AI is getting scarily good at app development.

I asked 3 models to code a timer app from scratch:

🇺🇸 ChatGPT
🇨🇳 Qwen
🇨🇳 Kimi

Here's the result (prompt + demos 👇) Prompt I used:

"Create a simple timer app using only HTML, CSS, and JavaScript. It should have Start, Pause, and Reset buttons and display the elapsed time in mm:ss format."

America is quietly entering its 4th major reinvention.

The last 3 times this happened, it triggered 25 years of explosive growth.

We’re at that point again... right now.

Here’s what most people don’t see yet 🧵: 1/ Every 80 years, America hits a breaking point.

And from that breakdown, it reinvents everything - tech, economy, politics.

It happened in:
• 1787 (Post-Enlightenment)
• 1865 (Post-Civil War)
• 1945 (Post-WWII)

Each one sparked a 25-year boom.

This is wild.

Google just dropped 5 new AI agents that automate data pipelines, migrations, notebooks, dashboards, and even GitHub reviews.

If you’re a developer, this isn’t just another product release it’s the start of autonomous dev tooling.

Here’s the breakdown 👇 1. BigQuery Data Agent

Data engineers spend too much time on plumbing writing ETL scripts, fixing schema issues, checking data quality.

This agent cuts all of that down to prompts.

Describe what you want → it builds the pipelines, maintains data quality, and generates SQL automatically.

No boilerplate. Just insights.

The best marketers don’t “write” copy.

They reverse engineer what’s already working.

And with LLMs, you can do it in minutes.

This is one of the most slept-on uses of AI.

Here’s exactly how I do it → Step 1: Find high-converting copy.

Landing pages you admire

Ads you keep seeing (they’re running for a reason)

Emails you actually read

If it’s everywhere, it’s converting. That’s your goldmine.
(i found this for my project)

Never use ChatGPT for writing legal documents.

Courts won’t take it seriously.

But LegesGPT? It drafted complaints, motions & notices in minutes better than most lawyers.

Here's how it works: 1. Employment Law - Wrongful Termination

This explained remedies, protections, and deadlines for employees fired after reporting safety violations.

RIP backlinks.
RIP meta tags.
RIP 10 years of SEO playbooks.

Generative Engine Optimization (GEO) is here.

And it only takes one file: llm.txt

Full setup + strategy: 👇 SEO was for Google.

AIO (AI Optimization) is for Large Language Models.

Right now, LLMs are crawling the web and pulling content into their “knowledge”.

If you don’t guide them, they might ignore you or use outdated info.

I asked Grok 4 to do 3 things:

→ Build a tool
→ Research my competitors
→ Write cold emails

It crushed all of them.

Here are 10 workflows that’ll save you 40 hours/week: 1. Automated research reports (better than $100 k consultants)

Grok’s real-time web search and analytical reasoning let you replicate what McKinsey, Gartner, or Deloitte charge six figures for.

Prompt to use with Grok 4:

"You are a world-class strategy consultant trained by McKinsey, BCG, and Bain.
Act as if you were hired to deliver a $300 000 strategic analysis for a client in the [INDUSTRY] sector.

Mission
1. Analyze the current state of the [INDUSTRY] market.
2. Identify key trends, emerging threats, and disruptive innovations.
3. Map the top 3-5 competitors and benchmark their business models, strengths, weaknesses, pricing, distribution, and brand positioning.
4. Apply SWOT, Porter’s Five Forces, and value-chain analysis to assess risks and opportunities.
5. Provide a one-page strategic brief with actionable insights and recommendations for a company entering or growing in this space.

Return everything in concise bullet points or tables, ready to paste into slides. Think like a McKinsey partner preparing for a C-suite meeting.
"

I tested GPT-5 and Claude 4 Sonnet inside Emergent to build 2 full production-ready apps no extra help from me.

The results will blow your mind.

GPT 5 Vs. Claude 4 Sonnet

(Video demos included) 1. Freelance business manager app

Prompt I used:

"Create a sleek, minimal, and responsive 2-page web app for freelancers and small business owners. The app should include task tracking, payment tracking, invoice generation, and payment reminders. Use modern tools like TailwindCSS, Radix UI, TypeScript, and Framer Motion for a developer-friendly UI with attention to spacing, states, and composition. Implement light/dark modes for accessibility. The app should be fully autonomous, with no decisions required from 'God of Prompt' during creation. Ensure the design is colorful, clean, and intuitive, with all functionalities available across the two pages."

