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Afternoon Tea is happening in 4 days
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Welcome to Clief Notes. Here's where to start.
1. Watch the intro video and introduce yourself in the intro post here 2. Start with The Foundation (free course). Concepts, folder architecture, prompting framework. Everything else builds on this. 3. Check in at the bottom of each lesson. Polls, discussion posts, other members working through the same stuff. Use them. 4. When you're ready to build real things, move to Implementation Playbooks (Level 2). When you're ready to build your own tools, Building Your Stack (Level 3). 5. Post your work. Ask questions. Help others when you can. What are you here to build?
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šŸ† WEEKLY COMP #4: THE AGENCY šŸ†
šŸ’°Ā $325 CASHĀ šŸ’° That's a full year of Premium. Win this and your membership pays for itself. But the real prize this week isn't the cash. Keep reading. šŸ“‹Ā THE CHALLENGE You just got hired again. Meet Diana, owner of a 4-person boutique real estate team in Austin. 60-80 transactions a year, mostly residential, mix of buyers and sellers. šŸ“Ž Download the full client brief attached to this post. Short version: She doesn't want software. She wants aĀ systemĀ she can teach her team to use in a week. Your job is to build the AI operating system for her team. This isn't one specialist. This is a small team of AI specialists organized into a multi-folder ICM architecture, with a clear handoff protocol between them. šŸ—‚ļøĀ WHAT YOU'RE BUILDING Last week was one specialist. This week is a team of them. Required folders: šŸ“Ā 00_orchestrator/ — The router. Where every request starts. Decides which specialist gets the job. šŸ“Ā 01_lead_qualifier/ — First contact with new prospects. Captures intent, budget, timeline. šŸ“Ā 02_property_research/ — Deep research on specific properties or neighborhoods. šŸ“Ā 03_client_communication/ — Drafts emails, texts, follow-ups in the voice of the agent. šŸ“Ā 04_transaction_coordinator/ — Handles the deal once it's live. Checklists, deadlines, document tracking. Each folder must include: - šŸ“„ identity.md - šŸ“ rules.md - šŸ’¬ examples.md - šŸ”— handoff.md (NEW for Week 4 — how does this folder pass work to another folder?) - Plus a root-level README.md explaining the architecture, the typical flow, and how to onboard a new team member. šŸ”„Ā WHY THIS ONE IS DIFFERENT Weeks 1, 2, and 3 were warmups. This is the comp where the work you ship genuinely starts to look like the real thing. The handoff protocol is the test. Anyone can build five folders. The hard part is defining what each one needs from the previous one and what it passes to the next one. That's where multi-agent systems actually live or die.
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I come asking for help! (NEW ROUND! VOTE ONCE A DAY PLS)
Because of the Amazing support you all gave for the first Round Wylder (my step daughter) made it into the second round! You can vote once a day and some days are 2x votes ! I would love love love if any of you support her going to work with some of the best animal rescues in the world to just cast at least one free vote if you can! You can vote here! Not Ai related so sorry for that ! Wylder | Junior Ranger
Are we all early or right on time? šŸ¤”
I know we’ve all seen @Jake Van Clief ’s post https://www.skool.com/cliefnotes/each-dot-is-32-million-people?p=c222c789 I see things like this all the time leading me to believe that we are all ahead of the curve when it comes to this stuff. But then I see things like the attached photo. I see so much content about AI adoption in companies and different people talking about how they use it. I also see so much content about deals with large orgs and deals they have with anthropic or OpenAI. I often wonder what this looks like. Are people sitting down implementing the same methods as us? Or is it an army of people chatting with Claude and leaving it there. Does anyone have any inside info on how these large companies are implementing this tech? Are the adoption percentages we are told accurate? I feel like the truth is somewhere in the middle like with most things.
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Are we all early or right on time? šŸ¤”
šŸ Foundations 2.7 Check-In
This one traces AI auditing instruments back to places most people don't expect. Vote below, then tell us in the comments: what surprised you most about where these tools came from?
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Clief Notes
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Jake Van Clief, giving you the Cliff notes on the new AI age.
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