$200 cash prize. One winner. Let's go!!!! THE CHALLENGE: "The Fake Client You just got hired. Here's your client 👇 - 📎 Download the full client brief attached to this post. YOUR DELIVERABLE: - A complete brand voice document for Ruff Cuts. - How you structure it, how detailed you go, what sections you include, how you get AI to nail the tone... that's all on you. - Same brief. Wildly different outputs. Show us what you've got. 💰 PRIZE: $200 CASH - One winner takes it all. 🗳️ HOW WE PICK THE WINNER - Community vote. Your fellow members decide. 📅 DATES - Submit by: Saturday, April 25th at 12:00 PM EST - Winner announced: Monday, April 27th at 12:00 PM EST 🎟️ WHO CAN ENTER - Premium and VIP members only. - Not a member yet? You know what to do. 📝 HOW TO SUBMIT - Drop your brand voice guide in the comments below. Text, screenshots, PDF, whatever works. Just make sure we can see it. ⚡ A NOTE ON FUTURE COMPETITIONS - This first one is straightforward on purpose. We wanted to start simple. - They won't all be like this. Challenges will get harder, more creative, and more technical as the weeks go on. Enjoy the easy win while it lasts. First competition. First winner. First $200. - Who's taking it? 👇

I just listened to a young entrepreneur talk about this pipeline and it reminded me of this community and what Jake is preaching. He says, if you gain 10k followers, which is not hard tool do if you stay consistent, then that’s enough to point them to a software tool and make six figures a month for it. He says that you can literally just copy someone else’s software and do this. I own a luxury house cleaning business and I plan to use instagram to discuss my expertise and point house cleaners to my software. I wonder, does it make sense to have a community also, or is that another pipeline for another time? I am trying to make sense of when it’s smart to point people to software and when we should point them to community. Or maybe it’s just both, or either or…? Curious on your guys thoughts on any of this!

Some of you are building right now. You're building a workflow, or an app, or an automation. If you're not a scaredy-cat, tell us what you're building!!!! I'll go first... MY PASSION PROJECT: I am building a free app for independent house cleaners everywhere, so they can professionalize themselves. MY REAL WORK: Otherwise, I'm building automations in my company that are were previously being done manually by an administrator. We're in a hiring frenzy, so I just built workflow automations that tracked where every candidate was in our pipeline, while simultaneously assessing them on communication and skills and moving them forward if they responded. My main admin was actually so happy I figured this out, because she usually has to go through resumes one by one to filter out all the obvious NO's, which takes many hours. I can't wait to know!

Over the past couple of days, there have been numerous discussions about the heavy use of acronyms in the AI space and the overwhelming frustration that those new to AI often feel when trying to understand conversations in the community. I created this resource to help.Below is a comprehensive, well-organized list of the most commonly used acronyms in AI — covering LLMs, prompting techniques, model architectures, training methods, tools, and more. Whether you're just starting out or looking to fill in the gaps, this should serve as a quick and handy reference.Commonly Used Acronyms in the AI Space Core AI & ML Foundations - AI — Artificial Intelligence - AGI — Artificial General Intelligence - ASI — Artificial Superintelligence - ML — Machine Learning - DL — Deep Learning - RL — Reinforcement Learning Models & Architectures - LLM — Large Language Model - SLM — Small Language Model - LMM — Large Multimodal Model - VLM — Vision-Language Model - GPT — Generative Pre-trained Transformer - BERT — Bidirectional Encoder Representations from Transformers - MoE — Mixture of Experts - CNN — Convolutional Neural Network - RNN — Recurrent Neural Network - LSTM — Long Short-Term Memory - GAN — Generative Adversarial Network Techniques, Prompting & Alignment - CoT — Chain of Thought - ToT — Tree of Thoughts - RAG — Retrieval-Augmented Generation - RLHF — Reinforcement Learning from Human Feedback - DPO — Direct Preference Optimization - LoRA — Low-Rank Adaptation - QLoRA — Quantized Low-Rank Adaptation - PEFT — Parameter-Efficient Fine-Tuning - ReAct — Reason + Act Other Practical & Business Terms - POC — Proof of Concept - MVP — Minimum Viable Product - GenAI — Generative AI - MLOps — Machine Learning Operations - AEO — Answer Engine Optimization This list focuses on the acronyms you’ll encounter most frequently in papers, forums, product documentation, and day-to-day AI discussions. Feel free to bookmark this post — I’ll keep it updated as new terms become common. If you come across an acronym that’s missing or want a deeper explanation on any of them, just drop a comment and I’ll add it.

I created a scope of work, quotes, and invoicing system that suggests project pricing for me! Pricing things out for quotes used to take me a long time and now I just have to review for accuracy! I work with a lot of nonprofits, so it also calibrates for this if flagged 🌬️🔥