Hey everyone here is my introduction (again with more context): 20+ years in performance improvement. 5 months into AI and automation. That combination is why I'm here. My name is Chris Sharkey. I run Sharkitect Digital out of Kansas City. Most people in the AI space sell automations. I don't. I sell an AI Transformation Partnership — built around one mission: helping small businesses understand, trust, and actually implement AI into their operations. Not by handing them tools. By diagnosing their systems and solving at the root. Good doctors don't write prescriptions the second you walk in. They diagnose first. That's the model. Three months ago I started applying this with real clients. First engagement: a construction company that reached out for a completely different project. I sat with them. Ran the diagnosis. Mapped their workflow end to end. What they called for wasn't the real problem. It was a problem — just not the one bleeding them out. Once I showed them what was actually happening, it was clear: they were spending 80–100 hours every week doing nothing but manually moving data from one place to another. By hand. 35 minutes per estimate. Calculation errors costing them real bids. They didn't fully realize how much it was costing them until we put it on paper. So I built the solution around how they already work. No new system to learn. No process overhaul. It adapted to them — not the other way around. Training took less than two hours. Adoption was immediate. 35 minutes → 30 seconds. They're saving $104K–$156K annually in labor alone. That's the original project they called about? Still on the list. Just no longer a priority. Within the first month, they saw the shift. We're now working on two additional projects together — each one targeting a different operational bottleneck. None of it is built in isolation. Every system is designed to stack, integrate, compound, and scale. Each build talks to the last. The business gets smarter with every layer, not just bigger.

Hey everyone, After 3+ years building AI automation systems, I realized something: the bottleneck isn't the model. It's context and resources. Better context = better agents. But here's the real problem: everything is segmented. Your agents are in Pydantic AI. Your workflows are in n8n. Your knowledge is scattered. Your execution is fragmented. So I built AgeniusDesk, a unified platform that manages ALL of it: agents, workflows, knowledge, resources. One command center. No silos. What is it? A unified management layer for AI platforms, agents, and workflow frameworks (n8n, Pydantic AI, Flowise, etc.): - Multi-instance n8n visibility + control from one dashboard - AI agents (Pydantic, Claude, OpenAI, local models) as first-class citizens - Real-time error detection + AI diagnostics (catches issues before they blow up) - Agent Lab: write and debug code with AI, deploy instantly - Encrypted secrets vault (never plaintext, never exposed) - Shared resource layer: context, guardrails, execution contracts - Full local/self-hosted control (no vendor lock-in) Built on Python + FastAPI + Vanilla JS. Docker compose ready. Why I'm posting this here: This community gets it. You're not asking for another no-code builder or magic button. You're building real systems, running agents in production, managing multiple deployments. AgeniusDesk is built for that. What I want from you: Drop a comment and tell me: - → Are you managing multiple n8n instances or agents right now? - → What's your biggest pain point? (visibility? errors? scale?) - → Would you test-drive this if it solved that problem? I'm open-sourcing the whole thing. No strings. Just want to build something the community actually needs.

In this video I walk through Claude Code's new iMessage channel, which lets you text your Claude Code session from your phone and have it run tasks like it's sitting at your computer. I cover the full setup process, the current limitations you should know about, and break down the difference between Dispatch, Channels, and Remote Control so you know which one to use.

📚ALL RESOURCES CAN BE FOUND HERE📚 This is the complete Claude Code course. I put a ton of time into this one. I start from zero and walk you through everything: setup, building workflows, deploying websites, creating agent teams, browser automation, finding clients, pricing your work, and way more. To make it even better, we don’t ever write a single line of code. By the end, you'll know how to use Claude Code at a professional level and how to actually turn those skills into income. Whether you've never opened a terminal or you're looking to go deeper, this course covers it all in one place.

I’ve been watching our 3,400 students in AIS+, and I noticed the people making the most money are all doing this: https://app.aiautomationsociety.ai/10-hours The people charging $5,000, $10,000, even $50,000 per engagement weren't better builders. Before they ever opened n8n/Claude Code, they did one thing differently: → They found the automations worth building first. It’s like a mini audit. Just by asking a few questions and mapping out the opportunities, they were able to get clients excited and also choose the right projects to work on. And the best part is you can practice by running this same system on YOURSELF. I call it 10 Hours to 10 Seconds, because doing this can easily save you or your clients 10 hours a week by automating the right things. Get all the details here: https://app.aiautomationsociety.ai/10-hours Talk soon, Nate PS: If you’re in AIS+, this has already been updated and provided to you at no cost. You can find it in the classroom