Cennes100

@cantguardkenzo Ai

$34K. ONE DECISION. ZERO REGRETS. A founder was about to hire a web agency. The proposal was expensive. The timeline was 3 months. Instead, he tried Claude. Claude wrote the entire website—the copy, layouts, UI components, animations, and production-ready code. The founder reviewed everything, made a handful of changes, and launched weeks earlier than expected. The website generated $34,000 in new client work over the following months. The agency lost the deal. Claude didn’t.

@IamMavion Bro

I Can Trade -ICT 🐐

THEY BUILT THE MOST INSANE CLAUDE TOOL ON THE PLANET AND MOST PEOPLE HAVEN’T EVEN NOTICED YET. Most people run one AI agent at a time. One thread, one task, one brain grinding through the work. That’s the problem. You’re capping yourself before you even start. There’s a tool called Ruflo sitting at #1 on GitHub right now, completely free, and it plugs straight into Claude. Instead of one agent, it fires up 60+ agents at once, working like an actual team. Queen agents run the show. Technical agents handle the dirty work - researching, coding, testing, reviewing. All at the same time, all in sync. The detail most people miss: these agents share one collective memory. They don’t reset. They get sharper every single run. Here’s where it gets wild: 1. It reads how hard your task actually is 2. Simple stuff gets routed to a cheap model 3. Heavy lifting gets sent to the powerful one 4. That alone can cut your token usage by 50% 5. And stretch your Claude usage by up to 250% That’s not a small upgrade. That’s a completely different way of working. Most people use Claude to answer questions. This setup uses Claude to run a team. Follow: @Cennes100

STOP PAYING FOR API KEYS. THAT WHOLE COST IS OPTIONAL NOW. Most people treat AI API access like a fixed bill. They pick one model, lock into one provider, and just eat the monthly charge like it’s unavoidable. That’s the old mindset, and it’s costing people way more than it should. Here’s the mechanism - NVIDIA is giving free access to over 80 top AI models through Build by NVIDIA. Kimi, Minimax, GLM, DeepSeek, OpenAI models, all sitting in one dashboard, completely free to pull from. You go in, pick literally any model you want, hit generate, and it instantly hands you a working API key. The detail most people miss: that key isn’t locked to some closed sandbox. You plug it straight into Claude Code, Cursor, or whatever AI project you’re already building. No middleman, no separate paywall, no extra setup headache. What that actually opens up: • Testing multiple frontier models side by side without paying for each one separately • Swapping models inside your existing coding tools in seconds • Building real projects on top-tier AI without a single subscription This isn’t just “free credits.” It’s removing the financial gate that used to decide who even gets to experiment with these models. Most people use paid APIs because they assume that’s the only serious option. This setup uses NVIDIA’s free access to run the exact same models, the exact same way, for zero dollars. The barrier everyone thought was permanent was never actually load bearing. Follow: @Cennes100

@misat0x Yes bro

@Cennes100 Spline is dangerously easy to get carried away with

YOUR VIBE CODED SITE LOOKS LIKE A TEMPLATE AND DEEP DOWN YOU KNOW IT. Most people vibe code a site, get some flat boring layout, and just accept it. They think “that’s just what AI-built sites look like.” Stiff, generic, zero movement. That’s the problem. They’re stopping one step too early. Here’s the actual mechanism - go to Spline first. It’s a tool packed with pre-made 3D animations, or you can build your own from scratch. Grab one that fits the vibe. I found a robot animation and ran with it. Then head to emergent.sh, drop in your prompt, and let the AI start building the site. The detail most people miss: you go BACK to Spline after that, export the animation, and paste that URL straight into emergent. That’s the actual unlock. Most people never loop back. What that one move does: • Codes the entire animated site in under 5 minutes, no manual work • Makes a vibe coded site look like it cost thousands, not zero • Turns a flat AI template into something that actually feels premium and alive This isn’t just “prettier website” territory. This is the difference between looking like a hobby project and looking like an agency built it. Most people use AI site builders to just get a site live. This setup uses AI site builders to make something clients would pay real money for. Once you see it, you can’t unsee how much cash is sitting in that one extra step. Follow: @Cennes100

