Night-ops command center for real estate execution

Your private AI operations unit, installed for you.

REALTY OS AgentOps gives real estate agents a managed agent team with memory, approvals, task queues, and human-style agent interfaces. Each agent can be typed to or spoken to, then routed through Hermes and the best available LLM for the job.

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Agent Interface Hermes Routed
Alex, REALTY OS chief of staff agent

Alex

Chief of Staff agent. Coordinates daily priorities, inbox triage, follow-up tasks, approvals, and operator handoff.

Live memory Voice ready Human review gate
Alex: Give me a lead, listing, inbox, or social task. I will turn it into the next action and route it through the right model layer.
Voice uses browser speech-to-text when supported. Production routing goes through Hermes plus ChatGPT, Kimi, Qwen, or the selected model stack.

What The Realtor Actually Gets

The offer is not a chatbot bundle. It is a managed AI operations team that creates work product, queues tasks, drafts client-facing assets, and keeps the agent moving on revenue-producing activity.

1

Less admin drag

Inbox notes, scattered ideas, open loops, and next steps become organized tasks, summaries, drafts, and operator handoffs.

2

More follow-up

Lead touches, past-client nurture, open house follow-up, and database revival get drafted and queued instead of forgotten.

3

More content output

Social posts, Google Business updates, Canva briefs, reels scripts, listing launch content, and newsletters are prepared for approval.

4

More control

Agents can work 24/7, but public posts, client messages, CRM edits, appointments, and sensitive actions stay approval-gated.

Three Starting Options

Every client starts with one managed package. Add-ons stay inside the client account after onboarding, so the public offer stays clean.

Option 1

Starter

$697/mo$1,500 setup. Includes 3 agents.
$232per agent/month
$2,197first month total
  • COO agent included
  • Email/task agent
  • Social content agent
Most Balanced

Growth

$997/mo$2,000 setup. Includes 5 agents.
$199per agent/month
$2,997first month total
  • Everything in Starter
  • Lead follow-up agent
  • Listing prep agent
Option 3

Scale

$1,297/mo$2,500 setup. Includes 7 agents.
$185per agent/month
$3,797first month total
  • Everything in Growth
  • Buyer concierge agent
  • Past client nurture agent

Positioned Against Hiring Help

This should be sold as operational leverage, not cheap software. The client is buying setup, workflow design, monitoring, and access to managed agents.

Stateside Assistant

Strong control, but usually the highest cost and hardest hiring path.

  • Limited office hours
  • Payroll and turnover risk
  • Still needs training and management

Overseas VA

Lower labor cost, but process quality depends on training and supervision.

  • Time zone handoffs
  • Quality varies by role
  • Needs written SOPs to work well

AgentOps

Managed AI agents configured around the client's bottlenecks.

  • Available around the clock
  • Reusable memory and playbooks
  • Client gets usage, not architecture ownership

A Person-Like Agent Layer

The real estate agent should not feel like they are typing into a blank chatbot. Each role gets a recognizable agent identity, memory, voice input, approval rules, and model routing.

Visible Agent Persona

Each agent has a name, face, role, voice/text interface, and clear operating lane so conversations feel like a real assistant relationship.

  • COO, Social, Leads, Listings, Buyer Concierge
  • Distinct memory and playbook per agent
  • Client sees who they are talking to

Hermes Routing Layer

Hermes acts as the command router: it decides the agent, workflow, memory, tools, approval requirement, and model path.

  • Task classification
  • Context and memory retrieval
  • Human approval before risky actions

LLM Model Stack

The answer layer can use ChatGPT, Kimi, Qwen, or another approved model depending on quality, cost, and task type.

  • Writing and reasoning models
  • Fallback model policy
  • Client-owned API account support

22-Agent Buildable Roster

The client's package unlocks 3, 5, or 7 agents at launch, then more can be added later. The roster mirrors the personal REALTY OS idea: each bottleneck becomes a named agent with a face, chat, memory, tools, and scheduled work.

Alex chief of staff agentOperations

Alex - COO

Daily priorities, handoffs, open loops, operator brief, and escalation rules.

Email task triage agentAdmin

Email & Task Triage

Inbox summaries, reply drafts, task extraction, and deadline flags.

Social media manager agentContent

Social Media Manager

Local posts, reels briefs, Canva briefs, platform variants, and approval queue items.

