ChatGPT to Claude for content writing and my engagement shot up 340% across all platforms. 😳

The secret? These 10 prompts that make Claude write like an actual human.

Here's exactly what I use:

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.

Read 12 tweets

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