Alex Prompter Profile picture
Marketing + AI = $$$ 🔑 @godofprompt (co-founder) 🌎 https://t.co/O7zFVtEZ9H (made with AI) 🎥 https://t.co/IodiF1QCfH (co-founder)

Jan 23, 13 tweets

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)

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."

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."

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."

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."

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.

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→ Prompts for marketing & business
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→ Pay once, own forever

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godofprompt.ai/complete-ai-bu…

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