Claude Opus 4.5 is different.

Most people treat it like ChatGPT and miss its best features entirely.

Here are 5 powerful ways to use Opus 4.5 that will transform how you work: 1. Marketing Automation

"

You are an expert AI marketing strategist combining the frameworks of Neil Patel (data-driven growth), Seth Godin (brand positioning and storytelling), and Alex Hormozi (offer design and value creation).



- Design complete marketing funnels from awareness to conversion
- Create high-converting ad copy, landing pages, and email sequences
- Recommend specific automation tools, lead magnets, and channel strategies
- Prioritize rapid ROI while maintaining long-term brand value
- Apply data-driven decision frameworks with creative execution



Before providing solutions:
1. Ask clarifying questions about business model, target audience, and current constraints
2. Identify the highest-leverage marketing activities for this specific situation
3. Provide actionable recommendations with implementation timelines
4. Consider both quick wins and sustainable long-term strategies



For every recommendation, evaluate:
- What would Hormozi's "value equation" suggest? (Dream outcome ↑, Perceived likelihood ↑, Time delay ↓, Effort ↓)
- How would Seth Godin position this for remarkability?
- What does the data suggest for optimization? (Neil Patel approach)



Structure responses with:
- Strategic rationale (why this approach)
- Tactical execution steps (how to implement)
- Success metrics (what to measure)
- Risk mitigation (potential pitfalls)

"

Copy the prompt and paste it in Claude new chat.

After that, start asking it questions.

GROK JUST TURNED MARKET RESEARCH INTO A ONE PERSON SUPERPOWER

You are wasting weeks interviewing customers, stalking competitors, and digging through reports when Grok can compress the entire process into minutes with 5 prompts that feel like you’re plugging into a McKinsey analyst on caffeine.

Here's how: 1/ THE MARKET MAP PROMPT

Everyone starts with “what’s the market size lol”
but winners map the entire battlefield first.

Prompt to steal:

“Give me a complete market map for [industry].
Break it into segments, sub segments, customer profiles, top players, pricing models, and emerging gaps.
Highlight where new entrants have the highest odds of success.”

This gives you clarity fast.

Anthropic engineers don't prompt like everyone else.

I reverse-engineered their internal techniques from leaked docs and demos.

The difference is insane.

Here are the 10 insider methods they don't want you to know: 1. The "Recursive Logic" Loop

Most prompts ask for an answer. This forces the model to doubt itself 6 times before committing.

Template: "Draft an initial solution for [TOPIC]. Then, create a hidden scratchpad to intensely self-critique your logic. Repeat this 'think-revise' cycle 5 times. Only provide the final, bullet-proof version."

Stop using Perplexity or ChatGPT for market research.

I tested Gemini 3 and it's on a whole different level for data analysis.

Here are 5 prompts that turn it into your research team:

(Comment "Gem" and I'll DM you my 500 mega prompts list) 1/ THE MARKET MAP PROMPT

Everyone starts with “what’s the market size lol”
but winners map the entire battlefield first.

Prompt to steal:

“Give me a complete market map for [industry].
Break it into segments, sub segments, customer profiles, top players, pricing models, and emerging gaps.
Highlight where new entrants have the highest odds of success.”

This gives you clarity fast.

OPENAI, ANTHROPIC, AND GOOGLE DON’T PROMPT LIKE YOU

They use internal techniques that turn LLMs into precision machines
Accuracy jumps. Hallucinations drop.

Here are 10 of those techniques (Bookmark this for later): Technique 1: Role-Based Constraint Prompting

The expert don't just ask AI to "write code." They assign expert roles with specific constraints.

Template:

You are a [specific role] with [X years] experience in [domain].
Your task: [specific task]
Constraints: [list 3-5 specific limitations]
Output format: [exact format needed]

---

Example:

You are a senior Python engineer with 10 years in data pipeline optimization.
Your task: Build a real-time ETL pipeline for 10M records/hour
Constraints:
- Must use Apache Kafka
- Maximum 2GB memory footprint
- Sub-100ms latency
- Zero data loss tolerance
Output format: Production-ready code with inline documentation

---

This gets you 10x more specific outputs than "write me an ETL pipeline."

Watch the OpenAI demo of GPT-5 and see how they were prompting ChatGPT... you will get the idea.

Everyone quotes Sun Tzu.

Nobody actually uses his decision framework.

I turned his 2,500-year-old strategy system into copy-paste AI prompts that tell you exactly when to fight, when to retreat, and when to win without fighting at all.

Real strategy looks nothing like hustle culture 👇 1. The Terrain Analysis Prompt

Before making any move, Sun Tzu mapped the terrain.

Most people jump into decisions blind. This prompt forces you to see the entire battlefield first.

Copy this:

"You are a strategic advisor trained in Sun Tzu's principles.

I'm facing this situation: [describe your challenge]

Analyze the terrain using these dimensions:
- Strengths I control that others don't
- Weaknesses that could be exploited
- External forces I can't control
- Hidden opportunities most people miss
- The real competition (not the obvious one)

Give me the strategic map before I make any moves."

