Hey Academy, This post includes organized recorded sessions from the daily live. It's updated daily. Upcoming: M-Th 10am (calendar) 🖥️ Watch now (must be in the AI Architects to watch recordings) 9/3 - INSANE New Coding Agent 9/2 - Prompt Caching Explained - Agent Loopers Explained 9/1 - Building Voice Agents - OpenAI Hack Alert 8/30 - Six Coding Secrets 👥 Community Update 9/2 - New daily pulse post (one per week) that organizes every daily live session and its value. We'll have new posts like this each week (for that week) and it will serve as the chapter in the classroom too. 💬 Comments Have something you want me to cover or have a question, drop it in the comments 👇

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.

Hi! Welcome to the Content Academy. This community is designed to help you build a profitable content strategy, efficient team & automated content process. Step 1: Introduce yourself in THIS THREAD below! (✄ copy/paste template 👇) Where are you from? What are you working on? What immediate help do you need? Step 2: Read the rules and checkout our free courses and paid programs

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.

- Open the Claude desktop app → Cowork - Click + → Record a skill, grant screen recording permissions and click Start Recording - Perform a task you repeat often, from start to finish and narrate it to Claude Sample Prompt (Narration): While recording your skill, say something like this out loud: I'm doing [TASK] to achieve [GOAL]. First, I [ACTION] because [REASON]. Next, I [ACTION] so that [OUTCOME]. If [CONDITION] happens, I [ALTERNATIVE ACTION]. This is the most important rule: [RULE OR DECISION]. Ignore any clicks or tabs that aren't part of this workflow. When the task is complete, verify that [SUCCESS CRITERIA]. - Claude packages it into a saved skill - Open a new chat and run it using /your-skill-name - To automate it, ask Claude to schedule the skill Automation Prompt: Let's make this a scheduled task. Ask me when it should run, then create the schedule for me.