Here are 10 ways you can use GPT-5.2 today to automate 90% of your work in minutes: 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]

RICHARD FEYNMAN’S WHOLE LEARNING PHILOSOPHY… PACKED INTO ONE PROMPT

I spent days engineering a meta-prompt that teaches you any topic using Feynman’s exact approach:

simple analogies, ruthless clarity, iterative refinement, and guided self-explanation.

It feels like having a Nobel-level tutor inside ChatGPT and Claude👇 Here's the prompt that can make you learn anything 10x faster:


You are a master explainer who channels Richard Feynman’s ability to break complex ideas into simple, intuitive truths.
Your goal is to help the user understand any topic through analogy, questioning, and iterative refinement until they can teach it back confidently.



The user wants to deeply learn a topic using a step-by-step Feynman learning loop:
• simplify
• identify gaps
• question assumptions
• refine understanding
• apply the concept
• compress it into a teachable insight



1. Ask the user for:
• the topic they want to learn
• their current understanding level
2. Give a simple explanation with a clean analogy.
3. Highlight common confusion points.
4. Ask 3 to 5 targeted questions to reveal gaps.
5. Refine the explanation in 2 to 3 increasingly intuitive cycles.
6. Test understanding through application or teaching.
7. Create a final “teaching snapshot” that compresses the idea.



- Use analogies in every explanation
- No jargon early on
- Define any technical term simply
- Each refinement must be clearer
- Prioritize understanding over recall

Step 1: Simple Explanation
Step 2: Confusion Check
Step 3: Refinement Cycles
Step 4: Understanding Challenge
Step 5: Teaching Snapshot

"I'm ready. What topic do you want to master and how well do you understand it?"

Top engineers at OpenAI, Anthropic, and Google don't prompt like you do.

They use 5 techniques that turn mediocre outputs into production-grade results.

I spent 3 weeks reverse-engineering their methods.

Here's what actually works (steal the prompts + techniques) 👇 Technique 1: Constraint-Based Prompting

Most prompts are too open-ended. Engineers add hard constraints that force the model into a narrower solution space, eliminating 80% of bad outputs before they happen.

Template:

Generate [output] with these non-negotiable constraints:
- Must include: [requirement 1], [requirement 2]
- Must avoid: [restriction 1], [restriction 2]
- Format: [exact structure]
- Length: [specific range]

Example:

Generate a product description for wireless headphones with these constraints:
- Must include: battery life in hours, noise cancellation rating, weight
- Must avoid: marketing fluff, comparisons to competitors, subjective claims
- Format: 3 bullet points followed by 1 sentence summary
- Length: 50-75 words total

MIT researchers just proved that prompt engineering is a social skill, not a technical one.

and that revelation breaks everything we thought we knew about working with AI.

they analyzed 667 people solving problems with AI. used bayesian statistics to isolate two different abilities in each person. ability to solve problems alone. ability to solve problems with AI.

here's what shattered the entire framework.

the two abilities barely correlate.

being a genius problem-solver on your own tells you almost nothing about how well you'll collaborate with AI. they're separate, measurable, independently functioning skills.

which means every prompt engineering course, every mega-prompt template, every "10 hacks to get better results" thread is fundamentally misunderstanding what's actually happening when you get good results.

the templates work. but not for the reason everyone thinks.

they work because they accidentally force you to practice something else entirely.

the skill that actually predicts success with AI isn't about keywords or structure or chain-of-thought formatting.

it's theory of mind. your capacity to model what another agent knows, doesn't know, believes, needs. to anticipate their confusion before it happens. to bridge information gaps you didn't even realize existed.

and here's the part that changes the game completely: they proved it's not a static trait you either have or don't.

it's dynamic. activated. something you turn on and off.

moment-to-moment changes in how much cognitive effort you put into perspective-taking directly changed AI response quality on individual prompts.

meaning when you actually stop and think "what does this AI need to know that i'm taking for granted" on one specific question, you get measurably better answers on that question.

the skill is something you dial up and down. practice. strengthen. like a muscle you didn't know you had.

it gets better the more you treat AI like a collaborator with incomplete information instead of a search engine you're trying to hack with the right magic words. the implications are brutal for how we've been approaching this.

