Most people lump everything into “AI automation.” That’s why their workflows break and their quality tanks. Before asking “How much can I automate?”, ask one question: Who owns what? There are 3 distinct levels of AI leverage: 1. AI Assist (You are the driver) • AI researches, drafts, and challenges your thinking. • It suggests, but you decide where to steer. • Your Job: Direct & Judge. 2. Traditional Automation (You build the train tracks) • Trigger ➔ Action: "If new lead lands ➔ enrich data ➔ send notification." • The system follows fixed instructions. • Your Job: Design & Approve. 3. AI Agents (You set the destination & guardrails) • You define the goal, tools, and constraints. • The agent figures out the intermediate steps. • Your Job: Govern & Intervene. Notice the pattern? The human never disappears. Your job just shifts upstream. If you run a 1-person AI-native team, you can suddenly have: → Competitor research running in the background → Content getting prepped → Leads routing automatically → Agents optimizing campaigns Massive leverage. But also massive liability if you don’t manage control. Don't start with tools. Map who owns what first: - Where does AI assist? - Where does automation execute? - Where does an agent get autonomy? You don't need to do every task. But you still own the outcome.

Recently, I had some sales calls with clients last week. Some went well, and some didn’t. I started thinking about how I could improve. So now, after every call, I review the transcript with AI to get honest feedback on what I did well, where I went wrong, and what I need to improve. This helps me learn from every call and do better on the next one. How to set it up: - Grab the transcript of one recent call where you already know how it went. - Run the prompt below, then calibrate: tell it what it misjudged, what counts as giving something away in your world, what good discovery looks like for you. Iterate until the feedback matches reality. - Then save it as a skill ("use the skill creator to save this"). After every call it's one command. The prompt: Here is the transcript of a sales call I was on: [attach or paste]. Analyze my performance as the seller. Grade the call out of 10 and break down: how well I understood their situation before pitching, how much I talked vs listened, where I gave something away without asking for anything in return, which objections I handled vs dodged, and whether we ended with a clear next step. End with the 3 things to do differently on my next call. Be direct, no flattery.

Hey Academy, Learn how the DeepSeek Harness works and why it is attracting so much attention in the coding agent space right now. We break down the technical details simply so you can apply this to your own projects. This video explores the DeepSeek Harness, a new tool that has quickly gained significant traction with over 12,000 commits. If you are currently using tools like Cursor, Cloud Code, or Codex, this breakdown is designed to help you understand how these coding agents function under the hood. We approach this advanced topic from a practical perspective, making it accessible for developers who want to level up their workflow. By the end of this session, you will have a clear understanding of the DeepSeek Harness architecture and how it compares to other coding agents you might already use.

Hey Academy, today I'll review the new Deepseek AI agent harness and break it down. Check the calendar. https://www.skool.com/content-academy/calendar?eid=8950d8d5badd4aa7b6c39f6c75fcbc7f&eoid=1786986000

Hey Academy, Most AI agents live in a separate workspace. Shockwave is different—it's an open source desktop app that puts a Claude Code-style agent directly inside your note taking app (second brain), working in the same files you are. The real difference is the sync. Every workspace is backed by a GitHub repo, so your desktop, the cron jobs running on your server, and your Telegram chats are all working on the same files—fast enough that it feels like one place instead of three. Dictate a note from your phone and it lands on your desktop seconds later. Reply to a cron report in Telegram and pick that same conversation up at your desk. I also cover linked notes and the live graph, self-improving skills, memory, and a full install from droplet to Telegram bot.