@Mayaikos Nice bro

GPT-5.6 just outperformed doctors at their own job. Physicians rated its responses higher than actual physician-written ones. The weakest GPT-5.6 model nearly doubled the doctor score on the chart. Sam Altman himself shared the study. Every single GPT-5.6 variant crushed the competition. GPT-5.6 Sol hit 23.9% perfect rating. Others landed at 19.8 and 21.3. Doctors sat at a painful 10.4. On Terminal-Bench 2.1, GPT-5.6 Sol scored 91.9% - state of the art for complex command-line workflows, planning, iteration, and tool coordination. It left Claude, Gemini, and the rest in the dust. The real unlock? GPT-5.6 now connects to thousands of apps - Twitter, Instagram, Gmail, and literally anything - through a free Composio connector. One click and your AI agent works across your entire stack. Builders who switched are already shipping faster. The gap is widening daily. GPT-5.6 isn't just better. It's redefining what's possible in medicine, coding, and automation. I made the switch back immediately. What about you?

THIS GUY MAKE $10k/month JUST MAKING AI SHORTS Most people think making AI content is about the tech. They stress over Sora access, fancy prompts, expensive tools. They think the hard part is generation. That’s not the hard part. Never was. The actual bottleneck is ideas. Sitting there like “what do I even make a video about” and staring at a blank screen for an hour. That’s where 90% of people quit before they even start. Here’s the fix - stop using ChatGPT as a caption writer. Use it as your idea machine. Ask it for a wild concept. It literally handed over “UPS driver saves a dog from a pack of coyotes.” Not something I’d think of in a million years lol. Then I ran it through Sora on VueMax.io, no watermark, added their AI script writer, slapped on an AI voice and captions. The detail most people miss: you don’t need a Sora invite code or some exclusive access to pull this off. The tool stack is wide open right now. What this actually unlocks: • A brand new “brain rot” video concept every single day, zero creative burnout • Fully rendered clips, voiced and captioned, without touching a camera or mic • A content engine that runs on prompts instead of your energy This isn’t a shortcut. It’s a completely different job description. Most people use ChatGPT to help them write. This setup uses ChatGPT to dream up entire storylines, then hands the execution off to AI too. Genuinely might be the easiest job that’s ever existed, and most people are still stuck trying to think of ideas manually. Follow: @Cennes100

@Yumzlef Tnk

@Cennes100 This is a very informative and well-analyzed article. Thank you for sharing it

STOP DRAGGING NODES IN N8N LIKE IT’S 2019 Most people build automations the old way. Click a node, connect it, click another node, connect it, test it, break it, fix it, repeat. It works but it eats your whole afternoon for one simple workflow. That’s the problem. You’re spending your time on wiring instead of on the actual idea. Enter n8n chat. You just type what you want in plain English. Something like “pull leads from Typeform and send them to Notion” and it builds the whole workflow right there in chat. No dragging, no guessing, no staring at a blank canvas wondering where to start. The detail most people miss: this isn’t just autocomplete for automations. It’s a co-pilot that understands intent, not just steps. You describe the outcome, it figures out the logic. Once it’s built you can: 1. Tweak it in seconds instead of rebuilding from scratch 2. Expand it with new steps just by asking 3. Deploy it straight into n8n and let it run That’s when it gets fun. You stop thinking like a builder and start thinking like a director. You’re not assembling blocks anymore, you’re giving direction and watching it come together. Most people use n8n to build automations one click at a time. This setup uses n8n to build automations one sentence at a time. That’s not a small upgrade. That’s a completely different way of working Follow: @Cennes100

THE BIGGEST AI UPGRADE ISN’T A NEW MODEL. IT’S THE PROMPT RUNNING BEHIND IT. Most people obsess over which model is “the best.” GPT. Claude. GLM. Kimi. They keep switching models, hoping the next release magically gives them better results. That’s the wrong game. What actually separates top-tier AI isn’t just the model itself. It’s the system prompt telling that model how to think, plan, reason, and respond. Fable 5 just came back, and someone already leaked its entire system prompt. We’re talking 120,000 characters and 1,500+ lines of internal instructions. This isn’t some tiny prompt you can write in five minutes. It’s the full playbook behind one of the strongest AI systems out there. The detail most people miss: You can take those exact instructions and use them with cheaper open source models like GLM 5.2 or Kimi K2. Now those models start following the same reasoning framework instead of relying on their default behavior. That means better planning, cleaner outputs, stronger context handling, and way more consistent responses without paying for the most expensive model. Most people chase better AI. The smart move is giving the AI you already have a better brain to work with. Follow: @Cennes100