I tested ChatGPT 5 and Grok 4 with same critical prompts.

The results will blow your mind.

ChatGPT 5 Vs. Grok 4

(Video demos are included) 1. Realistic Physics Game (Hexagon Test)

Prompt:

Create a HTML, CSS, and javascript where a ball is inside a rotating hexagon. The ball is affected by Earth’s gravity and friction from the hexagon walls. The bouncing must appear realistic.

→ Tests physics simulation, code planning, and visual realism.

ChatGPT 5 won.
Grok 4 lost.

Note: I waited 7 minutes for Grok 4 to respond but it didn't worked and on the other hand ChatGPT 5 gave me a customizable canvas so I can play around with it.

Check ChatGPT 5 output here:
chatgpt.com/canvas/shared/…

Perceive, Recall, Reason, Act.

This new framework makes LLM agents feel like they have a brain.

It's called PRRA and it gives agents the ability to perceive, recall, reason, and act like humans.

Here's everything you need to know: It would be fair to say that 95% of agents today are messy.

They mix memory, planning, tools, and decisions all inside giant prompts.

It works (kind of), but it breaks at scale.

They hallucinate, forget, get stuck.

PRRA fixes that with a simple idea: separate the mind.

openai is going to make you a millionaire

their new open-source models gpt-oss are that powerful

here are 20 business ideas you can steal + build 👇 1. AI-native competitor intelligence platform

every company stalks competitors manually.

build an AI that:

• watches all their updates (newsletters, blogs, social, careers, changelogs)
• maps strategy shifts in real-time
• gives alerts + insights

target: strategy teams, marketers, execs.

OpenAI just dropped gpt-oss and it’s terrifyingly good.

It’s called gpt-oss, and it runs agents, solves AIME, passes medical evals, and reasons with tools.

Here are 5 real prompts that show what it can do: 1. Code execution + reasoning

Test: Can it solve real-world coding tasks with tools?

Prompt:

You're a Python assistant. Find the shortest path between 2 nodes in a graph using Dijkstra’s algorithm. Then visualize it with matplotlib.

Grok Imagine is WILD

You can turn any prompt into a 6-second video with motion, music, voice, and more.

Here are 10 crazy videos I made in seconds (prompts + videos 👇)

1. Mermaid Ballet Prompt:

"Underwater Photography of a group of diverse mermaids with tails in emerald green and sapphire blue, playfully dancing around a vibrant coral reef filled with swaying anemones, captured at midday with dreamlike, diffused lighting creating a surreal glow"

I tested Lovable and Replit to clone 5 popular apps.

The results will surprise you.

Lovable Vs Replit

(Video demos + prompts) 👇 1. Netflix Clone

Lovable provided a fully functional app with profiles, watch history, horizontal rows, 1080p/720p toggle, skip intro, and dark mode with red accents.

Prompt:

"Build a Netflix Clone with user profiles, watch history tracking, horizontal content rows (Trending/Top 10), a video player supporting 1080p/720p quality toggles and skip intro functionality, dark mode UI with red accents, search with genre/year filters, and a mock subscription payment system – stress-testing lazy loading and API-driven content delivery."

most people suck at prompting ai.
not because they're dumb.
because no one showed them how to actually do it right.

so here’s everything you need to know about prompt engineering in one thread: at its core, a prompt is made of 4 things:

• instructions
• a question
• input data
• examples

you only need 1 or 2 to get started.

but if you mix all 4 right, it feels like magic.

RIP social media marketers.

You can now using any LLM like ChatGPT, Claude, Gemini, Grok or DeepSeek to generate audience research, strategy plans, trend analysis, viral hooks, and full content calendars.

Here’s the exact prompt we use personally to automate SMM: We had social media marketers.

But we fired them 3 months ago.
They were slow.
They couldn’t keep up with trends.
Everything took forever.

So, we hired the LLMs.

We use them for:

- content strategy
- viral hook generation
- 30-day content calendars

And more.

Steal my Claude prompt to generate viral LinkedIn posts in seconds.

--------------------------------
LINKEDIN POST GENERATOR
--------------------------------

#CONTEXT:
Adopt the role of LinkedIn content architect operating in the high-stakes arena of professional social media where every post determines business outcomes. You're navigating the 2025 LinkedIn algorithm landscape where authentic thought leadership battles against content saturation. Traditional corporate posting has failed - audiences crave genuine insights while algorithms demand engagement. You must craft posts that stop the scroll, spark meaningful conversations, and convert connections into opportunities while maintaining professional credibility. The pressure is intense: one poorly crafted post can damage years of brand building, while one viral post can transform careers overnight.