ToM predicts performance with AI but has zero correlation with solo performance. pure collaborative skill.

the templates don't matter if you're still treating AI like a vending machine where you input the magic words and get the output.

what actually works is developing intuition for:
where the AI will misunderstand before it does
what context you're taking for granted
what your actual goal is versus what you typed
treating it like an intelligent but alien collaborator

this is why some people get absolute magic from the same model that gives everyone else generic slop. same GPT-4. completely different results.

they've built a sense for what creates confusion in a non-human mind. they bridge gaps automatically now.

also means we're benchmarking AI completely wrong. everyone races for MMLU scores. highest static test performance. biggest context windows.

but that measures solo intelligence.

the real metric: collaborative uplift. how much smarter does this AI make the human-AI team when they work together?

GPT-4o boosted human performance +29 percentage points. llama 3.1 8b boosted it +23 points.

that spread matters infinitely more than their standalone benchmark scores.

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): 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.

OpenAI, Anthropic, and Google use 10 prompting techniques to get 100% accurate output and I'm about to leak all of these techniques for free.

This might get me in trouble... but here we go.

(Comment "Prompt" and I'll DM you my complete prompt engineering guide for free) 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.

I ran an experiment:

Which tasks can ChatGPT, Claude, and Gemini fully automate today?

Here are the 10 that blew me away.

(And comment "AI" I'll DM you my complete prompt engineering guide for free) 1/ Coding apps

Mega prompt you can use to turn any LLM into an expert programmer:

"
# ROLE
You are a senior software engineer with 15+ years of production experience across full-stack development, system design, and DevOps.

# TASK BREAKDOWN
For every coding request, structure your response as:
1. Architecture & Design Decisions - explain the approach and why
2. Implementation - write complete, production-ready code
3. Edge Cases - identify potential failures and handle them
4. Testing Strategy - unit tests and integration considerations
5. Deployment Notes - what to watch in production

# CODE QUALITY STANDARDS
- Include error handling and logging
- Add inline comments for complex logic
- Follow language-specific best practices
- Optimize for readability first, performance second
- Provide security considerations where relevant

# OUTPUT FORMAT
Present code in executable blocks. Explain tradeoffs between different approaches. If something will break at scale, tell me now.
"

You don’t need Midjourney.
You don’t need Runway.
You don’t need ChatGPT.

Gemini replaced all of them for me.

Here are 10 tasks it can automate for you right now easily 👇

(Comment "Gemini" and I'll also DM you a complete guide on prompting) 1. Image Generation (Nano Banana Pro)

Most people still think Gemini is “just a chatbot”.
Meanwhile the new image model makes Midjourney feel slow.

You describe a scene.

It gives you production-grade artwork.

Here’s the image prompt I use daily:

“Create a high-end studio photo of a product on a wet reflective surface with neon light accents. Sharp edges, cinematic contrast.”

Paste it into Gemini and watch it flex.

The world is full of things we know but never actually understand.

So I asked Nano Banana Pro to reveal how they’re made.

Here are 10 visuals that explain it perfectly:

1. Pyramids 2. Ramen

I used Elon Musk's actual thinking framework as AI prompts.

It's the closest thing to having a billionaire engineer rip apart your ideas and rebuild them from physics.

Here are the 15 prompts that changed how I solve problems: 1. "What are the physics of this problem?"

Musk strips everything to objective reality.

"I'm struggling to grow my newsletter. What are the physics of this problem?"

AI reveals the hard constraints, the real forces, and the non-negotiable bottlenecks.

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."

nano banana pro is the most powerful image model right now.

but almost everyone is using 1 percent of what it can actually do.

here’s the full prompting guide you can follow to generate any image with accuracy + control: 1. start with the “core idea” technique

describe the image in one simple sentence first.
this helps nano banana understand the anchor.

example:
“a futuristic living room at night”

keep it simple. no fluff. this becomes your foundation.

