Copy + paste this one-shot prompt below into your agent (works best with homiesai.com) MONTHLY MARKET REPORT — full package. Use the live TRREB data API below. Ask me the three questions FIRST, then build everything. If I don't answer in my next message, go general (All TRREB Areas, mixed audience). DATA (plain GET, JSON — no auth): - https://stats.realist.ca/data/trreb/manifest.json → region slugs, measures, home types - https://stats.realist.ca/data/trreb/all.json → per region: sales, ap (avg price), mp (median), nl (new listings), al (active), snlr, moi, splp, ldom — each [[yyyymm, value], …], Jul 2011 → latest - https://stats.realist.ca/data/trreb/types.json → detached / semi-detached / att-row-townhouse / condo-townhouse / condo-apt for all-trreb-areas + city-of-toronto - Branded chart images: https://stats.realist.ca/api/chart?…&credit=[MY NAME] Compute latest month, MoM, YoY, and vs-2022-peak from the series. Never invent a number — every figure must come from the API. Cite "Source: TRREB Market Watch" under every chart. STEP 1 — ASK ME (once, then proceed): 1. Which market? (a TRREB region/municipality from the manifest — e.g. Mississauga, Durham, City of Toronto — or "GTA-wide") 2. Who's the primary reader — buyers, sellers, or investors? 3. Any home-type focus? (condos vs detached is the big divergence story right now) STEP 2 — THE REPORT (blog post, published as a shareable artifact): 900-1100 words, narrative voice, written for my chosen audience. Structure it with BIG KPI HEADLINES as the H2s — each one a computed stat written as a plain-English claim, e.g.: "Prices are down 4.5% from last year" "Homes are taking 23% longer to sell" "Condos are 18% below their peak — detached only 9%" "New listings just dropped 17.8% — here's what that does to prices"

Hi and welcome to the community! We'll help you get started on your journey to becoming a real estate agent, learn the ins and outs of the industry, and working as a realtor.

The next version of OpenClaw is also an MCP, you can use it instead of Anthropic's message channel MCP to connect to a much wider range of message providers. 🚨 **Big Step Forward for AI-Powered Realtors: Why OpenClaw + MCP Just Leveled Up Your Game** 🚨 Hey everyone in the Realtors Learning AI community! 👋 If you’ve been following along in our lessons on agentic AI, you know we started simple: using **Claude’s built-in agentic tools** (like Computer Use, Projects, or Artifacts) to automate listing descriptions, client follow-ups, market analysis, and even basic lead nurturing. That’s the perfect on-ramp. No coding required, just point-and-click power that already saves you hours every week. But here’s the exciting news that just dropped (and why it matters to every one of you): Peter Steinberger (the guy behind OpenClaw) announced that the **next version of OpenClaw is now a full MCP** — meaning you can swap out Anthropic’s limited message channel MCP and connect your AI agent to a *much wider range of messaging providers* (WhatsApp, MS Teams, Matrix, SMS, and more). In plain English: Your AI agent is no longer stuck inside one ecosystem. It can now live where your clients actually message you — right in their favorite apps. ### Why This Is a Massive Win for Realtors Learning AI 1. **The natural next step after Claude** You’ve already mastered Claude’s agentic tools. OpenClaw lets you take everything you built and make it *production-ready* — more customizable, local-first (your data stays yours), and able to run 24/7 without hitting Claude’s usage limits. 2. **Real-world real estate workflows unlocked** - Client texts you on WhatsApp at 9pm about a listing? Your OpenClaw agent replies instantly with comps, scheduling links, or even a personalized market report. - Lead comes in via Facebook Messenger or SMS? Same seamless handoff. - Team collaboration in Teams or Slack? Your AI can pull showing schedules, update CRMs, and notify everyone — all from one brain.

I've been quiet in here because I've been building. For the last few months I've been running AI automations at my brokerage. Not the "ask ChatGPT to write a listing description" kind. I'm talking: → Full CMAs generated from just an address (comps, charts, pricing, neighbourhood breakdown) → Branded social media posts created and published automatically → 300 personalized cold emails going out daily on autopilot → Listing presentations that actually win sellers → Entire OREA offer packages filled out in under 3 minutes → Leads qualified and showings booked without me touching anything → CRM pipeline report landing in my inbox every Monday morning Total staff cost for all of this? $0. Total AI cost? About $65/month. I'm not exaggerating when I say this replaced what used to take a full-time admin assistant. And it runs 24/7 without calling in sick. The wild part is none of this is theoretical. Every single one of these is running in production right now. If enough people are interested I'll do a live walkthrough in the group showing exactly how it's all wired up behind the scenes. Drop a 🔥 if you want that.

/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.