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Jul 14 •
Welcome to patrol114 AI Coding Lab
🫠 Welcome to patrol114 AI Coding Lab. 🫠 https://angonpl.gumroad.com/ This community is for builders who want to create practical AI systems, automations, agents and local LLM tools — not collect vague theory. ## Start here 1. Introduce yourself in the comments. 2. Tell us what you are currently building. 3. Share your technical stack. 4. Describe the main problem blocking your progress. 5. Open the Start Here section in Classroom. 6. Join the first Monthly Build Challenge. ## What you will find here - practical AI and automation workflows, - reusable templates and starter projects, - local LLM and self-hosted AI setups, - technical Q&A and debugging support, - implementation guides, - product updates, - monthly build challenges. ## Community rules - Share enough context to reproduce technical problems. - Never publish API keys, passwords or private credentials. - No spam, misleading claims or guaranteed-profit offers. - Critique code and ideas, not people. - Share both successful implementations and failed experiments. ## First challenge Build and document one useful AI automation in 7 days. Introduce yourself below using this format: - Name: - Current project: - Tech stack: - Main technical problem: - What you want to build in the next 7 days:
Aug 8 •
What Do You Actually Use Uncensored LLMs For? [🇵🇱🇬🇧]
🇬🇧 Uncensored LLMs. What do you actually use them for I am currently testing local uncensored models, including Qwen3.6 35B Uncensored. I am curious about one thing. What is your main reason for choosing an uncensored model? 🧠 More freedom in reasoning 💻 Coding and agent workflows 🔧 Fewer refusals on technical tasks 🧪 Experiments and research 🤖 Creative use and unusual workflows 🔒 Full local control For me, the interesting part is not simply that a model is "uncensored". I want to know whether that extra freedom actually makes it more useful in real workflows. 💬 Comment with one reason why an uncensored model makes sense for you. ________________________________________________________ 🇵🇱 Uncensored LLM. Do czego naprawdę ich używacie? Aktualnie testuję lokalne modele uncensored, między innymi Qwen3.6 35B Uncensored. Jestem ciekawy jednej rzeczy. Jaki jest Wasz główny powód, żeby wybierać model uncensored? 🧠 Większa swoboda w reasoning 💻 Coding i agent workflows 🔧 Mniej odmów przy technicznych zadaniach 🧪 Eksperymenty i research 🤖 Creative use i nietypowe workflow 🔒 Pełna kontrola lokalnie Dla mnie najciekawsze nie jest samo to, że model jest "uncensored". Chcę sprawdzić, czy ta większa swoboda faktycznie daje przewagę w realnych workflow. 💬 Napiszcie jeden powód, dla którego uncensored model ma dla Was sens.
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Jul 14 •
Introduce Yourself and Your Current Build
Introduce yourself using this format: - Name: - Location or time zone: - Current project: - Main programming language: - AI tools you use: - Biggest technical obstacle: - One thing you want to ship in the next 7 days: A prototype, repository, script, automation idea or technical problem is enough.
Jul 14 •
Monthly Build Challenge #1 — Ship One Useful AI Tool
Build and document one useful AI project in 7 days. Goal: Create a small but working AI tool, automation or agent that solves one real problem. Accepted projects: - AI agent - API automation - local LLM application - RAG prototype - browser automation - research pipeline - developer tool - data analysis workflow Submission: 1. Problem description 2. Technology stack 3. Working prototype or repository 4. Screenshot or short demo 5. What worked 6. What failed 7. What you would improve next
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