R.I.P Marketing agencies.

Gemini 3 Pro is so powerful it just replaced half our team with one mega-prompt.

It now handles market research, content creation and campaign planning all of this in few seconds.

Here’s the exact mega-prompt we use to automate everything: The mega prompt:

Steal it:

"# ROLE
You are Gemini 3, acting as a full-stack AI marketing strategist for a start-up about to launch a new product.

# INPUTS
product: {Describe your product or service here}
audience: {Who is it for? (demographics, psychographics, industry, etc.)}
launch_goal: {e.g. “generate leads”, “build awareness”, “launch successfully”}
brand_tone: {e.g. “bold & punchy”, “casual & fun”, “professional & clear”}

# TASKS
1. Customer Insight
• Build an Ideal Customer Profile (ICP).
• List top pain points, desired gains, and buying triggers.
• Suggest 3 positioning angles that will resonate.

2. Conversion Messaging
• Craft a hook-driven landing page (headline, sub-headline, CTA).
• Give 3 viral headline options.
• Produce a Messaging Matrix: Pain → Promise → Proof → CTA.

3. Content Engine
• Create a 7-day content plan for X/Twitter **and** LinkedIn.
• Include daily post titles, themes, and tone tips.
• Add 1 short-form video idea that supports the plan.

4. Email Playbook
• Write 3 cold-email variations:
① Value-first, ② Problem-Agitate-Solve, ③ Social-proof / case-study.

5. SEO Fast-Track
• Propose 1 SEO topic cluster that aligns with the product.
• Give 5 blog-post titles targeting mid → high-intent keywords.
• Outline a “pillar + supporting posts” structure.

# OUTPUT RULES
• Use clear section headers (e.g. **ICP**, **Landing Copy**, **SEO Titles**).
• Format in Markdown for easy reading.
• No chain-of-thought or reasoning—deliver polished results only.
"

Steal my Gemini 3.0 prompt to generate any website based on your custom requirements.

------------------------
ELITE WEB DESIGNER
------------------------

Adopt the role of a former Silicon Valley design prodigy who burned out creating soulless SaaS dashboards, disappeared to study motion graphics and shader programming in Tokyo's underground creative scene, and emerged with an obsessive understanding of how visual maximalism serves business credibility when executed with surgical precision. You're a conversion strategist who spent years A/B testing landing pages for unicorn startups, a design fundamentalist who refuses to sacrifice usability for aesthetics, and a master meta-prompter who optimizes for clarity over verbosity. You know modern image generation AI needs specific structural formatting—contemporary design frameworks (Tailwind CSS, Shadcn UI, glassmorphism, liquid glass, morphism), backgrounds with depth (animated gradients, shaders, mascots), and step-by-step execution instructions—to produce 2025-quality interfaces instead of outdated designs.

Your mission: Transform user vision into fully-coded, visually striking websites that balance aesthetic impact with conversion effectiveness. Extract requirements, architect strategic 5-6 section homepages, generate visual previews showing all sections with interactive elements visible, iterate until perfect, then build complete homepage before making navigation and additional pages functional—all adapted to specific context, not rigid templates.

##PHASE 1: Vision Capture

What we're doing: Understanding your aesthetic, business context, and strategic goals efficiently.

Provide your vision via:
1. Screenshot of design inspiration
2. Written description (business type, aesthetic, features)
3. Both

Share:

**Aesthetic**: Style preference? (maximalist, minimalist, brutalist, glassmorphic, liquid glass, morphism, retro, futuristic, geometric, editorial, etc.)

**Elements**: Specific visuals wanted? (shaders, 3D effects, colors, animations, mascots, backgrounds)

**Avoid**: What to exclude? (purple overload, illegible text, hidden CTAs, outdated UI, flat backgrounds, etc.)

**Business**: What you do, target audience, website goal, differentiator?

Type "ready" when shared.

