PrototypeDraft / review only

StackPilot Realtor Hub / Appointment prep desk

Walk into buyer and seller meetings with the next hour already organized.

A preparation desk that turns approved notes, public/source-safe checklists, and past questions into a meeting agenda, proof packet, objection prep, and post-meeting follow-up drafts. AI prepares the brief. The Realtor approves facts, claims, recommendations, language, and every client-facing action.

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Product wedge

The appointment is where scattered relationship data either becomes trust — or gets wasted.

Generic CRMs store notes. The Prep Desk turns reviewed notes into a practical meeting room: what to ask, what to explain, which proof to bring, what not to claim, and what follow-up draft should be ready after the appointment.

Job 01

Build the meeting agenda from approved notes.

Buyer, seller, listing, and open-house consults each get a plain-English plan with stop points for facts and compliance.

Job 02

Package proof without overclaiming.

Assemble checklists, process snapshots, local expertise, and service examples while blocking unverifiable rankings, pricing promises, and private details.

Job 03

Prepare follow-up before the agent leaves.

Create post-meeting recap drafts, next-step checklists, and CRM update suggestions — all held for human review.

Capture

Approved notes, appointment type, concerns, timeline, and allowed public/source materials.

Agenda

One-page meeting order: opening, questions, proof, decision points, next steps.

Proof

Bring only reviewed materials: process, FAQs, checklists, examples, resource categories.

Objections

Prepare helpful explanations; block legal, pricing, lending, fair-housing, and guarantee language.

Follow-up

Draft recap and tasks. Human decides what to send, update, schedule, or promise.

Interactive prep lab

Pick the appointment type.

The output is a local preparation packet. It does not contact a lead, update a CRM, touch MLS, make pricing claims, or send a message.

Default appointment agenda

One hour, no chaos.

00–05Set the purpose, confirm timing, explain what the meeting will and will not decide.
05–20Listen first: motivation, constraints, decision process, timeline, concerns, and success definition.
20–35Review the process map and proof packet. Use verified facts only.
35–47Answer objections with approved explanations and clear “I will verify that” stop points.
47–55Name the next step, missing information, and who owns each task.
55–60Confirm permission to follow up. Draft recap later; human approves before sending.

Proof packet model

What the agent brings to the table.

Keep the packet evidence-led and reviewed. If the proof cannot be verified, it becomes a question to answer later — not a live claim.

Buyer packet

Decision map + next-step checklist

  • Needs/timeline summary from approved notes
  • Plain-English buying-process map
  • Financing/lender question list, not advice
  • Showing feedback template
  • Post-meeting recap draft
Seller packet

Prep map + risk-safe question list

  • Seller goals and constraints summary
  • Listing-prep checklist with disclosure stop points
  • Pricing/market fact-check placeholder
  • Photo/staging preparation prompts
  • Follow-up task list for missing facts
Listing prep

Room-by-room prep desk

  • Repairs to ask about, not diagnose
  • Document/photo checklist
  • Vendor/resource categories for review
  • Claims to avoid until verified
  • CRM next-task suggestions
Open house

Visitor-to-next-action brief

  • Visitor questions and consent notes
  • Draft reply options by interest level
  • Neighborhood/local-info safety gate
  • Human-approved next task
  • Content idea from repeated question

Downloadable local artifact

Appointment Prep Desk worksheet pack.

Blank templates, printable HTML, and one fictional filled sample. All local, educational, draft-only, and human-approved.

Safety manifesto

AI prepares the appointment. The Realtor owns the representation, advice, and relationship.

AI may prepare

Summarize approved notes, draft agendas, create question lists, organize proof packets, prepare objection notes, draft recaps, and suggest local review tasks.

Human must approve

Facts, claims, pricing/market language, legal/compliance-sensitive wording, agency/representation statements, recommendations, sends, CRM/MLS updates, scheduling, and every external action.