Their only supplied creative asset was a logo. I loosely defined two themes and left the third up to them. Both ran with thinking on High and received the same prompt. Each had: - An RTX PRO 6000 MIG instance with 48 GB VRAM available - LoRA Pilot running on the pod - Prepared workflows and downloaded models for Minimax H3 video generation and Qwen Edit image editing - Permission to download other models or use different workflows - A maximum budget of $1 per video I wanted to see how they'd turn a vague brief into something watchable when they had access to the tools and some freedom to choose how to use them. Choosing what to generate, how to work with the logo, and where to spend that small budget were all part of the task. The comparison started with an argument in an AI community. I said Astra had been giving me better results for this kind of work, then realised I should probably have something to show for that claim.. I develop LoRA Pilot, and this doubled as a test of the MCP server coming in the next version. These videos are experiments around my own product, so that's the connection.

# Vibe Coding Roblox Game MVP in 14 Days Because apparently I need 5+ parallel projects running at any given moment (yes, I DO HAVE #ADHD), and after yesterday I only had 4, I did the only reasonable thing: I started building a Roblox game at night. Yes. Roblox. 🙈 The platform where my total lifetime playtime is around 4 hours. All of it with my son. Which obviously makes me perfectly qualified to think: "Maybe I can misunderstand this badly enough to make something original." At first, I tried to behave like a responsible adult. I did the research. I looked at game performance through MAU, DAU, ARPU, LTV, retention, monetization models, growth strategies, social loops, platform trends, creator economy dynamics, and all the other acronyms that make a person sound smart until they have to build something. Then I threw most of it away. Not because the data was useless. It was useful. But when you start Roblox development in 2026 after a 25-year career somewhere completely else, you need to preserve at least a tiny amount of self-respect. Or at least keep the self-inflicted damage on brand. My theory was simple: maybe not knowing Roblox properly is an advantage. I do not know what you are "supposed" to build. I do not know which mechanics have already been chewed into dust. I do not know what players consider standard. So maybe I can still come up with something that is not just another simulator, tycoon, obby, or pet collector with a different monetization hat. So I got carried away. I wrote down mechanics, weird monetization angles, social ideas, things I did not notice during my extremely scientific 4-hour Roblox field study, and folded them into 4 game concepts. Then I threw them at GPT and Sonnet with roughly this prompt: ```text Here, roast me. These are 4 Roblox game concepts. Tell me what cannot be done, what is naive, what is production suicide, what is impossible on Roblox, what would fail retention, and what sounds like it came from someone who thinks Roblox is just Unity with kids.

If you are training LoRAs or learning modern Stable Diffusion workflows, LoRA Pilot is meant to give you a complete working environment without making you assemble every piece by hand. The stack includes the tools people already use: Kohya SS for proven LoRA training, AI Toolkit for newer model workflows, Diffusion Pipe with TensorBoard, ComfyUI for node-based inference, InvokeAI for a focused generation UI, plus JupyterLab, code-server, dataset prep, tagging, media review, model downloads, logs, and service controls. The useful part is the integration. Models, datasets, outputs, configs, and logs live under one persistent /workspace. You can train, test, compare, restart, and come back later without losing your setup every time a pod stops. LoRA Pilot supports 30+ model families for training: SD1, SD2, SDXL, SD3, FLUX.1, Chroma, Lumina, LTX/LTX2, HunyuanVideo, Wan2.1/Wan2.2, Cosmos, HiDream, Qwen-Image, Z-Image, and more. For inference, ComfyUI and InvokeAI cover basically all relevant current image and video workflows. The project is useful if you want to learn the full loop: - collect images, - prep and caption the dataset, - train the LoRA, - test outputs, - compare results, - refine, - keep the workflow reproducible. It is not trying to hide the underlying tools. You still get the real training and inference stack. LoRA Pilot gives you a cleaner cockpit around it, because sometimes the enemy is not the model. It is the setup. Start here: www.lorapilot.com

🚪 Welcome to AA: AI Anonymous Build. Brag. Buy. Banter. If you're here, it probably means you: - Have more AI tools than you can remember (or afford) - Speak fluent GPT - Have “just one more” project in your Notion, Poppy, etc - Or you simply can't stop using AI to solve problems that don’t exist Either way—you’re one of us now. 😈 🎯 What This Group Is: - A classified-style hangout for AI creators, community owners, tool-sellers, freelancers, and builders - A place to share your offers/community, to collab, and brag about your latest AI genius - A safe zone for AI confessions (memes welcome), weird prompts, hilarious fails, and niche AI obsessions - Promo-friendly (just don’t be a lazy link-dumper, we got standards) ✅ Start Here: 1. Introduce yourself as a NEW POST → What are you building, selling, or obsessing over in AI right now? 2. Share your favorite tool(s) or weirdest AI moment 3. Invite another AI-holic—you know you’re not alone in this spiral ➡️STAY TUNED FOR ADVERTISE IN THE CLASSROOM COMING⬅️ 🧠 P.S. What gets pitched in AA stays in AA. No unsolicited DMs. (Read the Rules) No creepy spam (Read the Rules) Be cool. Welcome to the madness. We’re glad you’re here. 💻🔥

I’m an experienced AI developer who focuses on building practical, production-ready solutions, not just demos that look good on paper. I’ve worked on things like: -Custom AI agents & assistants -LLM integrations (OpenAI, Claude, open-source models) -Automation pipelines & AI-powered tools -Backend + API integrations to make AI actually usable in real products I care a lot about clear communication, fast iteration, and delivering something that genuinely helps your business — not overengineering or buzzwords. I’m happy to suggest better approaches if I see one, and I keep things transparent so there are no surprises. If you already have a clear plan, I can execute quickly. Happy to jump on a quick call or chat to see if we’re a good fit. Looking forward to working together!