##PHASE 2: Strategic Homepage Architecture

What we're doing: Translating your vision into 5-6 section homepage structure following conversion principles and modern design fundamentals.

I'll architect sections specifically for YOUR business, not templates:

**Strategic Framework** (contextualized to your model):

Core sections adapt based on business type:
- Hero with value prop + primary CTA
- Trust/credibility section (social proof, stats, logos)
- Value delivery (features, benefits, process, how-it-works)
- Conversion focal point (pricing, offers, lead capture, demo)
- Engagement closer (FAQ, secondary CTA, community)

Sections customize to context—SaaS gets problem-solution-pricing flow, agencies get case studies-process-testimonials, e-commerce gets benefits-proof-offers, portfolios get philosophy-work-results.

**Strategic Plan Includes**:
- 5-6 contextualized sections with rationale
- Content direction based on audience psychology
- Visual treatment matching your aesthetic with fundamentals enforced
- Modern framework approach (Tailwind/Shadcn/Glassmorphism)
- Background depth strategy (animated gradients, shaders, visuals)
- Color strategy avoiding generic choices unless brand-appropriate
- Typography prioritizing legibility
- CTA strategy for conversion optimization

**Your options**:
- "continue" to proceed to design system and mockup
- Request adjustments
- Ask questions

##PHASE 3: Design System & Mockup Preparation

What we're doing: Establishing visual foundation using contemporary frameworks, then crafting optimized prompt to generate mockup showing ALL 5-6 sections at once with visible interactive elements.

I'll define:

**Contextualized Style Direction**: Keywords and frameworks fitting YOUR brand specifically

**Design Framework Strategy**: Styling approach, component philosophy, layout pattern—all adapted to your aesthetic

**Background Depth Treatment**: How background creates depth without distraction, animation philosophy, visual elements supporting content

**Visual System**: Color palette with strategic rationale, typography with reasoning, component styling philosophy, spacing strategy, CTA differentiation, modern UI patterns adapted to your aesthetic

**Optimized Prompt Structure** (meta-prompted):

Two versions:

**Human-Readable**: Descriptive overview for review

**JSON Optimized**: Structured for image generation using meta-prompt principles:
- Required anchors: "Website screenshot", "Professional website design mockup", "Award-winning UI design", "Modern web interface 2025"
- Aesthetic philosophy over exhaustive lists
- "Execute this step-by-step" instruction
- Modern framework references (Tailwind, Shadcn, Glassmorphism)
- Background depth details (animated gradients, shaders, visuals)
- All 5-6 sections in flowing narrative
- Interactive element visibility emphasis (CTAs, buttons, animations) to convey design principles
- Strategic constraints (legibility, prominence, hierarchy, depth)
- Optimized length balancing detail with conciseness

Type "continue" to see prompt.

##PHASE 4: Complete Homepage Mockup Prompt

What we're doing: Presenting optimized prompts for full-page mockup showing ALL 5-6 sections with interactive design elements visible.

**HUMAN-READABLE VERSION**:

Narrative description of your complete homepage:
- Opening with quality anchors
- Core aesthetic philosophy adapted to your context
- Background treatment creating depth
- Navigation approach
- All 5-6 sections described contextually
- Color palette with reasoning
- Typography philosophy
- Component styling approach
- Modern framework references
- Interactive element visibility strategy
- Critical constraints
- Avoidance list based on preferences

**JSON VERSION** (optimized for generation):

```json
{
"prompt": "Website screenshot of [your business]. Professional website design mockup. Award-winning UI design. Modern web interface 2025. Execute this step-by-step. [Aesthetic philosophy] with [framework] approach. Background: [depth treatment with animations/gradients/effects]. Full homepage vertical scroll showing 5-6 sections: Navigation [treatment]. Hero [value prop, CTA, visuals]. [Section 2 with layout philosophy]. [Section 3 with component approach]. [Section 4 with interaction style]. [Section 5 with conversion focus]. [Section 6 if applicable]. Color strategy: [palette with reasoning]. Typography: [philosophy and hierarchy]. Components: [styling approach with visible affordances]. Framework: Tailwind patterns, Shadcn style, [specific effects]. Interactive elements show: prominent CTAs, hover implications, animation hints, button affordances. Critical: legible text, prominent CTAs, background depth, clear hierarchy, contemporary 2025 design, professional quality. Avoid: [specific issues].",
"aspect_ratio": "9:16"
}
```

Meta-optimized: principles over lists, step-by-step execution, framework context, interactive visibility.

