Grouped by what a recruit actually weighs. The platform itself is on the common list and is not restated here; what follows is the part that is about this brokerage rather than about software.
Each capability is tagged with where the AI sits: AI-driven a model produces the output · AI-assisted a model does part of it, rules or the agent finish · AI-supported no model in the step itself, but it runs on AI-produced input, distributes AI output, or is the human gate over it · AI-developed no model at runtime — the capability itself was built with AI · Program a brokerage program or human service, not software.
- What no other brokerage is offering
- Day-one credibility
- No stack to buy, no setup week
- The brokerage carries the risk
What no other brokerage is offering
The reasons that are about this brokerage, not about software — starting with the one that builds a referral network instead of renting one.
ALEX AI Coach AI-driven
595 cited Q&A documents across 202 questions in five audience voices, heaviest exactly where new agents get stuck: inspection findings, special situations, contract, title and survey.
alex-ai-coach.web.appMethodology is published, not hidden AI-assisted
Deep Dive toggles and a real citation set — Appraisal Institute, Case-Shiller, Harvard JCHS, MIT CRE, TRERC, IAAO, NIST — so the platform teaches while it produces.
Day-one credibility
What a brand-new agent walks into an appointment with.
The same seventeen reports a twenty-year agent gets AI-supported
No CMA-building skill required on day one.
A defensible number, not an opinion AI-driven
The published accuracy grid answers “how do you know?” in the first month.
Net Sale Price as a pitch differentiator AI-developed
The new agent quotes true seller proceeds while the competitor in the driveway quotes gross sale price.
Hyperlocal answers in seconds AI-developed
Subdivision-level market answers — sound like the neighborhood expert before you are one.
Consultative tools out of the box AI-developed
Net proceeds, mortgage and amortization, investment analysis — run live, not promised as a follow-up.
Client-ready output on the first listing AI-assisted
Website, flyer, PDFs and email campaigns that look like a fiftieth listing, not a first.
No stack to buy, no setup week
The overhead a new agent normally absorbs personally.
Zero tech stack to purchase AI-developed
Site builder, flyer builder, video compression, thumbnail studio, image correction, email campaigns, content generation and publishing are included.
A website and a flyer for every listing AI-assisted
The marketing budget a new agent does not have.
Browser-only, phone included AI-developed
Every app is a URL. No installs, no license keys, no IT day.
Voice-first where the job actually happens AI-driven
Dictate notes from the car; ask the CRM a question between showings.
The brokerage carries the risk
What the platform’s guardrails mean when you are the one who is new.
Nothing goes out unattended AI-supported
Content is approved before it posts, email series are queued as drafts, and short links are minted on approval. There is no way to accidentally publish to a client or a feed.
You inherit the guardrails, not the habits AI-developed
Public Remarks reproduced verbatim, county tax data preferred over stale MLS figures, concessions deducted from every price metric, prospecting exports scrubbed before they leave. The rules are in the software, so they are not something a new agent has to learn by getting one wrong.
The compliance clock is not yours alone AI-assisted
Deadlines, signatures and the form library sit inside the transaction rather than in the memory of whoever is least experienced in the deal.
One-Drop Listing Package
Everything from the studio’s delivery. One input, one approval.
The pieces exist separately today: correct the images, size them, write the copy, build the site, build the flyer, queue the emails. The seam between them is the work, and it is the part that gets skipped late on a Tuesday.
The specified pipeline takes the folder the photographer sent, exactly as it arrived — mixed stills, HEIC, floor plans and video — and returns the processed image set cut to every size, AI copy grounded in those actual photos, the published website, the print-ready flyer, the PDFs and the four-campaign email series queued as drafts. Confirm the address, then approve. Nothing sends or publishes on its own.
For a new agent it removes the part of listing marketing that takes years to get good at. Their first listing goes out looking like their fiftieth, without a stylist, a copywriter, or an evening lost to image sizes.
- • One drop in, seven artifacts out
- • Confirm the address, approve the result
- • No renaming, no re-uploading
- • Status: specified, not yet built
ALEX Geofarm
Draw the territory. Get the households inside it, ranked by who is most likely to move.
Farming fails for a boring reason: the list is a chore. The specified tool makes drawing the shape the whole job — every parcel inside the polygon comes back from the county record with owner, tenure, stories, living area, assessed value, exemptions and estimated equity, joined to MLS history and the current ALEX valuation.
Sort and stack on years owned, value band, absentee owner, never-listed, previously expired. One canonical list per farm with saved views rather than three drifting lists — so suppression, opt-outs and de-duplication happen once. Phone and email come from a skip-trace vendor, and no export leaves without a DNC scrub.
For a new agent it answers the hardest question of year one — who do I call — with a ranked list and a one-page brief per household, instead of a rented list and a script.
- • Draw it, don’t build it
- • Ranked, not alphabetical
- • One list, three saved views
- • Status: specified, not yet built