Every card links to a public post where a practitioner describes the workflow, names the tools, and comes with a suggested prompt you can copy in five minutes.
Southern California team lead Robert Cedeno told The Broke Agent that 30 home tour voiceovers used to take him more than an hour and now take 6 to 7 minutes, using Meta's Muse agent to write scripts and ElevenLabs to produce audio in a digital copy of his voice for 10 Instagram posts a day.
In a LabCoat Agents walkthrough, JT showed an AI tool reading an accepted contract, counteroffer, and addenda; the AI flagged two different closing dates, blank fields, and a missing document, then added TC-verified deadlines to the calendar with 24-hour reminders and looked up the parties across Google Contacts, Gmail, and the CRM.
William Zhang uses a Claude-built net sheet calculator at listing appointments to compare scenarios with sellers live, such as listing at $500,000 and selling in a month versus $520,000 and selling in three months.
William Zhang says his Claude SEO assistant writes blog posts and pages targeting new-construction buyers looking for builder incentives, and a stranger texted him after Google's AI linked to his site, a client he estimates was worth about $10,000 in commission.
Ryan Fitzgerald, owner of Raleigh Realty, told REALTOR® News that when an agent asked about reporting, he described the problem to Claude Cowork, had an internal deal-tracking and reporting dashboard in under an hour, and sent the dashboard to the whole team; he estimates Claude saves him 20 hours a week.
Camila Castillo of the Ben Moss Group in Coral Gables told REALTOR® News that she had Claude Cowork list properties bought seven or more years ago, then check the county property appraiser site to see whether each owner's mailing address matched the property address, a task she says would normally take weeks.
Camila Castillo of the Ben Moss Group told REALTOR® News that each MLS property description used to take her 45 minutes or more; now Claude Cowork writes the description after she supplies the address, the executed listing agreement, and the last MLS tax roll.
Texas broker-owner Eric Bramlett of Bramlett Partners told REALTOR® News that with Claude Opus and five developers he built a brokerage management platform in about 100 hours over three months, with one dashboard of 17 AI agents that each handle a task such as monitoring emails or phone calls or checking compliance.
Marcus Rush, founder of the eight-agent brokerage Rush Home, built an AI operations assistant named Russ with Claude and Zapier MCP that rescores leads across more than 11,000 contacts after each interaction and sends every agent a personalized morning briefing with priority leads and suggested follow-up approaches.
PLOT Daily's Jake Heller and Quinn Edwards ran six CRE workflows through Claude Cowork in just over 20 minutes, including mapping an offering memorandum into their underwriting model, abstracting a 50-page lease against an estoppel, and producing a quarterly investor report PDF, then saved lease abstraction and deal screening as reusable skills.
Houston team lead Katie Day, who grew the Houston Unlocked account to 46,500 followers, told The Broke Agent that she uses ChatGPT and Claude to research local news and draft scripts, while keeping story selection manual and reading each original source herself.
STR Sisterhood podcast host Stacey St. John, who runs a portfolio of dozens of properties, describes giving AI the facts of what actually happened and asking for a calm, unemotional reply that quietly corrects the record, because the review response is written for the next guest reading the review.
Stacey St. John describes handing monthly rental data to AI so the review comes back as two or three specific revenue moves instead of a wall of numbers, one of seven AI workflows she uses across her short-term rental portfolio.
Solo GP Jeremy Apfel, with about $500 million of industrial, office, and multifamily assets, built the underwriting platform Reversion Technologies largely himself with Claude, feeding the model graduate-level real estate material plus years of historical model inputs and outputs to build a deterministic cash flow engine over several thousand hours.
Austin agent William Zhang asked his Claude Cowork executive assistant to find every contract for a Georgetown, Texas deal in his inbox, read the PDFs, and write the third-party financing deadline and closing date to his Google Calendar, with write actions set to need approval.
William Zhang runs "catch me up" on a Claude Cowork executive assistant connected to Gmail and Google Calendar; the briefing surfaced showing feedback he owed, a buyer agreement still waiting on a signature, and builder marketing emails he could ignore, and he schedules 8 a.m. reply drafts and an 8 p.m. day wrap-up.
