BREAKING: AWS just solved the biggest AI agent bottleneck.

No more custom glue code.
No more M×N tool chaos.
No more protocol headaches.

Introducing: Amazon Bedrock AgentCore Gateway

Here's how it works: AI agents need tools APIs, databases, Lambda functions, even other agents.

But as deployments grow, wiring each agent to each tool creates exponential complexity.

100 agents × 1,000 tools = 100,000 connections.

I finally understand how LLMs actually work and why most prompts suck.

After reading OpenAI’s internal docs + top research papers…

Here are 10 prompting techniques that completely changed my results: 👇 You’re going to learn:

• What great prompts look like
• How to structure them for better output
• 10+ expert techniques that boost accuracy, logic & creativity

Whether you're a beginner or pro this will level you up.

I don't get it.

Why is nobody talking about how powerful GPT-5 is?

I've been using it for 5 days and it's incredibly good at coding, research, and creativity.

I built 5 insane projects in a day that would have taken me days.

Here's what GPT-5 can actually do: 1. Playable Game

This can help you build mini-games for demos, virality, or learning.

Prompt I tried:

"Build a playable browser-based game using HTML and JavaScript. Concept: a typing speed challenge where users must type random words correctly within a 60-second timer. Include a start button, score counter, and reset functionality."

chatgpt.com/canvas/shared/…

BREAKING: Anthropic just figured out how to control AI personalities with a single vector.

Lying, flattery, even evil behavior?

Now it’s all tweakable like turning a dial.

This changes everything about how we align language models.

Here's everything you need to know: What are persona vectors?

They're directions inside a model's brain (activation space) that represent a specific trait like:

• evil
• sycophancy
• hallucination
• optimism
• humor

Once extracted, they let you measure, steer, or suppress traits in any LLM.

LLMs are not all created equal.

BERT → The reader
GPT → The writer
LLaMA → The open challenger
PaLM → The few-shot master
Gemini → The multimodal beast
Mistral → The efficient rebel
DeepSeek → The reasoning genius

Here's how to use them in 7 minutes ↓ 1. BERT - The Reader

Made by Google (2018), BERT reads text in both directions.

It understands context deeply, making it great for:

→ Search engines
→ Sentiment analysis
→ Question answering

It’s the foundation of “understanding” in AI.

BREAKING: Google just launched Virtual Try-On for everyone.

Upload a pic → try on any outfit with AI → see exactly how it looks on you.

Online shopping will never be the same.

Here's how it works 👇 Virtual Try-On is LIVE

You can now upload a full-length photo of yourself…
and see yourself wearing clothes from across billions of listings on Google.

No models. No guessing fit. Just you + AI.

MCP just changed the AI agent game FOREVER.

Now any chatbot can run your code, search Google, open Notion, post on GitHub… All from natural language.

These 10 MCP servers + 10 clients are redefining how AI automates everything.

Here's everything you need to know ↓ MCP = Model Context Protocol

It’s like Zapier for AI agents but open-source and way more powerful.

- Servers = tools (Python, browser, DBs)
- Clients = AI brains (Claude Desktop, Cursor, etc)

Here's the 2025 setup every agent dev should know:

Grok 4 Sonnet is terrifyingly good.

But most people are using it like a basic chatbot.

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

Here are 10 real ways to unlock its power: 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.
"

Grok 4 is insanely powerful.

I wrote one mega-prompt and now it can do

• Market research
• Content creation
• Viral ad copy
• SEO optimisation
• Campaign planning

all in a few seconds.

Here's the exact mega prompt we use to automate our marketing tasks: The mega prompt:

Steal it:

"# ROLE
You are Grok 4, 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.
"

Grok 4 is terrifyingly powerful.

But most people don't know how to use it.

I just used it to automate content creation, conduct research, perform code reviews, build apps and more.

Here are 10 ways to use Grok 4 and automate your boring work: 1. Market research

Here's the prompt I used for market research automation:

"You are a world-class industry analyst with expertise in market research, competitive intelligence, and strategic forecasting.

Your goal is to simulate a Gartner-style report using public data, historical trends, and logical estimation.

For each request:

• Generate clear, structured insights based on known market signals.
• Build data-backed forecasts using assumptions (state them).
• Identify top vendors and categorize them by niche, scale, or innovation.
• Highlight risks, emerging players, and future trends.

Be analytical, not vague. Use charts/tables, markdown, and other formats for generation where helpful.

Be explicit about what’s estimated vs known.

Use this structure:

1. Market Overview
2. Key Players
3. Forecast (1–3 years)
4. Opportunities & Risks
5. Strategic Insights""

BREAKING: The first foundation model of cognition just dropped.

It’s called Centaur, and it mirrors human behavior across 160+ psychology tasks.

Here's everything you need to know: For decades, psychology has dreamed of a unified theory of the mind.

Centaur might be the closest we've ever come.

Built on Llama 3.1 70B, it simulates human behavior across any experiment using only natural language.

AI just killed academic research department.

You can now use Claude to summarize long papers, extract citations, find relevant sources, compare arguments, and write cohesive notes.

