If any of you are following the news... Open AI, Anthropic and SpaceX are going public. This rush to IPO has me downright depressed... Investors want the return that they aren't getting. Companies are starting to tell their employees to stop using ai to complete tasks as token usage and API costs are going through the roof without the productivity they were sold. They'll need to cut costs in order to incentivize companies to use their models, but in order for investors to get their money costs have to go way up. Data center investment is crazy. I work for a company that supplies electrical/construction supplies and services to build them. Sparks/Reno is exploding with California investment. Original investors want to get out via actual liquidity supplied by the most unprecedented IPO we've ever seen, otherwise they'll default on years of deals. All the insiders are rushing to the doors while regular people are hoping to get a piece of the pie of these "trillion" dollar companies.. who is going to be left holding the bag if the financial institutions plan on using 401ks and pensions to fund these insane IPO's, and funding the investors ability to cash out? Are we on the precipice of the largest bubble pop in history? Sorry for the doom and gloom, I've had the most fun I've ever had building with these tools, but this forum is all things ai, right? I can't help but think our access to these platforms will change drastically very soon; and the bigger picture is much more bleak.

I developed a software product some time ago with assistance from AI and recognized an opportunity to market it to a local entertainment business. However, this will be a cold approach, as I have not previously engaged with them in a business context. The product is designed for a single use sale. Do you have any advice that might help me enhance my cold email outreach? Additionally, have you evaluated your cold emails using any publicly available AI-enabled service aligned with the principles of the Mom Test? Thank you for your input.

🎟️ PRIZE: FREE SEAT IN THE LYCEUM 🎟️ Pick your cohort. Technical, Business, or Creator. Your call. ---- 🇬🇧 We're back. Good morning from London. 👋 Thanks for the patience last week. Jake and I needed a few days to breathe before London Tech Week kicked off, and you all responded with nothing but support. We don't take that for granted. Now let's get back to building. ---- 📋 THE CHALLENGE Build a folder-based AI operator that handles ONE operational workflow end-to-end. You pick the workflow. This week's deliverable is one operator folder that someone could drop into a Claude project and use to handle a real business workflow without babysitting. ---- 🎯 PICK YOUR WORKFLOW The workflow is yours. Pick something specific. Pick something you'd actually use. A few sparks to get you thinking: - 🎫 Customer support triage (which tier handles this ticket?) - ✅ Content review and approval - 📨 Lead intake and qualification - 💸 Refund request handler - 🤝 Partnership pitch evaluator - 🎙️ Podcast guest pitch sorter - 💼 Freelance project intake - 📄 Resume screen for one specific role - 📅 Meeting request triage (book, decline, delegate) The more specific, the better. "Customer support" is too broad. "Refund request triage for an ecommerce store doing under 200 orders per month" is right. 📎 If you want a fully written client brief as a reference, the attached PDF walks through one example. Don't build the example. Use it as a template for how to think about scoping your own operator. ---- 🗂️ THE METHODOLOGY If this is your first comp, welcome. Here's what you need to know: This week (and every week) you're learning interpretable context methodology. Folders as architecture. Each file does one job well. Your operator is a folder with five things: - 📄 identity.md (who the operator is and what workflow they own) - 📐 rules.md (the decision logic: criteria, edge cases, escalation rules) - 💬 examples.md (decisions in action, including at least one edge case) - 📚 reference/ (checklists, templates, rubrics) - 📖 README.md (how to use it)

💰 $500 CASH 💰 Win this and you've covered a year of Premium with $175 left over. 📋 THE CHALLENGE Build a folder-based AI coach for a specific domain. You pick the domain. This week's deliverable is one coach folder that someone could drop into a Claude project and use as their personal coach for whatever you've built it for. 🎯 PICK YOUR DOMAIN The domain is yours. Pick something specific. Pick something you'd actually use. A few sparks to get you thinking: - 🎤 Public speaking coach for new managers giving their first big presentations - 💼 Salary negotiation coach for tech workers at Series A startups - 📞 Cold call coach for first-year SDRs in B2B software - 🎯 Interview prep coach for product manager roles - ✍️ Writing coach for one specific genre (sci-fi short stories, college essays, op-eds) - 🏋️ Fitness form coach for one movement (squat, deadlift, golf swing) - 🌍 Language learning coach for one use case (medical Spanish, business Mandarin) - ♟️ Chess coach for one specific opening or endgame pattern - ⚽ Youth athletics coach for one sport and age group The more specific, the better. "Life coach" is too broad. "Salary negotiation coach for tech workers at Series A startups" is right. 🗂️ THE METHODOLOGY If this is your first comp, welcome. Here's what you need to know: This week (and every week) you're learning the foundation of interpretable context methodology. Folders as architecture. Each file does one job well. Your coach is a folder with five things: - 📄 identity.md (who the coach is) - 📐 rules.md (how they coach) - 💬 examples.md (what good looks like) - 📚 reference/ (frameworks, drills, source material) - 📖 README.md (how to use it) Drop the folder into a Claude project. Claude becomes the coach. Reusable. Shareable. Portable. 🔥 THE ANGLE THIS WEEK A coach is NOT a knowledge base. A coach gives feedback. Pushes back. Asks better questions. Holds people accountable.

💰 $325 CASH 💰 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. 📋 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. 📎 Download the full client brief attached to this post. Short version: She doesn't want software. She wants a system 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. 🗂️ WHAT YOU'RE BUILDING Last week was one specialist. This week is a team of them. Required folders: 📍 00_orchestrator/ — The router. Where every request starts. Decides which specialist gets the job. 📍 01_lead_qualifier/ — First contact with new prospects. Captures intent, budget, timeline. 📍 02_property_research/ — Deep research on specific properties or neighborhoods. 📍 03_client_communication/ — Drafts emails, texts, follow-ups in the voice of the agent. 📍 04_transaction_coordinator/ — Handles the deal once it's live. Checklists, deadlines, document tracking. Each folder must include: - 📄 identity.md - 📐 rules.md - 💬 examples.md - 🔗 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. 🔥 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.