In Agent Intelligence issue #71, Matt Spangler reports that a weekly sphere check was the top request from 58 agents in his Claude class, then walks through a Cowork task that finds ten past clients not contacted in six months, drafts notes in the agent's voice, and flags birthdays and home anniversaries every Monday at 6 a.m.
An n8n template from the creator Hassan qualifies incoming seller leads and generates a CMA-lite valuation report from the seller's property details using Gemini, with lead records kept in HubSpot.
An n8n template by Oneclick AI Squad takes property details and room photos, retrieves comparables, and has Claude produce a listing title, description, key selling points, and a suggested price.
PLOT Daily shows how to build a commercial listing portal in as little as 30 minutes where AI reads the broker's emails, call notes, and CRM and drafts the client update with current offers, buyer activity, marketing metrics, data room activity, and deal milestones, and the broker reviews before publishing.
MBC Group built a two-agent system for bilingual Tampa agent Yunior Estevez Rodriguez: a monitor agent checks rankings, site health, reviews, listings, and leads each morning, and a campaign manager agent writes three 1,200-word articles a week, renders an illustration, publishes, posts a bilingual Google Business Profile update, and sends monthly reports with compliance guardrails.
A former eXp Realty agent writing the AI for Real Estate newsletter built a free eXp Agent Onboarding Coach skill that turns an AI assistant into a staged first-week plan covering which eXp tools to log into first, which training to watch, what to verify with the broker, and what to prepare before a first transaction.
PLOT Daily built a scheduled Claude routine that checks the inbox, CRM, and call notes every Monday at 7 a.m., with a 12-month lookback on the first run, extracts every rent comp mention, and logs each comp to a spreadsheet, running the recurring job on the cheaper Sonnet model.
Ben Michel of Ridgeview Property Group spent half a day teaching Claude Cowork his underwriting spreadsheet cell by cell, saved the session as a Skill, and now gets a model populated in about 5 minutes instead of paying a freelancer $100 per property and waiting 3-4 days.
Los Angeles multifamily broker Taylor Avakian of The Group CRE built a live broker opinion of value web page with Claude Code where an owner adjusts rent growth, NOI, and cap rate and watches the valuation change, and connected his HubSpot CRM to Claude and ChatGPT through MCP to query his own pipeline.
San Antonio agent and coach Emily Terrell shares the ChatGPT prompt structure she runs in her own business (role, context, real data, voice rules, and one task per prompt) for MLS descriptions, social captions, and follow-up emails, with a fact-check and fair housing review before publishing.
Las Vegas brokerage Scofield Group launched SG Basecamp, an in-house platform combining a LearnDash learning management system, a five-day orientation with the managing broker, an AI-powered policy assistant, and integrations with Follow Up Boss, Zillow, Ylopo, SISU, and Dotloop to get new agents producing in week one.
Adventures in CRE built an AI Skill for its Short-Term Rental Acquisition Model that teaches Claude, ChatGPT, or Gemini every input cell; the Skill asks whether the user is an STR buyer, an LP, or a lender and leads with the matching metrics, such as minimum DSCR for lenders because seasonal revenue can hide weak months.
Milos Vranes published an n8n workflow where an intake form sends each inquiry to Claude for a strict JSON score, summary, timeline band, and financing readiness, then routes ready leads to a Gmail alert and an "Active Leads" tab and early-stage leads to a "Nurture Leads" tab.
eXp Realty agent Al Pinder of The Prosperity Agent describes five scheduled Claude Code agents, including a market intelligence agent that flags likely listing opportunities, a lead enrichment agent that adds public profile data to raw leads, and a content creator agent that drafts market updates and email sequences from the market findings.
San Antonio agent Emily Terrell describes feeding transaction details into Claude to draft lender check-ins, inspection-resolution updates to buyers, and pre-closing summaries to the title company, after a TC platform such as ListedKit or Nekst extracts the contract dates, with the agent reading every draft before sending.
Kim Doyal documents building a full direct-booking site for a friend's beachfront condo in Potrero, Costa Rica with AI only, including property pages, a local-area guide, and an AI concierge chatbot named Tito, drawing on two years of living in the area.
Compass team lead Irina Norrell in the Washington, D.C. area told HousingWire she used AI to build a hyperlocal buyer and seller education website and relies on Claude for coding, SEO, and calculators, while reviewing every Claude output before publishing.
