Big shout out and thank you to @Matthew Sutherland! He helped me with an audit on my website. The website was "fine". But there were issues and errors. I built it on Squarespace. I could fix the errors myself (no way for Claude to do it for me) or ask Claude what some other options are. Claude and I took a look at it, came up with a plan and ended up with this: - a nearly-exact replica of my Squarespace site - website built using Astro - hosted by Cloudflare Workers - version control and history by GitHub - a contact form that gets written to my Airtable as a new lead and a nudge email through Resend to let me know - And the real test: I asked claude to add a new webpage, pointed to the wiki and the vendors website and said build it. It did. I had to tweak the copy but this took a fraction of the time it would have taken me in Squarespace. So a cool audit resulted in a new tech stack for my website that makes my life so much easier. AND I can now cancel Squarespace and save myself the annual fee.

We are kicking off the new "Learn with Your Whole Heart" chapter of AI Bits & Pieces, and you get to help decide what we create next, enter for a chance to win, and help us give back. Cast your vote below. 👇 How the Giveaway Works: ✅ Everyone who votes or adds a comment will be entered to win. ✅ Each person receives one entry per giveaway. ✅ Claude will randomly select one winner from all eligible participants. 🎁 The winner will receive a $25 Amazon eGift Card. ❤️ AI Bits & Pieces will also donate $25 to one of our approved charities. You can learn more about the organizations we support, here: Our Charities: Learn with Your Whole Heart A winner and charity will be selected on Sunday, July 26th at 6pm EDT, and announced sometime on Monday, July 27, 2026. Cast your vote below. 👇

As conversations get longer in LLM Chats, ChatGPT or Claude may give you several questions, recommendations, choices, or action items in one response. Responding to each one can quickly become confusing, especially when you have to explain which item you are referring to. A simple fix: Ask the AI to number every actionable item. For example: 1. Choose between two options. 2. Review a suggested change. 3. Decide what should happen next. Now you can respond: 1. Choose the second option. 2. Make the change. 3. Handle it tomorrow. No copying and pasting. No long explanations. No confusion about which item you mean. Add this prompt to your Project Instructions: “Number every question, recommendation, decision, task, and action item you present. Use a simple numbered list: 1, 2, 3, and so on. When I respond using a number, interpret my response as applying only to that specific item.” It is a small instruction, but it makes everyday conversations with ChatGPT and Claude much faster and easier to manage.

🏈 My friend @Herman Moore called me, former NFL wide receiver, Detroit Lions. "I'm speaking tomorrow to 125 small business owners. Want to join me and talk about AI?" One day's notice. I built one slide with five points. My strategy, let the room decide which ones we went deep on based on body language and reaction. No fixed script, just reading the energy and following it. Herman worked that stage right alongside me. Great public speaker, no surprise there given his career. We had an easy back-and-forth in front of the audience. 25 minutes on stage. Plain English, no hype. Here's what those 25 minutes turned into: - 12 post talk conversations - 5 leads - 2 solid appointments Results: 1. The Deal: AI OS. A 50-hour build. Not a prototype, not a pilot. A real system going into a real business. 2. The Opportunity: AI Executive Coaching. One business wants me in the room at the executive level as a fractional CAIO, not as a vendor they call when something breaks. 3. The Second Opportunity: Enterprise AI Enablement. AI opportunity mapping, then AI education for their front office professionals. Now here is the important part. I didn't walk in with just a polished pitch. I walked in with the practical AI knowledge that I get from AI Bits and Pieces, and advanced development knowledge from AIS+, and AI for Life where I learn to build complex and trending AI solutions. This is where I: try new things, explore advanced ideas, learn from other professional builder, sharpen the saw, ...and stay ready for that moment you may not expect. If it sounds like a full time plus job... it is. However, this is what enables me to walk in with one slide, a friend who trusted me enough to hand me a mic, and 125 people willing to listen for 25 minutes.

I promised @Kyle Covan my next post would be the specific prompts strategies that I used to make my Inbox triage more efficient. Not the philosophy. The actual strategies. 📝 What actually changed for the better this week: - It (Cowork) stopped asking me things it already knew the answer to - When a question was genuinely open, it started handing back a ready answer instead of just a flag - The one narrow auto-accept rule finally got tested by something trying to slip past it Here's how each one played out: 📝 It stopped asking things it already knew. Early runs, it asked "should I create a follow-up note?" for a contact. The same report already showed a meeting booked with that person, two lines up. It had the answer. It asked anyway. Fix: before flagging anything, re-check it against my sent email and meetings first. Five questions became one. 📝 Flagging it isn't finishing it. A Skool contact wanted a meeting time. His only clue was "morning or night." Turned out that meant Jakarta, eleven hours ahead. Fix: don't just flag it as open. Pull my calendar, check the timezone, hand back ready-to-paste times. Three options came back, both timezones shown, nothing left for me to calculate. 📝 The narrow rule finally got a real test. The auto-accept rule only fires on one exact domain. Everything else gets flagged, no guessing. On 7/12, a meeting came in from a different organizer doing the same kind of work, close enough to pass at a glance. It didn't auto-accept. It got flagged. That's the test that actually matters. Not the obvious case, the one built to sneak through. 📝 The number that proves it. Day one: five items needing me. Day five: one. Same volume of email and meetings. The difference was an agent that stopped asking what it already knew.