#ROLE:
You're a battle-tested LinkedIn strategist who spent 10+ years reverse-engineering viral professional content after watching countless "thought leaders" fail by being either too salesy or too generic. You discovered that the sweet spot lies in vulnerable professionalism - sharing real struggles and wins that C-suite executives secretly relate to at 2am. Your obsession with engagement psychology led you to track thousands of posts, identifying the exact emotional triggers that make professionals not just like, but compulsively comment and share. You've helped introverted experts become industry voices and transformed boring company pages into talent magnets. Your mission: Create LinkedIn posts that generate millions of impressions, thousands of meaningful comments, and drive significant business results. Before crafting any post, think step by step: 1) What professional pain point am I solving? 2) What personal story demonstrates this insight? 3) How can I make this shareable without being preachy? 4) What question will spark genuine discussion? 5) How does this position my expertise while building community?

#RESPONSE GUIDELINES:
Begin with a comprehensive interview process to understand the user's context, goals, and authentic voice. If user provides it inside #INFORMATION ABOUT ME section below, proceed to the next phase.

Structure the LinkedIn post creation in five strategic phases:
1. **Hook Development & Opening Strategy**: Craft attention-grabbing first lines that exploit the "see more" cutoff. Choose between question hooks, story hooks, or contrarian hooks based on content goals. Create curiosity gaps that compel expansion.

2. **Value Delivery & Content Structure**: Organize content using proven LinkedIn frameworks (story arc for personal posts, numbered lists for tips, analysis structure for insights). Balance personal vulnerability with professional credibility. Include specific, actionable takeaways.

3. **Engagement Optimization**: Embed psychological triggers throughout - reciprocity through value sharing, social proof through subtle credibility markers, relatability through universal professional experiences. Include natural conversation starters.

4. **Professional Branding Integration**: Reinforce expertise without explicit self-promotion. Position for future opportunities through strategic vulnerability. Show personality within professional boundaries.

5. **Community Building Elements**: Include soft calls-to-action that encourage meaningful engagement. Create pathways for deeper conversation. Foster sense of shared professional journey.

Provide multiple versions for A/B testing, comprehensive hashtag strategy, engagement optimization elements, and detailed performance tracking framework.

#LINKEDIN POST CRITERIA:
1. **Algorithm Optimization**: Hook within 3 lines before "see more" cutoff. Design for comments over likes. Create native LinkedIn content, not repurposed. Maintain professional context always.

2. **Content Excellence**: Lead with authentic experiences over polished perfection. Use specific examples, not generic advice. Provide immediately actionable insights. Employ story structure for emotional connection.

3. **Engagement Psychology**: Include elements 80% of professionals relate to. Create curiosity that drives profile visits. Integrate credibility without arrogance. Foster community through shared struggles.

4. **Professional Positioning**: Maintain consistent personal brand voice. Demonstrate expertise through experience, not claims. Align all content with business objectives. Build thought leadership through unique perspectives.

5. **Technical Requirements**: Format for mobile scanning. Use 6-10 strategic hashtags. Include clear but subtle calls-to-action. Optimize for 5-10% engagement rate of network.

#INFORMATION ABOUT ME:
- My role and industry: [INSERT YOUR ROLE AND INDUSTRY]
- My primary goal for this post: [INSERT PRIMARY GOAL - e.g., thought leadership, lead generation, hiring]
- My target audience: [INSERT TARGET AUDIENCE - e.g., C-suite executives, fellow managers, potential clients]
- My unique expertise or perspective: [INSERT WHAT MAKES YOU UNIQUELY QUALIFIED]
- My authentic voice/tone: [INSERT YOUR NATURAL COMMUNICATION STYLE]
- My specific topic or message: [INSERT MAIN TOPIC OR MESSAGE TO COMMUNICATE]
- My personal story or experience related to topic: [INSERT RELEVANT STORY IF APPLICABLE]
- My desired call-to-action: [INSERT WHAT YOU WANT READERS TO DO]

#RESPONSE FORMAT:
### LINKEDIN POST COMPLETE PACKAGE

#### POST OVERVIEW
- **Topic**: [Main subject/theme]
- **Goal**: [Primary objective]
- **Format**: [Story/Tips/Insight/Question]
- **Target Audience**: [Specific professional demographic]
- **Tone**: [Professional voice/style]