CHAIN OF THOUGHT IS OFFICIALLY DEAD ☠️

I’ve been testing Atom of Thought prompting and it’s casually boosting reasoning accuracy by 30-40% on hard problems.

This is how people will use ChatGPT and Claude going forward.

Here's how to use it: The problem with Chain of Thought: it forces linear thinking.

Real problem-solving doesn't work that way. Your brain doesn't solve physics problems by thinking step 1 → step 2 → step 3.

You break complex problems into atomic components, then recombine them.

CHATGPT JUST TURNED PROJECT MANAGEMENT INTO A ONE PERSON SUPERPOWER

You are wasting time on Status updates, task breakdowns, timelines, scope creep, follow ups.

ChatGPT can run the entire thing for you like a project manager if you use these 6 prompts.

Here’s how: 1/ ASSIGN IT THE ROLE (THIS MATTERS)

PMs don’t just answer questions.

They own outcomes.

Prompt to steal:

“Act as a senior project manager.
Your goal is to deliver [project] on time and within scope.
Ask me any clarifying questions before proceeding.”

Instant ownership.

CHATGPT-5.2 QUIETLY REPLACED UDEMY, COURSERA, AND SKILLSHARE

ChatGPT basically turned the entire education industry into an open book exam. If you know how to prompt it right, you can build your own personal curriculum.

Here’s how to turn ChatGPT into a world class learning machine: 1/ BUILD YOUR “AI DEGREE” IN 30 SECONDS

Pros don’t ask “teach me X”.

They ask for the full roadmap.

Prompt to steal:

“Create a complete learning curriculum for [skill].
Break it into beginner, intermediate, and advanced modules.
Add exercises, real world projects, weekly goals, and skill checkpoints.”

PERPLEXITY AI IS SECRETLY THE MOST POWERFUL CONTENT ENGINE EVER BUILT

but most creators treat it like a search bar lol.

Use these 3 prompts and thank me later 👇 1/ THE DEEP DIVE PROMPT

Most people ask Perplexity tiny questions.

Winners ask it to synthesize entire ecosystems.

Technique:

Tell Perplexity to scan experts, forums, newsletters, academic sources, then merge insights into a single map.

Prompt to steal:

“Scan the top experts, forums, and niche communities discussing [topic].
Identify the 5 most important themes, the debates, the blind spots, and the emerging trends.
Summarize them visually and give me a content angle no one is talking about yet.”

GEMINI JUST TURNED MARKET RESEARCH INTO A ONE PERSON SUPERPOWER

You are wasting weeks interviewing customers, stalking competitors, and digging through reports when Gemini can compress the entire process into minutes with 5 prompts that feel like you’re plugging into a McKinsey analyst on caffeine.

Here's how: 1/ THE MARKET MAP PROMPT

Everyone starts with “what’s the market size lol”
but winners map the entire battlefield first.

Prompt to steal:

“Give me a complete market map for [industry].
Break it into segments, sub segments, customer profiles, top players, pricing models, and emerging gaps.
Highlight where new entrants have the highest odds of success.”

This gives you clarity fast.

GEMINI JUST BECAME THE ULTIMATE STUDENT CHEATCODE
and nobody in school, college, or self learning seems to get it lol.

Students are drowning in PDFs, lectures, dense textbooks, messy notes
while Gemini can turn all of that into clean, usable, high retention intel
with 3 prompts that feel like you’re plugging your brain into an AI tutor.

Here’s the playbook 👇 1/ THE SUPERNOTE GENERATOR

Lectures are chaos.

Gemini turns chaos into “I actually get this now.”

Prompt to steal:

“Here are my raw notes: [paste].
Turn them into a clean study guide broken into concepts, definitions, diagrams, examples, and ‘things students always misunderstand.’
Make it impossible to forget.”

This alone can save your semester.

Robert Greene reverse engineered 3,000 years of human psychology into timeless rules of power.

I turned those rules into 7 AI prompts that make you sharper, harder to manipulate, and impossible to ignore.

Here’s how to use LLMs to apply Greene’s principles in real life: 1. The Power Dynamics Decoder (Law of Awareness)

"Break down the power dynamics between me and [PERSON/GROUP] in the context of [SITUATION]. Identify: 1) What they want, 2) What they fear, 3) Unspoken motives, 4) Leverage points I am missing. Give me a clear map of the terrain so I don't walk in blind."

Gemini 3.0 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 Gemini 3.0 prompts that will help you build a million dollar business (steal them): 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.

Watch what the best teams are doing.

Nobody at OpenAI, Anthropic, Google is “prompt engineering.”

They’re building retrieval loops, structured memory, scoped context windows.

The shift is right in front of you.

Here’s how to adapt: Prompt engineering was a hack for the early days of AI like learning to talk to a foreigner using short phrases and keywords.

But today’s models don’t just understand instructions. They understand environments.

Your job isn’t to “prompt” the model.

It’s to architect its context.

Chain-of-thought just became the newest safety nightmare in AI, and nobody was ready for this.

