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AI for the team · for agencies

Your whole team using AI properly, in a week.

Instead of rolling out ChatGPT or Claude: one workspace built for real estate. It learns your agency's voice and rules, answers from your own records with sources, and checks every figure.

On the call: one of your listings, run through itSet up with your team

Nothing reaches a client without an agent's approval, and the rules for client data are agreed before anyone starts.

Illustrative · sample follow-up. An agent's follow-up after a viewing. Before: “Amazing opportunity!! Best price in the building!”. TopStreet flags: “Best price” has no source; Client details in a personal account; Not in your agency's voice. After: “Following up on the 2-bed you viewed, with the full costs.” Each cost from your records, dated. “Best price” taken out: no source. Drafted in your agency's workspace. For the agent's approval · nothing sent.

A ChatGPT rollout isn't an AI strategy.

Blank accounts don't know your listings, your clients or your rules. A workspace built for real estate starts from them, and shows what each answer is based on.

What we hear
  • “Half the team already has ChatGPT, each on their own account.”

  • “I don't know what client details people are putting into it.”

  • “It's generic, and clients can tell.”

What they want instead
  • One AI the whole team uses the same way.

  • Work I'm happy to put the agency's name on.

  • Knowing where client details go.

What you get

One workspace, set up for your team.

  1. 01

    One workspace for the team

    Shared voice, rules and approvals, one usage pool, and a record of what went where.

    Instead ofA ChatGPT account per agent, each holding client details.

  2. 02

    Your records, voice and rules

    Listings, past work and how you write, loaded once, so every answer starts from your agency and shows its source.

    Instead ofPasting the same background into every chat.

  3. 03

    Three real jobs, the team trained

    The three jobs that cost your team most, tested on your own listings, then an hour's training each: use it, check it, correct it.

    Instead ofA prompt workshop nobody remembers by Friday.

  4. 04Bonus

    Client-data rules, agreed first

    What goes in, what stays in, and who approves what, written with you before anyone starts.

    Answers“I don't know what client details people are putting into it.”

ChatGPT or Claude?

Why not just roll out ChatGPT or Claude?

In ChatGPT or ClaudeIn TopStreet
Each agent signs up alone. Client details end up in personal accounts you can't see.One workspace in your agency's name, with rules, approvals and a record of what went where.
It starts blank. Each agent pastes in the listing, the client and the tone, every time.It starts from your listings, clients and voice. Nothing to paste.
It writes a confident figure, and someone has to check where it came from.Every figure shows its source and date. Anything unsupported is taken out or held.
It waits to be asked, so what gets done depends on who remembers.Follow-ups, call lists and drafts prepared each morning, ready for approval.

Keep ChatGPT or Claude for personal use. For client work, a team needs one place that knows the agency, checks the facts and records who approved what.

Worries, handled.

The worryWhat’s built inYou can count on

“Will the team actually use it?”

They use what saves them time this week, so we start with the three jobs that cost them most.

Real jobs by day 5, or we keep going free.

“I don't trust AI with our clients.”

Every figure shows its source, and anything unsupported is taken out. Client work waits for the agent who owns it.

Checked before a client sees it.

“Not another app for the team.”

It replaces the scattered AI accounts they already have, with one they share.

One place instead of several.

“It's too expensive.”

Set it against a paid AI account per agent, plus the hours spent checking what they write.

See it on your own listing first.

How it works

Set up on your records, tested on real work.

Your part: a call, an hour with your AI owner, and an hour's training for each agent.

  1. Days 1–2

    Your voice and rules, learned

    From your past listings and messages, plus the client-data rules we agree with you. Your AI owner corrects anything that isn't right.Client details stay in the workspaceYour ruleFigures to clients checked firstYour rulePlain and warm, no exclamation marksFrom your past messagesYou · 1 hour, once
  2. Days 2–3

    Your records, gathered

    Listings and past work loaded, each fact keeping its source and date, so answers start from your agency.Live listingsYour website · datedPast investor notesYour filesYou · Nothing
  3. Day 4

    Tested, every claim checked

    Three real jobs run through it. Each figure is matched to its source; anything unsupported is taken out and flagged.Follow-up after a viewingTested · your listing“Best price in the building”Taken out · no sourceYou · 1 hour
  4. Day 5

    The team trained, approvals on

    Each agent learns to use it, check it and correct it. Client work waits for the agent who owns it to approve.Three jobs in useDay 5 checkWho approves whatAgreed in writingYou · 1 hour each

Illustrative · sample records

How it starts

Set up with your team

One shared workspace and usage pool for the team, set up with you and then run on a TopStreet licence. Priced to your team on the pricing page.

See pricing →Book a call →

If the team isn't doing three real jobs in it by day 5, we keep working with them, free, until they are.

Not for agencies that want AI writing to clients without anyone reading it first.

“The team proposed solutions we hadn't considered and then delivered them on time.”
Tahir Majithia, Managing Partner · Prime Capital
From Broker Brain: questions agents askComparing tools

Get your team set up in a week.

See it on one of your own listings first. Then three real jobs, trained, by day 5.