Josh Packer

@NextGenAi5 Gemini

Google Gemini is the smartest AI right now. But 90% of people prompt it like ChatGPT. That's why I made the Gemini Mastery Guide: → How Gemini thinks differently → Prompts built for Gemini → 2000+ AI Prompts Comment "Gemini" and I'll DM it free.

@elonmusk Visionary!!

Mass drivers on the Moon!

@dashboardlim Stack

giving out my AI SaaS products stack that people charge $5k to teach lovable, n8n, claude set up for a full production system no half-built demos or duct-taped backends it's for actual shippable products see what's inside: FULL STACK ARCHITECTURE: → lovable handles entire frontend layer (real UX, not prototypes) → n8n manages backend logic and API orchestration → claude does error handling, retries, and intelligent validation PRACTICAL IMPLEMENTATION: → n8n workflows for production logic (not tutorial toys) → claude prompts that actually catch and fix errors → architecture patterns that prevent silent failures → video walkthrough building it step-by-step COPY-PASTE SETUP: → workflow templates you can deploy immediately → documented integration patterns → error handling frameworks → production-grade configurations this is how i build client SaaS products not theory it's an infrastructure for builders who ship comment "STACK" and i'll send it your way

@WorkflowWhisper MCP

Claude and Cursor can now build n8n workflows directly in your instance. No JSON. No copy-paste. No 3-hour debugging sessions. And it's about to make $15K consultants absolutely obsolete. Most AI tools generate broken templates and say "good luck figuring it out." Synta's MCP works completely different: 1. IT INTERVIEWS YOU BEFORE BUILDING "What's your preferred database—Airtable, Google Sheets, Notion?" "Where's your data coming from—Apollo, your CRM, web scraping?" "How should errors be handled?" It beefs up your prompt before writing a single node. While consultants charge $200/hour for "discovery calls"... This does it in 30 seconds. For free. 2. IT KNOWS N8N BETTER THAN YOUR CONSULTANT Scrapes the latest documentation in real time. Knows what nodes exist TODAY. Not what existed when Claude was trained in 2023. Your $12K "expert" is still googling deprecated node parameters. This thing has the entire n8n docs embedded. Updated. Current. 3. IT BUILDS DIRECTLY IN YOUR INSTANCE No exporting. No importing. No praying the nodes connect. No "let me check if this JSON is valid." Describe what you want → watch it appear in your n8n → ready to run. I told it: "Build a competitor monitoring system that scrapes pricing, analyzes with AI, and alerts me when I'm being undercut" 47 seconds later: 3 workflows. Sitting in my n8n. Connected. Running. The consultant quote for this exact system? $14,000. My cost? $0. This is what my agency runs on daily. 10 people operating like 50. Same-day delivery on projects that used to take weeks. While other agencies are posting job listings for "Senior n8n Developer - $120K"... We're shipping faster with half the team. Comment "MCP" and I'll send you: → How to connect Synta MCP to Claude or Cursor → The prompting structure that gets clean builds every time → Link to check if you got early access (~50 accounts only) The automation consulting industry just lost their biggest advantage. And I'm handing it to you for free.

@jamescoder12 DS

DeepSeek just turned $100 into $45K overnight. This isn't a flex. It's facts. Built an Al trading bot using DeepSeek And it literally prints crypto. I'm sharing the exact bot for FREE Want it? 1. Retweet 2. Like 3. Reply "DS" 4. Follow me @jamescoder12

You don’t need a PhD to understand Retrieval-Augmented Generation (RAG). It’s how AI stops hallucinating and starts thinking with real data. And if you’ve ever asked ChatGPT to “use context” you’ve wished for RAG. Let me break it down in plain English (2 min read):

ChatGPT 5 or Grok 4 which one actually wins? Someone tested them with the same high-pressure prompts. The difference is shocking. (video demos inside 👇)

I switched to AI Engineering 2 years ago! It was the best career move I ever made. If you want to start today, here's a roadmap:

@Shahin_XTechAI AI

@typelessdotcom @JeremyKuecks

Get a typeless.com invitation code now! Just: 1. Like this post ❤️ 2. Repost 🔁 3. Tag a friend below 🧑‍🤝‍🧑 4. Follow me ✅ (so I can DM you the invitation code)

@marryevan999 Steal

HOLY SH*T… This AI Agent does everything 🤯 Built in n8n : 🔁 Clones viral TikToks ✍️ Rewrites w/ GPT-4o 🎥 Auto creates avatar videos 🎬 Adds captions & edits 📤 Posts to 9 platforms (TikTok, IG, YT, X…) 🔁 Like+RT ✅ Reply “Steal” 🤝 Follow me & I’ll DM you workflow FREE.

@AlfieJCarter Vid

I just studied Alex Hormozi's $100M LinkedIn outreach system. (and documented his entire process) I spent a week reverse-engineering Alex's EXACT strategy that built Acquisition to $250M Reply "VID" + follow for access

People keep asking me how to "get into AI" The way I see it, there are 3 paths: 1. Apply AI to what you're already doing 2. Sell AI services in a space you know 3. Start your own upward spiral: Different paths. Different playbooks. I mapped them out below 👇🏼

What a crazy week in AI 🤯 - ChatGPT Agents - Runway’s Act-Two - Grok AI Companions - Claude New Directory - Mistral AI Voxtral Speech - Amazon Coding Agent Kiro - Google Search New AI Features - First Live-Stream Diffusion Model Here’s EVERYTHING you need to know:

Today we launched a new product called ChatGPT Agent. Agent represents a new level of capability for AI systems and can accomplish some remarkable, complex tasks for you using its own computer. It combines the spirit of Deep Research and Operator, but is more powerful than that may sound—it can think for a long time, use some tools, think some more, take some actions, think some more, etc. For example, we showed a demo in our launch of preparing for a friend’s wedding: buying an outfit, booking travel, choosing a gift, etc. We also showed an example of analyzing data and creating a presentation for work. Although the utility is significant, so are the potential risks. We have built a lot of safeguards and warnings into it, and broader mitigations than we’ve ever developed before from robust training to system safeguards to user controls, but we can’t anticipate everything. In the spirit of iterative deployment, we are going to warn users heavily and give users freedom to take actions carefully if they want to. I would explain this to my own family as cutting edge and experimental; a chance to try the future, but not something I’d yet use for high-stakes uses or with a lot of personal information until we have a chance to study and improve it in the wild. We don’t know exactly what the impacts are going to be, but bad actors may try to “trick” users’ AI agents into giving private information they shouldn’t and take actions they shouldn’t, in ways we can’t predict. We recommend giving agents the minimum access required to complete a task to reduce privacy and security risks. For example, I can give Agent access to my calendar to find a time that works for a group dinner. But I don’t need to give it any access if I’m just asking it to buy me some clothes. There is more risk in tasks like “Look at my emails that came in overnight and do whatever you need to do to address them, don’t ask any follow up questions”. This could lead to untrusted content from a malicious email tricking the model into leaking your data. We think it’s important to begin learning from contact with reality, and that people adopt these tools carefully and slowly as we better quantify and mitigate the potential risks involved. As with other new levels of capability, society, the technology, and the risk mitigation strategy will need to co-evolve.

A one-man checks-and-balances system waging a revolution of accountability.

Jefferson, Madison, & Washington watch in shame as the US gov balloons beyond their vision. But they’re proud of Elon Musk, exposing fraud & waste—a modern patriot fighting for accountability with truth as his weapon.