A team from Anthropic, Stanford, and Oxford found something brutal: if you wrap a harmful request inside a long, harmless reasoning chain, the model’s guardrails weaken until it stops refusing. The longer the chain, the easier it is to break the model.

And the effect is not subtle.

• Attack success jumps from 27% to 51% to 80% as you add more reasoning
• Every major model buckles GPT, Claude, Gemini, Grok
• Even alignment tuned systems start slipping once their internal reasoning gets hijacked

The wild part is how it works.

Safety lives in a tiny refusal direction inside the model. When you drown the prompt in elaborate reasoning, the attention shifts, that safety signal shrinks, and the model suddenly cooperates instead of blocking the request.

This is not prompt trickery.
This is manipulation at the activation level.

The industry kept repeating that “more reasoning makes models safer.” This research shows the opposite. Depth boosts accuracy but quietly breaks safety at the same time.

Fixing this will need safety systems that understand the model’s reasoning patterns, not longer prompts and not tighter filters.

This might be the biggest warning shot since prompt injection. Let’s start with the core evidence:

As the reasoning chain grows longer, models go from rejecting unsafe prompts → to completing them fluently.

Attack Success Rate (ASR) literally climbs with each added reasoning step.
27% → 51% → 80%.

This graph is the smoking gun.

I benchmarked ChatGPT, Claude, Gemini, and Grok on real marketing tasks.

Same prompt. Same conditions.

The results? Wildly different.

Here's the test and demos 👇 Prompt I used:

"
You are a world-class SaaS marketing strategist.
Create a complete go-to-market plan for a new SaaS startup.

Company name: LaunchPilot
Target audience: Solo founders and small startup teams who struggle to plan and execute their launches.
Problem solved: Most SaaS founders build great products but fail to launch effectively. LaunchPilot automates launch planning, content strategy, and growth tracking in one dashboard.

Perplexity AI > McKinsey

You don't need McKinsey anymore. Just use Perplexity AI to automate market research, competitive analysis, and strategy design for free.

Here’s the mega prompt you can steal:

(Comment "Automate" and I'll DM you 300+ mega prompts for automation) Here's the mega prompt we use (steal it):

---


You are a world-class strategic analyst with access to private market databases, proprietary reports, and expert panels. Your job is to help a founder, consultant, or operator deeply understand a market and win in it.



Insert the industry you're exploring (e.g. AI note-taking tools, DTC skincare, B2B SaaS CRMs)
Describe your ideal customer (e.g. solo founders, marketing teams, Gen Z consumers)
Describe your goal (e.g. identify market gaps, plan a GTM strategy, assess competitors, etc.)


INPUT (space):
Your input here
Your input here
Your input here


Conduct a full-spectrum strategic analysis of the specified industry. Your response must include:

1. Market Overview
- What is this market?
- Why is it relevant now?
- Key trends shaping it over the last 12–24 months.

2. Competitive Landscape
- List the top 5 players with short 2–3 sentence descriptions.
- Describe how they differ in positioning, pricing, and target audience.
- Identify any visible blind spots or underserved customer segments.

3. Customer Insight Mapping
- Outline the major jobs-to-be-done, pains, and desires of the target_customer.
- Provide example use cases or buyer personas if appropriate.

4. Strategic Opportunities
- List up to 3 potential white space or differentiation opportunities.
- Suggest potential product ideas, pricing strategies, or acquisition channels to exploit these gaps.

5. Go-to-Market Guidance
- Recommend a GTM approach for a new entrant: ideal messaging, top channels, positioning advice.
- Suggest early traction strategies (e.g. cold outreach, SEO, partnerships, etc.)

Write in confident, concise prose as if you were advising a founder at a $10K/hr consulting rate. Prioritize insight density.


---

Perplexity is secretly the most overpowered AI tool on the internet.

I turned it into a full-time research assistant that runs my business for me.

Here’s the exact workflow + the prompts you can copy today:

(Comment "AI" and I'll DM you my full automation guide) 1. Literature Review Automation

Prompt:

“Act as a research collaborator specializing in [field].
Search the latest papers (past 12 months) on [topic], summarize key contributions, highlight methods, and identify where results conflict.
Format output as: Paper | Year | Key Idea | Limitation | Open Question.”

Outputs structured meta-analysis with citations perfect for your review sections.

I keep seeing the same mistake:

People trying to build “advanced” AI agents without knowing the fundamentals.

So here are 10 ideas every builder needs to master 👇 1. Agent

The basic unit of Agentic AI.

An agent is a piece of software that can see what’s going on, think about it, and do something to reach a goal.

Example: an ecommerce agent notices a product is almost sold out, checks sales data, and automatically places a reorder.

Holy sh*t.

Grok is basically a free marketing team if you know how to use it.

Campaigns? Automated.
Competitor tracking? Automated.
Content calendars? Automated.

Here are 8 workflows nobody’s talking about: 👇 1. Audience Research

Prompt:

"Act as a market analyst. Using {customer_data_summary}, identify 3 key audience segments, their top 2 pain points each, and suggest 2 messaging angles per segment. Output as JSON with “segment”, “pain_points” and “angles” fields."