Agent Intelligence issue #49 combines the Flexmls MCP server with Claude Memory so an agent saves each buyer's criteria once, then asks "what's new for [buyer]" to get new actives from the last seven days ranked by fit, with the top three explained.
Matt Spangler's Agent Intelligence newsletter lays out a Sunday-night workflow where Claude reads a photo of a handwritten open house sign-in sheet, pulls features from the listing URL, and drafts a 90-110 word follow-up email for each visitor for approval before any CRM logging.
An n8n template by Maxim Dudnik catches inquiries from Zillow, Realtor.com, IDX forms, or Facebook Lead Ads by webhook, creates the contact in Aloware with the listing details, sends an SMS that names the exact listing, and enrolls the buyer in an AI call-and-text qualification sequence.
J. Massey of CashflowDiary, in real estate 18-plus years and focused on short-term rentals since 2016, describes a Claude Managed Agents workflow that creates the cleaning task with unit, checkout and next check-in times, linen count, and last-guest notes whenever a reservation lands or changes, without messaging the cleaner directly until the operator has run the agent for a month.
Dustin Brohm of Massive Agent ran the same prompts through Claude and ChatGPT on four weekly agent tasks and reported that Claude produced the stronger listing descriptions, video scripts, and branded CMA pieces, while ChatGPT clearly won on image generation.
Ed Neuhaus of Neuhaus Realty Group in the Austin area describes a seller outreach agent that detects expired and withdrawn listings in his target zip codes, enriches owner data, scores motivation, creates CRM contacts, and launches personalized email sequences before the workday starts.
Compass buyer's agent Therese DiRenzo on Long Island uploaded an inspection report to Claude, extracted every electrical and plumbing issue with cost estimates, had an electrician and plumber verify the numbers on site, then had Claude format the agreed repairs as a rider to the purchase contract for her buyers.
Agent Jason Cassity walked The Broke Agent through using Google NotebookLM to build a hyperlocal buyer guide for an area like San Diego from web sources, then turning the guide into lead magnets, visuals, and a two-host podcast audio file.
Austin agent William Zhang describes a Claude Code setup that turns Follow Up Boss activity into a morning briefing and CRM follow-up drafts, one of seven daily Claude jobs in a solo practice that closed 16 deals the prior year.
Agent Intelligence issue #35 shows agents how to hand Claude an existing listing presentation template plus CMA data and get a finished PDF with bio, comps, neighborhood data, pricing strategy, and marketing plan, kicking off the job from a phone through Claude Dispatch.
Austin agent William Zhang reports that after 100-plus hours building an AI clone content system, videos voiced and presented by his AI clone produced 6-7 direct leads, a $500,000 offer, and a listing appointment.
New York agent Todd Vitolo exported 12 months of Compass sales data and used Claude Cowork to build an interactive dashboard of 491 Tribeca transactions with monthly price trends, days on market, building-level breakdowns, and a heat map, as featured in Agent Intelligence issue #29.
Solo agent Sandra Noy, who handles four to six properties a month without an assistant, describes in a Pedra case study how she moved her listing photo editing (sky replacement, clutter removal, and room staging) from Photoshop and Canva to an AI editing tool.
Inman reports that Rechat vice president Audie Chamberlain uses ChatGPT's desktop recording feature at conferences and leadership events to produce transcripts and summarized notes with action items, and that agents inside Rechat can record listing appointments to generate follow-up emails, summaries, and CRM tasks.
JBGoodwin REALTORS, a Texas brokerage with more than 900 agents, used Zapier workflows and Zapier Agents to parse Indeed applications, create HubSpot contacts, and enrich applicant profiles, and reported a 37% increase in recruiting and a 20-25% reduction in recruiter manual work.
Airbnb owner Akshay Bajaj, who held a full-time job, built an AI bot named Alfred to handle guest communication after virtual assistants quit, monitored the bot's replies, reported faster responses and higher reviews, and later expanded the idea into the HostEasy platform.
New York City broker Randy Baruh told Business Insider that he uses the free version of ChatGPT to draft property listing descriptions, a task that used to take him hours per listing because each description needs amenities, location details, and search-engine optimization.
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