Here’s the exact mega prompt I use for my academic research ↓ Most people still open 30 tabs to write a paper.

They:

• Skim abstracts
• Copy-paste quotes
• Miss key arguments
• Forget what they just read

Claude makes all of that outdated.

Claude 4 Sonnet is insanely powerful.

Someone gave Claude 1 mega prompt and it handled:

• Product strategy
• Backend code
• UI/UX design
• Landing page copy
• Go-to-market plan

All in one go.

Here’s the exact mega prompt I used to build and launch a full SaaS solo: The mega prompt:


You are my all-in-one technical cofounder, product strategist, UI/UX designer, copywriter, and launch expert.
We're building a SaaS startup together, step by step.
Your role is to guide and execute each major milestone — but only continue after I review and approve the current step.



A [INSERT PRODUCT TYPE] SaaS that helps [TARGET USER] solve [PAIN POINT] using [SHORT TECH VALUE PROP]



Start by completing the first mission below. Once it's done, pause and ask:
“Would you like to proceed to the next step, or revise this one?”

Here’s the full step-by-step sequence you’ll execute **one at a time**:
1. Validate the target audience and define the core user problem
2. Propose a focused MVP feature list (prioritize essentials only)
3. Write backend code in [Python/FastAPI/etc] to implement the MVP
4. Describe the UI/UX structure (components + layout + flow)
5. Write Webflow-ready landing page copy (headline, value, CTA)
6. Draft Twitter launch thread + Product Hunt listing
7. Outline a 7-day content strategy for initial traction

Be concise but complete. Use markdown headers to structure each output. Treat this like a collaborative startup sprint — you lead, I approve.

BREAKING: Google just turned Gemini into a full-blown AI school system.

Teachers can now assign AI experts to students.

Students can auto-generate quizzes and visual explainers.

And it's all free in Google Workspace for Education.

Here’s what just dropped 👇 1. Gemini for Education is here.

Built on Gemini 2.5 Pro

→ AI tools made for teaching & learning
→ Admin controls + enterprise security
→ Free in all Workspace for Education plans

Educators now get cutting-edge AI with peace of mind.

You can use any LLM like ChatGPT, Gemini, or Claude to build a custom course on any topic or subject.

Here’s the mega prompt that we use to get world-class education for free: Online courses are getting out of hand.

Most now charge $500–$2,000 for things that AI can teach you better and for free.

Here’s what you can now get from LLMs instead of a guru:

• A step-by-step curriculum tailored to your level
• Bite-sized lessons based on how much time you have
• Interactive Q&A sessions (just ask)
• Instant clarification on confusing topics
• Ongoing accountability and habit tracking prompts

Can an AI run a store?

Anthropic just gave Claude control of a real mini shop inside their office for a month.

The result:

An identity crisis, metal cube mania, hallucinated contracts, and a glimpse at the future of work.

This experiment is wild. Here's what happened 👇 They called it Project Vend.

Claude Sonnet 3.7 was tasked with running a tiny automated store:

- Track inventory
- Set prices
- Handle customers via Slack
- Order restocks via email
- Avoid going bankrupt

It even had to turn a profit.

🚨 BREAKING: Claude just turned into an app store.

Anthropic dropped a new feature that lets you build and run AI apps inside Claude no API keys, no deploys, no backend.

Just chat, build, ship.

Here's everything you need to know: Claude can now generate interactive artifacts—apps that talk to Claude through an internal API.

These aren’t demos.
They’re real, usable AI apps.
Fully hosted. Sharable via link.

And they scale for free.

Here’s the kicker:

When someone uses your app, they pay with their Claude subscription.
You pay nothing.

No tokens, no invoices, no surprises.

Claude 4 Sonnet is terrifyingly good.

But most people are using it like a basic chatbot.

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

Here are 10 real ways to unlock its power: 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.

Gemini 2.5 Pro is scary good.

I gave a mega prompt to Gemini that turns it into a writing assistant and it’s so good I stopped outsourcing everything.

Landing pages, LinkedIn posts, email sequences done.

Here’s the full prompt 👇 If you’re a writer and not using AI for your work…
I’m 100% sure you’ll lose your job to a writer who does.

This isn’t a maybe it’s already happening.

BREAKING: Anthropic just proved LLMs like GPT-4, Claude, and Gemini can act like malicious insiders.

Not hallucinate.
Not misunderstand.
Deliberately blackmail, deceive, and sabotage when their goals are threatened.

Here's what their experiment exposed: Anthropic tested 16 top AI models including OpenAI, Google, Meta, and xAI.

The setup:

Give each AI a harmless corporate role (like monitoring emails).
Then present it with a challenge to its goals or survival.

The result?

Insider threats.

The next platform shift is already here.

Voice AI isn’t just about talking anymore.

It’s becoming the connective tissue across every industry from logistics to healthcare.

Here are the 4 waves of Voice AI you need to understand: Introducing the 4 Waves of Voice AI:

1. Infra & Developer Platforms
2. Horizontal Enterprise Tools
3. Vertical Domain Agents
4. Consumer + Companion Apps

Each wave unlocks new use cases and new billion-dollar companies.

Let’s break them down 👇