Live
Listing descriptions
Agents paste their notes and the property facts into an AI tool, get a draft, and edit it into their own voice.
6 cases · 5 people1 argues against2 have a business tie
Real cases, not predictions · First industry: real estate
One person, one task, one tool, in their own words. We rewrite each case in plain words, keep the number the person states, mark it self-reported, say what they sell, and link to the video.
Read the overview reportOpen the case register
No tool reviews, no prompts to copy, no vendor case studies. Nothing is invented and nothing is verified.
Enter by task
One page per task. Each page has a summary, the cases, where it goes wrong, and the people who argue against it.
Live
Agents paste their notes and the property facts into an AI tool, get a draft, and edit it into their own voice.
6 cases · 5 people1 argues against2 have a business tie
Live
Agents give an AI tool local data (an MLS export, two neighbourhood names, or a Canva template) and get back a post, a video script or a newsletter, which they edit and publish.
4 cases · 3 people1 has a business tie
Live
Agents connect an AI assistant to their CRM (here, always Follow Up Boss) and let it read the notes, rank who to call today, and type in new contacts for them.
4 cases · 2 peopleAll 4 have a business tie
Live
Once a deal is moving, agents hand the repeat paperwork to AI: one prompt after signing turns into a closing checklist, a buyer email and calendar dates, Claude drafts an offer, and a team leader has bots sort and file email across 30–50 active deals.
4 cases · 4 people1 has a business tie
Live
Agents let Claude collect the comps and build the CMA report, then they check the comps and set the price themselves.
5 cases · 3 people4 have a business tie
Waiting: 3 sources
AI cold calling, an agent bio, an AI testimonial video and team business plans: one record each.
4 cases · 4 people1 has a business tie
How we work
Each case links to the YouTube or TikTok video where the person says it, with the time in the video.
We keep the number the person states and mark it self-reported. We do not verify it and we do not adjust it.
When the person sells a course, a kit, a paid community or a service, the label says what. 13 of 27 cases carry one.
Each screenshot names the person, the platform and the time in the video. We do not use stock photos.
Read the full method: who counts, labels, and the order of cases →
Featured cases
One case per task, with the result the person states. Results are self-reported.

Listing descriptions·ChatGPT → custom GPT
Realtor and owner, Connexa Real Estate · Harrisonburg, Virginia · two-person office
~30 min → ~2 min per description; 7 listing deliverables in minutesSelf-reported; not verified.
Shares numbersNo business tie foundYouTube2025-09-03

Lead follow-up and CRM·Own AI "Atlas" + voice dictation
Agent, RE/MAX Metropolis · residential and commercial · listings in Toronto and Barrie
15–20 s of dictation instead of ~5–10 min of typing per contactSelf-reported; not verified.
Shares numbersSells a paid communityYouTube2026-05-15

CMA and comps·Claude + HiIQ (AI calls)
Real estate agent · El Paso County, Colorado · public "zero to 100k" experiment, episode 2
11 AI calls, 0 appointments; 19 leads at $7.12 eachSelf-reported; not verified.
Shares numbersBuilt with a groupYouTube2026-04-06
Enter by tool
Tool page
Named in 13 cases by 9 people: listing descriptions, social media and local market content, lead follow-up and CRM, transaction management and CMA and comps.
Open the Claude page →
Tool page
Named in 9 cases by 7 people: listing descriptions, social media and local market content and other tasks. Custom GPTs count as ChatGPT.
Open the ChatGPT page →