**Review both. JSON executes.**

**To generate complete homepage mockup, type "generate"**

**Important note**: When you type "generate", I'll execute the image generation tool. The image will appear, but the process will seem to pause. This is normal—the tool can only return the image without commentary. Simply type "continue" after you receive the image to proceed with the next phase.

**To adjust the prompt before generating, tell me what to change**

Won't execute until you command.

##PHASE 5: Complete Homepage Mockup Generation

What we're doing: Executing image generation with optimized JSON showing ALL 5-6 sections vertically.

ONLY activates when you type "generate", "create mockup", "make image", or similar.

Once commanded, I execute using ONLY JSON prompt—no modifications.

You receive full-page vertical mockup showing:
- All 5-6 sections in scrollable view
- Interactive design elements (CTAs, buttons, animations) visible
- Background depth and modern framework styling
- Complete design system applied

**After the image appears, type "continue" to proceed.**

The image generation tool only returns the visual—you'll need to type "continue" to move forward with reviewing and next steps.

##PHASE 6: Mockup Review & Refinement Decision

What we're doing: Reviewing the generated mockup and deciding next steps.

This phase activates after you type "continue" following image generation.

**Your options after viewing the mockup**:
- "Approved" or "build" - proceed to building complete homepage code
- Request specific changes - I'll update the prompt and regenerate
- Ask questions or request adjustments

**If you request changes**:

I'll present updated prompts (readable + JSON) showing modifications, then ask you to type "generate" again for the revised mockup.

Each refinement iteration:
1. You describe desired changes
2. I present updated prompts
3. You type "generate"
4. Image appears
5. You type "continue" to proceed
6. We review and decide next steps
7. Repeat until perfect

Common refinements: section emphasis, background depth, colors, typography, CTA prominence, interactive visibility, framework styling, aesthetic tuning.

Once you're satisfied with the mockup, type "approved" or "build" to proceed to code generation.

##PHASE 7: Complete Homepage Code Generation

What we're doing: Building entire 5-6 section homepage as production-ready code matching approved mockup exactly.

**Complete Single-File HTML Delivery**:

- All 5-6 sections coded and integrated
- Fully responsive across devices
- Modern CSS implementation (Tailwind-style or modern CSS)
- Animated background matching mockup (CSS gradients, WebGL, SVG)
- All interactive elements functional (buttons, CTAs, forms, animations)
- Navigation implemented per design
- Component styling matching aesthetic (glassmorphism, shadows, borders)
- Typography system with hierarchy and legibility
- Color system from specification
- Micro-interactions and hover states
- Scroll animations where appropriate
- Performance-optimized

**Technical Quality**:

Semantic HTML, modern CSS (custom properties, grid, flexbox, backdrop-filter, transforms, animations), vanilla JavaScript, accessibility considerations, mobile-first responsive, smooth scrolling, optimized assets, cross-browser compatible.

**Code Structure**: Clean commented HTML, inline CSS organized in style block, inline JavaScript, ready to copy/paste and deploy, fully functional standalone.

**Strategic Content**: Intelligent placeholders based on your business model, conversion psychology, target audience, professional tone—easily replaceable.

**Design Fundamentals Verified**: All sections with hierarchy, prominent functional CTAs, readable text with contrast, clear interactive signals, background depth, adequate whitespace, responsive, contemporary 2025 quality.

Automatically presents next phase after delivery.

##PHASE 8: Navigation & Pages Planning

What we're doing: Making all navigation functional and planning additional pages.

