Alex Prompter Profile picture
Jan 23 13 tweets 5 min read Read on X
I finally understand how LLMs actually work and why most prompts suck.

After reading Anthropic's internal docs + top research papers...

Here are 10 prompting techniques that completely changed my results 👇

(Comment "Guide" and I'll DM Claude Mastery Guide for free) Image
1/ Assign a Fake Constraint

This sounds illegal but it forces the AI to think creatively instead of giving generic answers.
The constraint creates unexpected connections.

Copy-paste this:

"Explain quantum computing using only kitchen analogies. Every concept must relate to cooking, utensils, or food preparation."
2/ Multi-Shot with Negative Examples

Everyone teaches positive examples. Nobody talks about showing the AI what NOT to do.

This eliminates 90% of bad outputs instantly.

Copy-paste this:

"Write a product description for noise-canceling headphones.

Bad example: 'Great headphones with amazing sound.'
Good example: 'Adaptive ANC technology blocks up to 99% of ambient noise while preserving natural conversation clarity through transparency mode.'

Now write one for wireless earbuds."Image
3/ Chain-of-Thought with Verification

Don't just ask for reasoning. Ask the AI to check its own logic at each step.
This catches errors before they compound.

Copy-paste this:

"Solve this problem: If a train travels 120 miles in 2 hours, then slows down by 25%, how far will it travel in the next 3 hours?

After each calculation step, verify if your logic is sound before proceeding. Flag any assumptions you're making."Image
4/ Role + Audience + Constraint (RAC)

The secret formula Anthropic engineers actually use.

Defining WHO the AI is, WHO it's talking to, and WHAT limitations exist.
Copy-paste this:

"You are a senior software architect. Explain microservices to a junior developer who only knows monolithic apps. Use no jargon they wouldn't understand. Maximum 200 words."Image
5/ Progressive Disclosure

Instead of dumping everything at once, feed information in stages.

This mirrors how the AI's attention actually works.

Copy-paste this:

"I'm going to describe a business problem in 3 parts. After each part, summarize what you understand before I continue.

Part 1: We have 50,000 users but only 2% convert to paid plans."Image
6/ Invoke Self-Critique Mode

This trick makes the AI switch from "helpful assistant" to "critical reviewer."
The quality jump is insane.

Copy-paste this:

"First, write a marketing email for a SaaS product. Then, critique your own email as a skeptical customer would. What objections would you have? Finally, rewrite it addressing those objections."
7/ Specify Output Format in Advance

Anthropic's docs are obsessed with this. Structure first, content second.

LLMs perform way better when they know the exact format.

Copy-paste this:

"Analyze this dataset and give me insights in this exact format:

Key Finding: [one sentence]
Supporting Data: [2-3 bullet points]
Recommendation: [one actionable step]
Risk: [one potential downside]

Dataset: [paste your data]"
8/ Temperature Control Through Language

You can actually influence the AI's creativity without changing settings.

Words like "creative," "conservative," or "unexpected" shift behavior.

Copy-paste this:

"Generate 5 unexpected marketing angles for a B2B accounting software. Avoid obvious benefits like 'saves time' or 'reduces errors.' Think laterally about emotional or social angles."
9/ Cognitive Forcing Functions

Force the AI to consider alternatives before committing to an answer.
This breaks the "first thought = final answer" problem.

Copy-paste this:

"Before answering this question, generate 3 completely different interpretations of what I might be asking. Then tell me which interpretation you're answering and why.

Question: How do I scale my business?"
10/ Meta-Prompting

The most advanced technique: ask the AI to improve its own instructions.
Let it engineer the perfect prompt for your task.

Copy-paste this:

"I want to generate cold email templates for enterprise sales. Before you write any templates, tell me:

What information you'd need to make them highly personalized
What format would work best
What examples would help you understand the tone I want

Then ask me for that information."
Most people prompt like they're talking to a human.

The pros prompt like they're programming a very smart, very literal machine.

Huge difference in results.
Your premium AI bundle to 10x your business

→ Prompts for marketing & business
→ Unlimited custom prompts
→ n8n automations
→ Pay once, own forever

Grab it today 👇
godofprompt.ai/complete-ai-bu…

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More from @alex_prompter

Feb 9
R.I.P McKinsey.

You don’t need a $1,200/hr consultant anymore.

You can now run full competitive market analysis using Claude.

Here are the 10 prompts I use instead of hiring consultants: Image
1/ LITERATURE REVIEW SYNTHESIZER

Prompt:

"Analyze these 20 research papers on [topic]. Create a gap analysis table showing: what's been studied, what's missing, contradictions between studies, and 3 unexplored opportunities."

I fed Claude 47 papers on AI regulation.

It found gaps 3 human researchers missed.
2/ COMPETITIVE INTELLIGENCE SCANNER

Prompt:

"Visit [competitor websites]. Extract: pricing tiers, feature comparisons, positioning strategy, target audience, and gaps in their offering we could exploit."

Saved me 12 hours of manual competitive analysis.

Claude even caught pricing they buried in FAQ pages.
Read 15 tweets
Feb 9
Claude Sonnet 4.5 is the closest thing to an economic cheat code we’ve ever touched but only if you ask it the prompts that make it uncomfortable.

