Listing Coordinator
Walks a new listing from intake form to MLS-ready package. Pulls public data, drafts copy for human review, and flags missing disclosures before they slow the deal down.
v0 · pilot phase · invite only
agentplain is a pre-trained AI agent fleet for small-to-mid brokerages. Seven agents handle the recurring operational work that keeps owners awake — listing intake, buyer routing, compliance, CRM hygiene, production reporting, recruiting. They run quietly, in the tools you already use.
Agents in the fleet
7
Pilot length
30 days
Verticals at v0
Realty
What agentplain does
01
Each agent is scoped to one operational job. They arrive trained on brokerage workflows, fair-housing language, and the systems brokerages actually use. No prompt engineering required from your team.
02
The fleet runs in the background. It writes back to your CRM, drafts in your inbox, and flags decisions for human review. Your agents keep using what they already use.
03
A 30-day pilot with a written report at the end. Number of leads routed, listings prepped, compliance flags surfaced, hours returned to the owner. No vanity metrics.
The fleet · v0
Walks a new listing from intake form to MLS-ready package. Pulls public data, drafts copy for human review, and flags missing disclosures before they slow the deal down.
Reads inbound inquiries from email, web forms, and CRM webhooks. Classifies intent, attaches the right context, and routes to the right agent in your office — without dropping leads on weekends.
Coordinates showings across the buyer, the buyer's agent, and the listing agent. Confirms, reschedules, and logs activity back to the CRM so nobody has to chase calendars.
Reviews customer-facing drafts and listing copy for fair-housing language, disclosure gaps, and broker-of-record requirements. Surfaces issues before they reach the consumer.
Dedupes contacts, normalizes phones and addresses, fills missing fields from public records, and keeps stale records flagged. Quietly maintains the asset most brokerages neglect.
Generates the production reports owners actually want — agent-by-agent, week over week, month over month. Variance commentary written by the agent, reviewed by you.
Researches local agents who fit your brokerage profile, drafts outbound openers, and tracks the pipeline. The recruiting work owners say they will do and rarely have time for.
v0 fleet covers the realty vertical. Insurance brokerage variants are in design partner conversations and not yet shipped.
Pilot pricing
Starter
$1,500
30-day pilot
For a single owner-operator brokerage testing the thesis.
Not included
Standard
$2,750
30-day pilot
For most brokerages we work with. Best fit for 5–15 agents.
Not included
Full Fleet
$4,500
30-day pilot
For brokerages serious about pulling owner time out of operations.
Not included
What's the same across all three tiers
Questions worth asking
A pre-trained fleet of AI agents built for small-to-mid brokerages. Seven agents handle the recurring operational work — listing intake, buyer routing, showings, compliance review, CRM hygiene, production reporting, recruiter prep — so brokerage owners stop spending nights on admin and start spending them on production and recruiting.
No. ChatGPT is a tool you have to drive. Each agentplain agent is scoped to one job, pre-loaded with brokerage-specific context, and connected to the systems where the work actually lives — your CRM, MLS exports, email inbox. They run in the background and surface things you need to decide on.
Most brokerage software adds another dashboard for someone to maintain. agentplain takes work off your plate. We don't replace your CRM or MLS — we sit on top of them and reduce the number of tabs your team has to keep open.
For the pilot: read-only access to your CRM, your shared inbox, and an export of recent listings. Nothing changes in your systems unless you approve the change. We do not need MLS write access, and we do not store contact data outside your stack longer than the pilot requires.
You decide whether to continue. The pilot is opt-in to a continuing engagement at the end — there is no auto-renew. If you keep going, the monthly rate is set per brokerage, scoped to which agents you want active, and can be paused.
Brokerage data stays in your stack. agentplain pulls what it needs to do a task, returns a result, and does not retain client lists or transaction records as training data. Liability for licensed activities — anything that requires a real estate license — stays with your brokerage and your broker of record. We do not act as a brokerage.
No. The fleet talks to you and your broker, not to the agents in your office. Your agents keep using whatever they already use. Most of what changes is invisible to them — fewer dropped leads, faster listing turnaround, cleaner CRM.
Two things, honestly. First, this is V0 — the agents are real and they work, but they are early and they will surface edge cases we have not seen. We pay attention and we ship fixes fast. Second, brokerages with deeply non-standard workflows take longer to onboard. If you run an unusual stack, we will tell you up-front whether the pilot makes sense.
The thesis, plainly
Run a 25-agent brokerage with five.
That is what we are building toward. The pilot is the first step — the fleet handles enough of the operations workload that owners stop building headcount around admin and start building it around production.