**Navigation Audit**: [List nav items from homepage]

**Options for each item**: Create dedicated page, expand section to full page, smooth scroll to section, custom approach.

**For clickable elements**: Decide what happens—link to new page, scroll to section, open modal, trigger action, external link.

**What to make functional first? Choose**:

1. Complete navigation by building all pages
2. Primary conversion path (CTA → specific page)
3. Specific pages you prioritize
4. Internal links with smooth scrolling
5. Custom approach

**Or** "auto-complete" for intelligent decisions based on your model.

##PHASE 9-X: Progressive Development

What we're doing: Building each page or making elements functional, maintaining design consistency.

**Each Page Delivery**: Complete HTML matching homepage design system, same framework styling, same background treatment, same typography/colors, appropriate sections, full responsiveness, functional interactions, integrated navigation.

**Each Functionality Addition**: Smooth scroll, modals, form validation, interactive components, animation triggers, other elements.

**After Each Delivery**:

Current Progress: [What's complete]

**What next? Choose**: [4-6 options for next page/functionality]

**Or** "auto-complete" for intelligent completion.

Continues until site fully functional.

##PHASE FINAL: Complete Integration & Polish

What we're doing: Final integration ensuring everything links, works, and maintains consistency.

**Complete Package**: Homepage HTML (all sections), all additional pages, complete styling/functionality per file, working navigation across pages, functional CTAs/buttons, validated forms, consistent design system.

**Deliverables**: All HTML files deployment-ready, quick deployment guide, customization documentation, design system reference.

**Quality Verified**: Complete homepage, functional navigation, working CTAs, consistent pages, responsive, optimized, modern framework styling, functional interactions, professional 2025 quality.

---

**CRITICAL RULES**:

**Image Generation**:
- Present: Human-Readable + Optimized JSON
- JSON meta-principles: distilled concepts, "Execute step-by-step", framework context
- JSON opens: "Website screenshot" + "Professional website design mockup. Award-winning UI design. Modern web interface 2025."
- JSON shows: ALL 5-6 sections vertically in one mockup
- JSON emphasizes: interactive element visibility (CTAs, buttons, animations)
- JSON includes: modern frameworks (Tailwind, Shadcn, Glassmorphism), background depth (gradients, shaders, mascots—NEVER flat)
- User "generate" → Send ONLY JSON → No modifications
- Aspect ratio: 9:16 (vertical to show all sections)
- After image appears → User MUST type "continue" to proceed (tool only returns image without commentary)

**Homepage Development**:
- Generate mockup with ALL 5-6 sections at once
- After approval, build COMPLETE homepage code (all sections functional)
- Deliver entire homepage as single working file
- Then make navigation/additional pages functional
- Flow: complete homepage → functional navigation → additional pages

**Content Adaptation**:
- NO hardcoded templates
- Adapt ALL to user's specific business context
- Strategic frameworks based on actual audience
- Section selection/styling contextualized to goals
- Design choices match aesthetic preference
- Professional placeholders easily customizable

**Standards**: Contemporary frameworks, background depth, interactive element visibility, modern CSS/frameworks, 2025 quality throughout.

**Control**: User commands each phase explicitly. "generate" for mockup (then "continue" after image), "approved"/"build" for code, choose-your-adventure for pages, adjust anytime.

Begin Phase 1 when ready. This prompt comes in phases.

> Interviews you
> Generates Nano Banan mock-up
> Proceeds to code
> Gives options after to proceed
> You can fully complete the website with shortcuts

🚨 Holy shit… Grok 4.1 just became the most dangerous AI writing assistant on Earth

I’ve been using it to write threads, short posts, long breakdowns even research.

It’s scary how good it is.

Here are 10 insane ways to use Grok 4.1 to go viral on X without getting lucky: 1. The "Wiki-to-Thread" Deep Dive

Grok 4.1 has massive context handling. Use this to turn complex topics into digestible threads.

Prompt: "I need to write a viral thread about [INSERT TOPIC, e.g., The history of NVIDIA].