Lead follow up agentRevenue

Lead Follow-Up

Lead temperature, next-touch plans, follow-up drafts, and stale lead recovery.

Listing prep agentListings

Listing Prep

Seller questions, CMA narrative drafts, listing copy, and launch checklist prep.

Buyer concierge agentBuyers

Buyer Concierge

Buyer summaries, showing notes, property comparisons, and education drafts.

Past client nurture agentReferrals

Past Client / Nurture

Homeowner touches, referral prompts, anniversaries, and sphere follow-up.

Open house commander agentOpen Houses

Open House Commander

Promotion, sign-in follow-up, neighbor outreach, and post-event lead sorting.

Transaction checklist agentClosings

Transaction Checklist

Milestones, missing items, reminder drafts, and contract-to-close visibility.

Recruiting agentTeam Growth

Recruiting Agent

Recruiting outreach, candidate notes, interview prep, and follow-up tasks.

Market intel analyst agentMarket

Market Intel Analyst

Local stats, talking points, homeowner education, and compliant market angles.

CRM operator agentDatabase

CRM Operator

Tagging recommendations, pipeline notes, cleanup plans, and follow-up tasks.

Calendar appointment agentSchedule

Calendar & Appointment

Scheduling drafts, appointment prep, reminders, and calendar conflict summaries.

Canva creative director agentDesign

Canva Creative Director

Creative briefs, on-image copy, asset requests, and format variations.

Google business agentLocal SEO

Google Business Agent

Google Business posts, review replies, local updates, and visibility tasks.

Telegram dispatch agentAlerts

Telegram Dispatch

Daily briefs, urgent alerts, and mobile summaries without useless noise.

Review reputation agentReputation

Review & Reputation

Review requests, response drafts, testimonial follow-up, and reputation tasks.

Database revival agentPipeline

Database Revival

Dormant contact segmentation, revival campaigns, and warm-opportunity lists.

Listing launch agentLaunch

Listing Launch

Asset checklists, launch timelines, marketing handoffs, and missing approvals.

Buyer tour agentShowings

Buyer Tour Agent

Showing routes, feedback summaries, property comparisons, and post-tour next steps.

Offer prep agentOffer Prep

Offer Prep Agent

Offer checklists, buyer questions, fact summaries, and missing-info flags.

Compliance guard agentRisk Control

Compliance Guard

Flags risky copy, unsupported claims, fair housing concerns, and approval needs.

How They Actually Perform Work

The agent is the conversational front end. Hermes is the orchestration layer. Tools, APIs, approval queues, and scheduled jobs are what turn a reply into operational action.

Connected execution path

When the client asks for work, the agent should classify the request, pull memory, choose the workflow, draft the output, create a task or approval item, then hand off to the correct integration.

  • Chat or voice input creates a structured request.
  • Hermes chooses the agent, model, memory, tools, and approval rule.
  • The selected LLM drafts or reasons through the task.
  • The portal creates tasks, approvals, CRM notes, content briefs, or operator work.
  • Only approved actions publish, send, schedule, or update connected systems.

Cron-style proactive jobs

Scheduled jobs make the system proactive instead of waiting for the Realtor to remember what to ask.

Daily 7 AM: Alex creates the daily priorities and urgent follow-up brief.
Monday: Social agent drafts the weekly local content plan.
After open house: Open House Commander drafts lead follow-up sequences.
Monthly: Analytics agent creates the usage/value report for retention.
Past-due billing: access gate pauses agents until Stripe status is active.

Managed Setup Process

Checkout remains private. You review fit, choose the right package, configure the account, then send the Stripe checkout link from admin.

1

Fit Review

Confirm business goals, agent needs, platforms, service area, and readiness.

2

Access Intake

Collect AI, Google, Canva, Telegram, CRM, brand, and approval requirements.

3

Agent Build

Configure selected agents, memory, playbooks, approval rules, and launch tasks.

4

Go Live

Activate access after payment and setup readiness are confirmed.

Billing note: setup and first monthly subscription are collected together at checkout after approval. Access can be paused from the admin portal if payment becomes past due or cancelled.

Keep this separate, but connected.

AgentOps can be sold on its own or offered later as the Level 2 implementation path for Boot Camp graduates.

Request Setup Review

Request A Setup Review

Submit the bottlenecks you want REALTY OS AgentOps to solve. Checkout is not automatic; fit and package are reviewed first.