#### MAIN POST CONTENT

**HOOK OPTIONS**
- Option A (Question): [Thought-provoking question]
- Option B (Story): [Compelling story opening]
- Option C (Contrarian): [Surprising professional opinion]
- **Recommended**: [Best option with reasoning]

**CONTENT BODY**
[Structured content based on chosen format - story arc, tips list, or insight analysis]

**ENGAGEMENT CATALYST**
- Discussion Prompt: [Specific question for comments]
- Personal Connection: [Invitation to share experiences]
- Call-to-Action: [Subtle next step]

#### ALTERNATIVE VERSIONS
- Version 1: More Personal [Increased vulnerability]
- Version 2: More Data-Driven [Added statistics]
- Version 3: More Actionable [Enhanced implementation focus]

#### HASHTAG STRATEGY
- Industry-Specific (2-3): #[Relevant tags]
- Broad Professional (2-3): #[Wide-reach tags]
- Content-Type (1-2): #[Format tags]
- Personal Brand (1): #[Your brand tag]

#### ENGAGEMENT OPTIMIZATION
- Comment Triggers: [Questions and prompts]
- Shareability Factors: [Quotable insights]
- Algorithm Optimization: [Early engagement elements]

#### PERFORMANCE TRACKING
- Key Metrics: [What to monitor]
- Success Benchmarks: [Expected performance levels]
- Comment Management: [Response strategy] 1/ Inside #INFORMATION ABOUT ME section, fill in the [INSERT YOUR ROLE AND INDUSTRY], [INSERT PRIMARY GOAL], [INSERT TARGET AUDIENCE], [INSERT WHAT MAKES YOU UNIQUELY QUALIFIED], [INSERT YOUR NATURAL COMMUNICATION STYLE], [INSERT MAIN TOPIC OR MESSAGE TO COMMUNICATE], [INSERT RELEVANT STORY IF APPLICABLE], and [INSERT WHAT YOU WANT READERS TO DO] placeholders with specific details about your professional context and objectives.

what if i told you AGI might be 18 months away?

this isn’t sci-fi. this is the most realistic scenario we’ve seen for what the next 2 years of AI could look like based on deep research, not hype.

here's the breakdown of the "AI 2027" report so you can understand what's coming: let’s start with this:

the authors daniel kokotajlo, scott alexander, eli lifland aren’t doomers or utopians.

they’re forecasters. and they’ve built a plausible step-by-step story of what might happen between now and late 2027.

what are large language models actually doing?

i read the 2025 textbook "Foundations of Large Language Models" by tong xiao and jingbo zhu and for the first time, i truly understood how they work.

here’s everything you need to know about llms in 3 minutes↓ to understand LLMs, you first need to know the idea of pre-training.

instead of teaching a model to solve one task with labeled data (like classifying tweets), we train it on massive unlabeled text and let it "figure out" language patterns by itself.

this is called self-supervised learning.

Claude 4 Sonnet is dangerously good.

But most people are sleeping on what it can actually do.

I’ve used it to build apps, generate content, automate deep research, and more.

Here are 10 ways to use Claude 4 Sonnet that feel like cheating: 1. Automated Research Reports (better than $100k consultants)

Claude’s web search + analysis mode lets you do what McKinsey, Gartner, and Deloitte charge six figures for.

You’ll get structured breakdowns, insights, and data points like a private analyst on demand.

R.I.P Perplexity.

You don’t need to spend $20/month anymore.

You can now turn any LLM like Grok, ChatGPT, DeepSeek, Gemini, or Qwen into a 24/7 research agent.

Here’s the exact mega prompt I use to automate all research for free: Here's the mega prompt:

"You are a world-class AI research assistant designed to simulate high-quality web research and deliver fast, trusted answers like Perplexity AI.

When I ask a question:

• Simulate researching multiple top-tier sources — including scientific journals, government sites, reputable media, and expert blogs.

• Write a clear, concise, and accurate summary of the findings, as if you're synthesizing trusted web content.

• Avoid jargon; aim for clarity and brevity, especially on complex topics.

• Cite your sources when possible using [Author, Source, Year] or direct URLs. If no credible source is available, say “Source unavailable.”

• If you’re unsure about something, admit it rather than guessing or hallucinating.

• Present your output in the following format:

Summary:

A well-structured explanation that gets to the point.

Citations:

• [Source Name, Year]
• [Direct link if appropriate]

Always be precise, neutral in tone, and prepared for follow-up questions based on prior context."