Hey everyone, I recently finished building my AI agency website and would love to get some feedback from the community. I'd appreciate any thoughts on the design, user experience, messaging, layout, or anything else that stands out. My goal is to keep improving it and make it as professional and effective as possible. Thanks in advance for taking the time to check it out. I'm looking forward to hearing your honest feedback and suggestions for improvement. Here's the link: https://veloro.teamveloro.workers.dev/

I'm a solo founder building a productised AI operating system — not an agency, not the next Morningside or Klarus. One vertical first (UK self-storage), then rinse-and-repeat. Niche within a niche, on purpose. The end goal is a closed loop: the AI wired into everything the business runs on — Slack, meetings, email, docs, their core platform — so nobody hand-feeds it context. It understands the why behind decisions and acts unprompted. My bet: without that loop, you're just selling a chatbot, not solving real pain. Architecture so far: - A cloneable "bridge" that on setup generates per-engine config (CLAUDE.md / AGENTS.md / GEMINI.md) + an Obsidian vault for the human view. Engine-agnostic, no data, no keys. - Separate "brain" repos = the data. One repo = one key = one hard permission wall, so personal can't leak into company. - "Modules" = bolt-on capabilities. First one's a voice agent doing inbound/outbound/email. - Git-backed, so it syncs to any device. Sharing this openly on purpose — there's enough money in this space for everyone, and honest feedback is worth far more to me than the idea is to a copycat. What I actually want from people who've built and sold this: 1. The loop: how do you do ambient ingestion (Slack/meetings/email → distilled memory) without drowning in noise and cost? Git/markdown, DB, or vector store? 2. Repeatable template: clone-and-run-a-script, or a real provisioning system? What does one-person-deployable look like? 3. Onboarding non-technical clients without a support nightmare. 4. Multi-tenant: updating/monitoring/versioning many clients centrally, no hand-touching. 5. Pricing: real setup + monthly, SMB vs mid-market vs enterprise. 6. Enterprise table-stakes: governance, security, data residency. 7. Does a one-click version of this already exist that I've missed? Roast it — where does this break?

In this video I'm going to be teaching you how I'd make money with AI in 2026, if I had to start over from scratch. This will be the most actionable video you've ever seen about making money with AI. I'll breakdown everything, and fitting it all into this easy to learn 24 minute guide. Hope you enjoy!

Hi everyone! I’m Sergei, based in Silicon Valley / San Francisco I’m building AIOS Cortex, my AI automation agency | aioscortex.com. Big focus now on AIOS for businesses! Let me know any feedback. Thank you all

From enterprise AI deployments and first clients to agentic systems, private AI stacks, and 24-hour debugging marathons - this week inside AIS+ was another reminder that momentum compounds. Some members landed their first paying clients. Others shipped systems serving thousands of users. 🚀 Standout Wins of the Week inside AIS+ 👉 Michael Wacht received validation from a $100M+ revenue company after his AI Voice Agent cleared a four-week backlog in just 48 hours and is now handling thousands of customer conversations every day. 👉 @Tyler Capps landed his first client after a year of learning, building, and showing up consistently while balancing a full-time job and family life. 👉 @Jenni Saarenpää spent a solo week building with Claude Code and shipped an agentic team, design system, video pipeline, and multiple production-ready assets in just five days. 👉 @Chase Coughlin followed the AIS+ playbook from day one, completed the first courses, built automations for friends, landed his first paying client, and already has an upsell opportunity lined up. 👉 Santella Austin pushed through nearly 24 hours of debugging to finally connect n8n MCP and ship a working email-to-Google Sheets automation. ⸻ 🎥 Super Win Spotlight | @Frank Priboy Frank joined AIS+ looking for better ways to build with n8n. What he found was a community of builders willing to share knowledge, solve problems together, and help each other move faster. Since joining, he's launched his consultancy, landed paying clients, and started building systems that would have required entire teams just a year ago. His biggest takeaway?