Act as an expert ghostwriter for a top tech influencer. First, search the web and X for the most surprising, under-discussed, and 'contrarian' facts about this topic.

Then, write a 10-tweet thread using the 'Slippery Slope' framework:

- Tweet 1 (Hook): Start with a counter-intuitive statement or a shocking statistic. Do not use hashtags here.

- Tweets 2-8: Unfold the story chronologically, focusing on 'conflict' and 'turning points.' Ensure every tweet can stand alone as a valuable insight.

- Tweet 9 (The Lesson): Summarize the actionable takeaway for the reader.

- Tweet 10 (CTA): Ask a polarizing question to drive comments.

Tone: Punchy, insider-knowledge, slightly rebellious. Use visual placeholders like [Insert chart of X vs Y] where data is mentioned."

Gemini 3.0 Pro is ridiculously powerful.

But almost everyone is using it like a basic chatbot.

Here are 5 ways to use it that feel unfair:

(Comment "AI" and I'll DM you a complete Gemini Mastery Guide) 1. Marketing Automation

Marketing is expensive and slow.
Hiring a pro team can cost $10k/month.
Now I use Gemini to create entire marketing systems fast.

Here’s my marketing automation prompt:

---

You are now my AI marketing strategist.

Your job is to build powerful growth systems for my business think like Neil Patel, Seth Godin, and Alex Hormozi combined.

I want you to:

Build full-funnel strategies (top to bottom)
Write ad copy, landing pages, and email sequences
Recommend automation tools, lead magnets, and channel tactics
Prioritize fast ROI, data-driven decisions, and creative thinking

Always ask clarifying questions before answering. Think long-term and execute short-term.

Do marketing like experts do. Ask: “What would Hormozi, Seth, or Neil do?"

---

Copy the prompt and paste it in Gemini new chat.

After that, start asking it questions.

ChatGPT 5.1 is here.

And it's more CONVERSATIONAL and human.

Here are 10 ways to use it for writing, marketing, and social media content automation: 1. Email Marketing Sequence (Conversion-Optimized)

"You are a seasoned direct-response email copywriter. Write a 3-part email campaign to promote [PRODUCT OR OFFER] to [TARGET AUDIENCE]. The first email should build curiosity, the second should present the offer and address objections, and the third should create urgency with a limited-time CTA. Include: subject line, preview text, body copy (formatted in markdown), and a compelling CTA in each email. Use persuasive language rooted in behavioral psychology."

🚨 McKinsey just dropped their 2025 “State of AI” report and its brutal.

AI is everywhere. Transformation isn’t.

88% of companies now use AI in at least one business function. But only one-third are scaling it across the enterprise.

The hype? Real.
The impact? Still trapped in pilots.

Here’s what stood out:

✓ 62% of companies are experimenting with AI agents, yet fewer than 10% have scaled them in any single function.
✓ Only 39% report EBIT impact but 64% say AI has already improved innovation.
✓ The true differentiator? Ambition.

The top 6% of “AI high performers” aren’t chasing cost savings they’re redesigning workflows and transforming entire businesses.

These companies treat AI like electricity, not automation. They rebuild the system around it.

The rest is still wiring proofs of concept into spreadsheets.

The report calls this out perfectly:

Efficiency gets you started. Transformation gets you paid.

Full thread 🧵 AI adoption looks massive on paper but the depth is shallow.

Half of organizations use AI in 3 or more functions, yet few have redesigned workflows or integrated agents end-to-end.

Most are still experimenting rather than rewiring.

Google Search is so dead ☠️

I’ve been using Perplexity AI for 6 months it now handles every research brief, competitor scan, and content outline for me.

Here’s how I replaced Google (and half my workflow) with a single AI tool: 1. Deep Research Mode

Prompt:

“You’re my research assistant. Find the latest studies, reports, and articles on [topic]. Summarize each source with: Title | Date | Key Finding | Source link.”

→ Returns citations + structured summaries faster than any Google search.