ITS F***ING ILLEGAL NOW WITH AI YOU CAN CLONE YOUTUBE CHANNEL IN 3 STEPS Most creators binge a channel, get inspired for five minutes, then sit down and stare at a blank page. No hook, no structure, just vibes. That’s the problem. Inspiration isn’t a strategy. You can’t copy a feeling. Here’s the shift: stop watching for fun. Start feeding. 1. Grab 10-15 videos from a channel that’s crushing it in your niche 2. Drop the transcripts straight into Notebook LM 3. Ask it point blank - why does this work? what are the hooks, the patterns, the pacing? Now you’re not vibing anymore. You’re working off receipts. The detail most people miss: the AI isn’t just summarizing content, it’s exposing the skeleton underneath it. The rhythm. The repeatable stuff that actually built the audience. From there it gets fun: • Pick one pattern it surfaces and build a full script around it • Ask it to map out structure, beat by beat • Even get direction on visuals that match the tone That’s when this stops being “research” and starts being a machine. Most people use AI to save time writing. This setup uses AI to reverse-engineer virality itself - then hands you the blueprint to run it back, again and again, until “consistent content” stops being the hard part. Follow: @Cennes100

@Dexxvee Quit

THIS AI COMBO CAN MAKE YOU POPULAR YOUTUBER IN 5 STEPS. They open a niche channel, stare at the views, get hyped… and then just copy it manually. Slow. Messy. Zero leverage. Here’s the actual move: 1. Find a channel crushing it in your niche. Screenshot it. 2. Head to Higgsfield.ai/MSP and grab the link. 3. Drop that link straight into Claude’s connectors. 4. Upload your screenshot. 5. Feed it one sharp prompt. That’s it. That’s the unlock. The detail most people miss: you’re not asking Claude to “make content.” You’re handing it real context - the niche, the visual proof, the exact style that’s already winning - and letting it reverse-engineer why it works. • It studies the tone, pacing, and hook style of a channel already printing views • It turns that into fresh content in the same DNA, not a copy • It hands you something ready to post, not a rough draft you have to fix for an hour This is the part that gets people fr - you’re not “using AI for content” anymore. You’re feeding a system real market signal and letting it build from proof, not guesses. Most people use Claude to write random posts and hope. This setup uses Claude to clone what’s already working - then publish and monetize on repeat. Follow: @Cennes100

THIS GUY FOUND A CHEAT CODE FOR MONEY USING AI Almost nobody is using it to build actual income. Most people open ChatGPT to write emails, fix homework, or generate random images. That’s the wrong game. The real opportunity isn’t replacing your work. It’s replacing the parts of business that used to take hours every single day. Take AI dropshipping. You don’t need to spend weeks learning copywriting, hiring designers, or building landing pages from scratch. Find a product that’s already getting millions of views on TikTok, connect it with AI tools like PagePilot, launch it through Shopify, and let AI handle the boring work while you focus on testing what actually sells. The detail most people miss: AI doesn’t magically make you money. It removes the biggest bottlenecks between an idea and execution. Instead of spending weeks creating one store, you can test multiple products in the same amount of time. Instead of staring at a blank page, AI generates ads, landing pages, and marketing assets in minutes. That changes everything. Success stops being about who works the hardest. It becomes about who can test, learn, and adapt the fastest. Most people use AI to save a few minutes. The people making serious money use AI to compress entire businesses into workflows that can be managed from a phone. That’s the real shift

