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🔒 Q&A w/ Nate is happening in 5 days
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🚀New Video: Claude Code for Non-Coders (6 Hour Course)
This is a complete beginner course on becoming AI native with Claude Code, no coding background required. I take you from your very first prompt all the way to building your own skills, sub-agents, a second brain, and automations that run on their own in the cloud. It's all real examples and step-by-step builds, so you can follow along and walk away with AI systems that actually do work for you. Feel free to skip around using the timestamps below to whatever piques your interest.
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🏆 Community Wins Recap | July 4 – July 10
From AI operating systems and first client deliveries to open-source tools, second brains, and personal AI assistants, this week inside AIS+ showed that the best products often start by solving your own problems first. 🚀 Standout Wins of the Week inside AIS+ 👉 @Miguel Alfonso Murillo closed 3 clients using the AIOS he built for his own business, sharing how his journey evolved from experimenting with ChatGPT to running his operations with AI. 👉 @James Joens delivered his first client project just 11 days into AIS+, saving his client $1,400 on a single deal and following it up with his first in-person cold outreach meeting. 👉 @Jenni Saarenpää built her own AI-powered Wealth Analyzer after realizing the tool she wanted didn't exist, creating a personal FIRE planning app with powerful financial modeling. 👉@Konstantinos Karamatzianis built and open-sourced Session Guardian, solving Claude Code session limits for himself before sharing it with the entire community. 👉 @Girish Mohan created an AI Treasurer to manage expenses for a 100-person family festival, turning a real-life headache into a practical automation. ⸻ 🎥 Super Win Spotlight | @Jacob West Jacob joined AIS+ looking to build a business, not just learn AI. Since then, he has: - Built the confidence to leave his job and go all in on entrepreneurship - Closed larger AI projects by applying real business fundamentals - Shifted from learning tools to building a scalable business around them His biggest takeaway? Skills matter. But confidence comes from building, taking action, and surrounding yourself with people already doing what you want to do. 🎥 Watch Jacob's story 👇 ✨ Every week, members turn personal projects into client work, ideas into systems, and momentum into real businesses.
🏆 Community Wins Recap | July 4 – July 10
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What do you get if you upgrade to AIS+?
Some of you have never heard of the AIS+ community. Others have but the part that trips you up is the actual difference between the two. Either way, this post will give you clarity. This free group is a bundle of quick resources pulled from my YouTube videos, plus a massive open community that anyone can join. It's a great place to get your bearings and see what's possible. But it's open to everyone, it can be noisy and overwhelming, and there's no path through it. You can get help from other members, but I rarely answer questions here. AIS+ is the opposite: - A step by step roadmap with a clear order, so you're never guessing what to do next - A much smaller community of people who are seriously committed to building and selling AI agents - I answer questions every day and run a weekly Q&A call where you can get direct access to me For the course material: The roadmap takes you from zero to building and selling AI agents, and the whole thing is built on the latest tech like Claude Code and Codex. We update it constantly. The old n8n material has been archived. It's still there if you want it, but it's no longer the focus, because the way you build today has moved on and the courses moved with it. Here's the actual roadmap inside, in order, with when each piece opens up: 1. Start Here (opens the moment you join). Gets you oriented. How the community works, the path ahead, and how to get help when you need it. 2. Build Your Portfolio (opens the moment you join). Why a portfolio matters, beginner level tutorials, and what types of projects to focus on. You end up with real work you can show a client. 3. Claude Code (opens the moment you join). This is now its own dedicated course. Build faster, turn ideas into working automations, and go deep on the tool serious builders are using right now. This takes you from beginner to advanced, step-by-step. 4. Get Your First Clients (opens after 30 days). Getting your first clients is hard, because you don’t have any case studies yet. So, we analyzed all of the success stories from our members and found they get their initial clients with two different techniques: warm outreach and Upwork. So, we teach both techniques in detail with exactly what to say, exactly how to position yourself when you have no proof.
I made these 5 Changes to make my "Resume screening & Ranking Workflow", Production Ready.
These are:- 1. Multiple simultaneous job openings ~Before: The Gmail trigger only watched one specific label, only one role's applications would reach the workflow, others would sit unread, invisible to the whole system. ~After: The trigger has filter (just "unread + has attachment"), applications for any number of concurrent roles get picked up, with correct per-role routing happening downstream based on each email's own label. 2. Candidate scoring was reject/accept ~Before: AI hard filtered out candidates missing "must-have requirements" and marked them "Rejected" with no score. ~After: Every candidate is scored 0-100, no one is filtered out. A weak match just gets a low score with reasoning explaining the gaps. 3. Category field didn't exist ~Before: Only a raw numeric score. ~After: Every candidate gets a High/Medium/Low category, computed automatically from the score band (68+/35-67/0-34). 4. Job Openings sheet reads was wasteful at scale ~Before: Every single poll re-read the entire Job Openings sheet from Google Sheets, regardless of whether anything changed. ~After: A 10-minute cache (via workflow static data) means most polls within 10 Min range skip the Sheets API call only refetches after 10 min. 5. Duplicate candidates wasn't handled ~Before: A candidate resubmitting a resume for the same role created a second row. ~After: Rows are matched on Email + Job Code and updated in place a resubmission overwrites the old row instead of duplicating it. If you are building something not think to build a system production ready from day one. It's not how it works, instead keep testing your workflow, keep building guardrails , make one thing better at one time. Which update you liked the most?
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I made these 5 Changes to make my "Resume screening & Ranking Workflow", Production Ready.
What 1.5 days and about 5 billion AI tokens produced
I just shared the full walkthrough of the Vois website refresh on LinkedIn. I have attached it here too because the process is more useful than the screenshots alone. The headline is big: less than 1.5 days from idea to deployment, with about 5 billion text-agent tokens used along the way. That total excludes image and video generation. Before I posted it, I asked a friend who is a veteran UI/UX designer to review the work. His response: "I hate you. this is good... I hate you for making it" For context, I am the founder of Vois, and this is my own product and codebase. I ran the refresh like a coordinated AI product team. I stayed responsible for the product direction, visual taste, quality bar, and every ship or reject decision. The setup: • GPT-5.6-sol handled the main orchestration. It broke the work into plans, assigned specialist agents, integrated their output, and kept the release moving. • More than 300 specialist sub-agents using GPT-5.6-terra and Grok-4.5 worked in parallel and in sequence across planning, UX, choreography, visual design, asset creation, copy, frontend development, mobile QA, accessibility, browser testing, performance optimisation, and deployment. • Fable-5 acted as an independent advisor. It reviewed alternatives, challenged decisions, and sent weak work back through another pass. • GPT-image-2 generated the images and characters. Grok Imagine generated the video assets. Their generation usage is not included in the roughly 5 billion text-token total. The text-agent token split: Main agent: 13% Sub-agents: 51.3% Advisor agent: 35.7% What shipped: • a complete visual refresh for Vois • a cinematic, scroll-driven homepage • a consistent design system across the site • dedicated desktop and mobile behavior • generated visual and motion assets • accessibility, performance, browser, and deployment fixes The 5 billion total makes the trade visible. I used far more compute and coordination to compress a large design and engineering cycle into less than 1.5 days.
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