Absolute game changer. Will probably try to rip a webinar on this in the next few weeks. Let me know if you're interested

/goal Build a mature, source-backed Obsidian vault brain for the user. Primary Objective: Create a local Obsidian-compatible vault that functions as a durable context layer for LLMs and agents. The output must be a working vault folder, not merely a report. The vault must be source-backed, resumable, validated by scripts, and organized around canonical knowledge rather than raw dumps. Before doing substantive work, confirm: 1. The current working directory. 2. The intended output root directory. 3. The available source locations and connectors. 4. The connected account/workspace/organization for every external connector. If the user has not provided an output root, create the compiled vault under the current working directory: Compiled-Vaults/compiled-vault-brain-YYYY-MM-DD/ Do not write the final vault to an ambiguous location. Core Memory Architecture: The vault must distinguish between declarative memory, procedural memory, source traces, context packs, and runtime tools/connectors. Required First Phase: Orientation: Do not author the final vault immediately. First inspect available vaults, notes, documents, repos, generated examples, and connected tools. Produce: Reports/ORIENTATION-REPORT.md Include confirmed working directory, output path, source inventory, connector inventory, account/workspace verification results, initial high-signal entities, proposed ingestion plan, and blockers. Hard Checkpoint 1: After ORIENTATION-REPORT.md is created, pause and ask the user whether to proceed. Do not begin broad ingestion until the user approves. Connector Verification Gate: Before ingesting from any external connector, retrieve and document the actual connected account/workspace/organization. For each connector, record: - Connector name. - Account email or user ID if available. - Workspace, organization, tenant, or team ID if available. - Verification method. - Timestamp. - Read/write capability observed.

Free course link: https://www.skool.com/aigent/classroom/edadb55d?md=00fc28fadb834e10a2dcb5a30adab014 Most realtors are trying to scale their business with: - a CRM they barely use - notes scattered across apps - and a brain that’s overloaded with “I’ll remember that” That breaks fast. The highest-leverage thing you can build right now isn’t more lead gen. It’s a system that actually thinks with you. That’s what this free course is. The Realtor Second Brain This is the exact system I’ve been talking about in my AI presentations. I used to build this in Notion.But once you try to connect it to AI… it falls apart. Too glitchy. Too slow. Not reliable enough for real work. So I switched to Obsidian — inspired by how Andrej Karpathy builds his personal AI wiki. And it changed everything. What This Actually Does You’re not just “taking notes.” You’re building a system where: - Every deal, client, and insight is stored properly - AI can read your entire knowledge base - It connects ideas across months of work - It writes, updates, and organizes everything for you Instead of starting from zero every day…you’re compounding knowledge. What You’ll Learn (Free Course) Module 1 — Course Overview & Setup→ Get the system running in under an hour Module 2 — Vault Architecture (Real Estate Specific)→ Structure clients, deals, markets, content Module 3 — AI Writes Your Wiki (The Karpathy Layer)→ Point AI at your vault → it builds your knowledge base Module 4 — Deal Flow Automation→ Turn notes into follow-ups, offers, and actions Module 5 — Content Engine→ Turn your day-to-day work into posts, emails, videos Module 6 — AI Agent Layer (OpenClaw / Homie)→ Connect your system to automation that actually executes Module 7 — Self-Updating System (Advanced)→ New info gets categorized and linked automatically Module 8 — Health Checks + Optimization→ Keep everything clean, fast, and useful