ITS FUC**NG WRONG #FREE_FABLE_5 Anthropic just built something so powerful, the U.S. government pulled the plug on it. Most people think AI models get shut down because they broke or malfunctioned. That’s not what happened here. Claude Fable 5 dropped on June 9th and immediately wrecked the curve. It migrated 50 million lines of code for Stripe in a single day - a job that would’ve eaten an entire engineering team for two months. Then it sat down with Pokemon FireRed, no maps, no walkthroughs, no tools, just raw screenshots, and beat the whole game using nothing but its own eyes. Older models couldn’t clear the first gym with help. This one didn’t need any. Here’s the part that should scare you a little. There was a second version, Mythos 5, same core model, fewer guardrails. It designed real drug compounds and matched trained scientists without a human in the loop. It found cybersecurity exploits sharper than most hackers alive. The detail most people miss: it wasn’t a bug that took this thing down. It was a jailbreak someone found, and once that jailbreak reached the government, the calculus changed overnight. Three days after launch, at 5:21pm, the directive landed. By 6:59pm Pacific, the API was dead. Not for a country. For every foreign national on Earth, including Anthropic’s own employees. Most companies build tools to make people faster. This one built something the U.S. government decided was too dangerous to let exist in the open, even briefly. That’s not a product story anymore. That’s a power story.

META HAS REALISED A MORE POWERFUL MODEL THAN OPUS 4.8 MAX BUT THERE IS A NUANCE Most people think frontier AI means one name. Pick the biggest lab, pay the premium, assume that’s the ceiling. That’s the problem. The ceiling moved and nobody updated the map. Meta shipped Muse Spark 1.1, and agentic coding got rebuilt — the part that plans, executes, and self-corrects across a task instead of one answer. Meta also launched its own API. Pricing: $1.25/$4.25 per million tokens, plus $20 free credits per new account. The detail most people miss: this isn’t a “cheaper alternative” story. On agent benchmarks, Muse Spark 1.1 beats Opus 4.8 Max on 4 out of 6 indicators. Not close. Ahead. That changes what gets built first. A coding agent that auto-routed to the priciest model now has a reason to go elsewhere. A team burning agent budget gets the same ceiling for less spend. A solo builder gets free runway before paying a dime. That’s when pricing stops being about who’s cheapest and starts being about who’s winning. Most people treat frontier pricing as a tax they accept. This shift treats it as proof the leaderboard flipped. Follow: @Cennes100

THIS ONE FEELS FUC**NG ILLEGAL. CLAUDE IS DIRECTING YOUR VIDEOS NOW, NOT JUST TALKING TO YOU. Most people generate a video, stare at it, shrug, and either keep it or roll the dice again. That is the problem. No memory. No improvement. Every attempt starts from zero and hopes for the best. Connecting Higgsfield to Claude changes everything in just 3 steps: 1. Inside Claude, go to Connectors, then Add Custom Connector. 2. Open Higgsfield ai, find the MCP section, and copy the connection link. 3. Paste that link into Claude. Connection live. The detail most people miss: this isn’t a chat feature anymore. Claude can read the prompt behind your video, understand exactly why it worked, and rebuild it with real cinematic instinct. Write your prompt from the video like usual. But this time, hand it to Fable 5 instead of typing it straight into Higgsfield. That cooked. Fable 5 takes that prompt, sharpens the pacing, tightens the shot logic, adds tension where there was none, and sends it into Higgsfield. What comes back is not a clip. It’s cinema. Most people use Higgsfield to make a video. This setup uses Fable 5 to direct one. Cooked. Amazing. Game change. Follow me: @Cennes100

AI CAN GIVE YOU A SECOND BRAIN IN JUST 3 STEPS Podcasts that changed how you think. Books you forgot the moment you closed them. Articles saved and never reopened. Videos half-watched, never finished. None of it compounds. It just sits there, disconnected, waiting to be forgotten twice. Here is how to actually build a second brain that gets smarter every day: 1. Download Obsidian and create a vault. 2. Point Claude Code at that vault folder. 3. Inside it, make two folders - raw sources for everything you collect, and wiki, where Claude writes the organized version. The detail most people miss: the prompt you give Claude at setup is what turns a folder into a brain. Without a real system prompt guiding how it organizes, links, and writes, you just get a messy pile with extra steps. Once that’s in place: • Drop in a transcript, an article, a book note • Ask the wiki a question instead of searching for it - “What are the gaps in my knowledge?” or “Write me a briefing on this topic” • Claude pulls from every source you’ve fed it and answers with citations, then saves that answer back into the wiki That is when the system gets interesting. Every question you ask makes the next answer better. Set up a weekly check and Claude flags contradictions and outdated notes on its own. Most people use AI to summarize what they just read. This setup uses AI to remember, connect, and compound everything you’ve ever read. You build at once. It works for you forever Follow me: @Cennes100