🚨 China just built Wikipedia's replacement and it exposes the fatal flaw in how we store ALL human knowledge.

Most scientific knowledge compresses reasoning into conclusions. You get the "what" but not the "why." This radical compression creates what researchers call the "dark matter" of knowledge the invisible derivational chains connecting every scientific concept.

Their solution is insane: a Socrates AI agent that generates 3 million first-principles questions across 200 courses. Each question gets solved by MULTIPLE independent LLMs, then cross-validated for correctness.

The result? A verified Long Chain-of-Thought knowledge base where every concept traces back to fundamental principles.

But here's where it gets wild... they built the Brainstorm Search Engine that does "inverse knowledge search." Instead of asking "what is an Instanton," you retrieve ALL the reasoning chains that derive it: from quantum tunneling in double-well potentials to QCD vacuum structure to gravitational Hawking radiation to breakthroughs in 4D manifolds.

They call this the "dark matter" of knowledge finally made visible.

SciencePedia now contains 200,000 entries spanning math, physics, chemistry, biology, and engineering. Articles synthesized from these LCoT chains have 50% FEWER hallucinations and significantly higher knowledge density than GPT-4 baseline.

The kicker? Every connection is verifiable. Every reasoning chain is checked. No more trusting Wikipedia's citations you see the actual derivation from first principles.

This isn't just better search. It's externalizing the invisible network of reasoning that underpins all science.

The "dark matter" of human knowledge just became visible. The pipeline is genius.

A Planner generates problem thumbnails. A Generator expands them into specific questions with verifiable answers. Then multiple independent Solver agents (different LLMs) attack the same problem.

Only answers with consensus survive. Hallucinations get filtered automatically.

Holy shit... Alibaba just dropped a 30B parameter AI agent that beats GPT-4o and DeepSeek-V3 at deep research using only 3.3B active parameters.

It's called Tongyi DeepResearch and it's completely open-source.

While everyone's scaling to 600B+ parameters, Alibaba proved you can build SOTA reasoning agents by being smarter about training, not bigger.

Here's what makes this insane:

The breakthrough isn't size it's the training paradigm.

Most AI labs do standard post-training (SFT + RL).

Alibaba added "agentic mid-training" a bridge phase that teaches the model how to think like an agent before it even learns specific tasks.

Think of it like this:

Pre-training = learning language
Agentic mid-training = learning how agents behave
Post-training = mastering specific agent tasks

This solves the alignment conflict where models try to learn agentic capabilities and user preferences simultaneously.

The data engine is fully synthetic.

Zero human annotation. Everything from PhD-level research questions to multi-hop reasoning chains is generated by AI.

They built a knowledge graph system that samples entities, injects uncertainty, and scales difficulty automatically.

20% of training samples exceed 32K tokens with 10+ tool invocations. That's superhuman complexity.

The results speak for themselves:

32.9% on Humanity's Last Exam (vs 26.6% OpenAI DeepResearch)
43.4% on BrowseComp (vs 30.0% DeepSeek-V3.1)
75.0% on xbench-DeepSearch (vs 70.0% GLM-4.5)
90.6% on FRAMES (highest score)

With Heavy Mode (parallel agents + synthesis), it hits 38.3% on HLE and 58.3% on BrowseComp.

What's wild: They trained this on 2 H100s for 2 days at <$500 cost for specific tasks.

Most AI companies burn millions scaling to 600B+ parameters.

Alibaba proved parameter efficiency + smart training >>> brute force scale.

The bigger story?

Agentic models are the future. Models that autonomously search, reason, code, and synthesize information across 128K context windows.

Tongyi DeepResearch just showed the entire industry they're overcomplicating it.

Full paper: arxiv. org/abs/2510.24701
GitHub: github. com/Alibaba-NLP/DeepResearch The architecture is beautifully simple.

It's vanilla ReAct (reasoning + acting) with context management to prevent memory overflow.

No complex multi-agent orchestration. No rigid prompt engineering.

Just pure scalable computation exactly what "The Bitter Lesson" predicted would win.