@Michael Pansolini Hey all, I'm a real estate GP with a full-time day job and a busy family. I'm building an AI "chief of staff" to handle task follow-ups, deal screening, email drafts and team check-ins, and I'd love to learn from people who've already done it. Where I'm at: - Private vault: Mac Studio M5 Max, 64GB, running local AI for sensitive business documents - Orchestrator: one cloud server running OpenClaw as a "CEO" agent that spins up helpers (builder, QA, ops) on demand - Dev work: Claude Code - Interface: Telegram / Discord - Security: vault fully segregated; servers can never connect into it What I'd love to hear: 1. Hardware: Mac mini vs. Mac Studio? How much RAM? Would you change anything? 2. Local vs. cloud AI: which local models are actually useful? Where do you still use Claude/GPT? 3. Daily use cases: what saves you the most time? 4. Creative or weird uses: one-off automations that surprised you 5. Segregation: how do you isolate your assistant from the rest of your infrastructure? 6. Multi-agent setups: org chart of agents vs. one agent with skills? What worked? 7. Lessons learned: what would you do differently? Easy reply template: Setup (hardware/RAM): Local models I use: Best daily use case: Most creative use: How I isolate it: Biggest lesson: I'll pull everything together into a summary and share it back with the group. Happy to share what I learn as I build too.

Been working with software systems for more than 10 years, mostly around backend, cloud, AI, automation, and product development. One thing I’ve learned, knowing a programming language alone usually isn’t enough. The harder part is understanding the actual business. How to automate work that’s still manual. Connect systems that don’t work well together. Build AI into real workflows. Keep the backend stable when usage grows. Deal with data scattered across different tools. These are the kinds of problems I’ve spent a lot of time working on here in Japan. But I’m curious about the US side. For people running companies in the US, what technical skills are becoming difficult to find? And what skills do you think companies will need more of over the next few years?

I am an entrepreneur and a tech professional. Been working with software systems for quite a while, and one pattern comes up a lot. The first version works fine. Then customers grow, operations get bigger, and little technical problems start showing up everywhere. Too many manual steps. APIs that don’t talk properly. Slow backend. Data sitting in different places. AI added, but not really connected to the actual workflow. Usually not one huge problem. More like five small ones quietly costing time every day. For those running a company now, what’s becoming harder on the technical side as you grow?

First, big thanks to the ADMIN for building this community. Really appreciate the work behind it. Happy to be here, and happy to contribute where I can. Most of my work is with global clients, usually founders or companies building something with a real vision behind it. Not really looking for one-off tasks only. I prefer working with people who want to build, improve, launch, and keep growing a product over time. I’m based in Tokyo, Japan and work mainly across AI, full-stack development, SaaS, automation, mobile apps, and product development. I also have access to active development teams and individual engineers here in Japan. So depending on the project, can support either a specific technical area or a full development process. - Main areas I work in: • AI agents and multi-agent systems • LLM apps, RAG, AI search, knowledge systems • Business automation and internal AI tools • SaaS platforms • Web applications • Mobile apps • CRM and booking systems • Marketplace and matching platforms • Logistics and dispatch systems • GIS and location-based apps • AI customer support systems • Data processing and analytics • Recommendation systems • API integrations • Cloud infrastructure and scaling - Typical tech stack: Frontend React, Next.js, TypeScript, JavaScript, Tailwind Backend Python, FastAPI, Node.js, Express, Golang, REST, GraphQL, gRPC AI / ML PyTorch, TensorFlow, Hugging Face, LLMs, RAG, vector databases, AI agents, NLP, computer vision Mobile React Native, Flutter, Swift, Kotlin Database PostgreSQL, MySQL, MongoDB, Redis, Pinecone, FAISS, Elasticsearch Cloud / DevOps AWS, GCP, Azure, Docker, Kubernetes, CI/CD, GPU systems - Have worked across quite a few industries too. Healthcare, logistics, hospitality, education, finance, e-commerce, media, marketplaces, SaaS, customer support, field services, and more. - I can also help with: • Product planning • Technical architecture • MVP development • Production development • AI product strategy • Workflow design

Two questions: 1) What is everyone using to manage content and posting online? I'm at the point where I have a lot of my infrastructure in place to create and develop content, I just need something to manage posting to all different platforms (LinkedIn, FB, Instagram, twitter, etc...) 2) How are you generating images and visuals for the posts on each platform?