How to Get Ahead of 99% of People with AI:

Everyone's teaching you to build complex n8n workflows. I'm watching people charge $5K for the simplest shit imaginable. Just helped a dentist save 3 hours daily with a workflow that took me 11 minutes to build. His problem: Double-booking appointments constantly My solution:

I've had so many people come to me about finding a specific niche. All I tell them: "Find a niche you're happy with and will enjoy working within—it's that simple." But they still overthink it to death. So I built an LLM prompt that adapts to YOU and finds YOUR ideal niche.

Everyone's losing their minds over OpenAI's Agent Builder. I spent the last 24 hours testing it and analyzing community reactions. Here's what nobody's saying about the $4B "democratization" play that's actually just vendor lock-in with a canvas: The hype: "Agent Builder

People underestimate how much effort it takes to stick with one thing rather than jumping to the next shiny opportunity every 6 months.

The world is splitting into two groups: those who use AI and those who compete with it. Here's how to pick the winning side:

the AI agent space wants you to believe you need advanced technical skills to make money... but guess what? there are thousands of small businesses that would pay you real money for simple agents doing one thing exceptionally well everyone's chasing complexity while basic

You can be the best in the world at your skill and still make $0. Meanwhile, average people who know how to sell are printing money. The uncomfortable truth: Technical expertise is worth exactly $0 until you learn to sell. I spent 2 months building 20+ perfect workflows.

if you're perfecting instead of shipping, you're going bankrupt and don't even know it yet. ChatGPT proved something that terrifies perfectionist founders: mediocre speed > perfect planning 800M users. mediocre browser. half-baked agents. broken canvas. doesn't matter. they

over the next few days i'll be dropping some sauce about how you can start building, systemizing and integrating AI infrastructures to charge $10k-20k per project i'm going to cover the following topics: - how to pitch in UHNW industries (i personally know some people who sell

> be chinese > don't cry about GPUs > build best LLM models > make them open-source > drop them on X with tiny tweet > get back to work =/ don't be west!

in last 120 days, chinese models released: > kimi-k2-thinking (1t-a32b) > minimax m2 > deepseek v3.2 > glm-4.6 (335b-a32b) > qwen3-vl-30b-a3b (thinking) > qwen3-vl-235b-a22b (thinking) > qwen3-next 80b-a3b (thinking) > glm-4.5v (vlm, 106b-a12b) > deepseek v3.1 > doubao

everyone's using Perplexity wrong and wondering why their business isn't printing money the tool is right there giving you perfect market intelligence and you're treating it like google with a chat interface. here's what broke info product creators do: they ask Perplexity

Met a guy in Latvia who clears $10M/yr Made me look poor bc we met in his restaurant Legit psychopath. No emotion on his face ever. Drives a matte black Maybach. Makes decisions like a fucking robot He taught me something that changed everything about how I operate We were

Ok here's the new flow: UI → Gemini 3.0 pro Code → Claude Sonnet 4.5 Plan → GPT 5.1 Just try this; remove all others.

the AI Syndicate group chat is accepting new applications like and reply if you wanna be added [image generated by a gc member]

See this....

ok, so I built a claude code agent that find domains under $20 and buy them for me. > running autonomously > trying dozens of combinations > researching the web forums > using open source ai models only > costing $2/day to run what a time to be a domain nerd.

HuggingFace just made fine-tuning 10x easier! One line of English to fine-tune any open-source LLM. They released a new "skill" you can plug into Claude or any coding agent. It doesn't just write training scripts, but actually submits jobs to cloud GPUs, monitors progress, and

Something has changed completely. I haven't slept for more than 4 hours in last 48 hours. > i opened terminal > ran llama. cpp > installed qwen 3.5 4B Q4 locally > installed qwen 3.5 9B Q4 locally > started testing side by side It made me shiver to the core! These models