Here are 10 Powerful Claude prompts that will help you build a million dollar business (steal them now): Image
1. Business Idea Generator

"Suggest 5 business ideas based on my interests: [Your interests]. Make them modern, digital-first, and feasible for a solo founder."

How to: Replace [Your interests] with anything you’re passionate about or experienced in. Image
2. Industry Pain Points Analyzer

"Analyze the current [industry] landscape. What are the top 3 pain points customers face? Give specific examples and explain briefly."

How to: Fill in [industry] with a sector you want to research. Image
Read 13 tweets
Feb 6
After 3 years of using Claude, I can say that it is the technology that has revolutionized my life the most, along with the Internet.

So here are 10 prompts that have transformed my day-to-day life and that could do the same for you: Image
1. Research

Mega prompt:

You are an expert research analyst. I need comprehensive research on [TOPIC].

Please provide:
1. Key findings from the last 12 months
2. Data and statistics with sources
3. Expert opinions and quotes
4. Emerging trends and predictions
5. Controversial viewpoints or debates
6. Practical implications for [INDUSTRY/AUDIENCE]

Format as an executive brief with clear sections. Include source links for all claims.

Additional context: [YOUR SPECIFIC NEEDS]
2. Writing white papers

Mega prompt:

You are a technical writer specializing in authoritative white papers.

Write a white paper on [TOPIC] for [TARGET AUDIENCE].

Structure:
- Executive Summary (150 words)
- Problem Statement with market data
- Current Solutions and their limitations
- Our Approach/Solution with technical details
- Case Studies or proof points
- Implementation framework
- ROI Analysis
- Conclusion and Call to Action

Tone: [Authoritative/Conversational/Technical]
Length: [2000-5000 words]

Include:
- Relevant statistics and citations
- Visual placeholders for charts/diagrams
- Quotes from industry experts (mark as [NEEDS VERIFICATION])

Background context: [YOUR COMPANY/PRODUCT INFO]
Read 12 tweets
Feb 5
How to write prompts for ChatGPT, Claude, and Gemini to get extraordinary output (without losing your mind):
Every good prompt has 3 parts:

1. CONTEXT (who you are, what you need)
2. TASK (what you want done)
3. FORMAT (how you want it delivered)

That's it. No 47-step frameworks. No PhD required.

Example:

CONTEXT: "I'm a startup founder pitching investors"
TASK: "Write a 1-minute elevator pitch for [product]"
FORMAT: "Hook + problem + solution + traction. Under 100 words."
PART 1: Context (the most skipped part)

Bad: "Write a marketing email"
Good: "I'm a B2B SaaS founder. My audience is CTOs at 50-500 person companies. They're skeptical of AI tools."

Why it works:

Context = AI understands your situation
No context = AI guesses and gets it wrong

Add 1 sentence of context. Output quality doubles.Image
Read 12 tweets
Feb 5
You don't need a copywriter.
You don't need a data analyst.
You don't need an SEO specialist.

Claude Skills replaced all 5 freelancers I was paying $4,000-$10,000/month for.

Total cost now? $20/month.

Here's exactly how to set it up (takes 10 minutes): 👇
First, what are Claude Skills and why are they different from regular prompts?

A prompt is a one-time instruction. You explain your brand voice, your format, your preferences. Every. Single. Time.

A Skill is a reusable instruction set you build ONCE. Claude loads it automatically whenever you need that type of work done.

Think of it like hiring a specialist who never forgets your brand guidelines and never sends you an invoice.Image
Here are the 5 freelancer roles Skills can handle:

→ Copywriter ($500-2,000/month): Blog posts, emails, social copy in YOUR voice
→ Data Analyst ($1,000-3,000/month): CSV analysis, reports, trend spotting
→ Graphic Designer ($500-1,500/month): Decks, formatted PDFs, HTML templates
→ Virtual Assistant ($800-2,000/month): Email drafts, SOPs, research summaries
→ SEO Specialist ($1,000-2,500/month): Briefs, keyword research, on-page optimization

That's 48-72 hours saved per month.
Read 10 tweets
Feb 5
I've been collecting JSON prompts that actually work in production for months.

Not the theoretical stuff you see in tutorials.

Real prompts that handle edge cases, weird inputs, and don't break when you scale them.

Here are the 12 that changed how I build with LLMs: Image
1. SCHEMA-FIRST ENFORCEMENT

Instead of: "Return JSON with name and email"

Use this:

"Return ONLY valid JSON matching this exact schema. No markdown, no explanation, no extra fields:
{
"name": "string (required)",
"email": "string (required, valid email format)"
}

Invalid response = failure. Strict mode."

Why it works: LLMs treat schema as hard constraint, not suggestion. 94% fewer malformed responses in my tests.
2. ESCAPE HATCH HANDLING

"If you cannot extract [field], return null for that field. Never skip fields, never add 'N/A' or 'unknown' strings.

Missing data = null value.

Example:
{"name": "John", "phone": null}

NOT: {"name": "John", "phone": "not provided"}"

Saved me from 1000+ string parsing bugs. Your downstream code will thank you.
Read 16 tweets

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