TeamSalesAgency

Every listing ready to post in 10 minutes

Saves about 5h a week. Set it up once and it runs on schedule.

You write“Take my notes on this property and write the listing copy, the questions buyers will likely ask, follow-up messages to send after a viewing, and a checklist of details I still need to confirm.”

Run it in Desktop

How it usually goes

Right now it's all manual

Every new listing means writing the copy from scratch, scrambling for answers when buyers start asking, and forgetting to follow up after a viewing — so warm leads quietly go cold.

What this sentence generates

Several agents that split the work

Main agentListing copywriterBuyer follow-up writer

Agent fileSkillsMemory notesSafety labelsShare cardInstall-ready ZIP

Example: input → output

Preview what comes out

Input

"3-bed, south-facing, near the new subway line, owner relocating and wants a quick close"

Output

Polished listing copy that plays up the light and the transit, a ready Q&A on the closing timeline, and a warm follow-up message to send that same evening.

Listing descriptionLikely buyer Q&APost-viewing follow-up messagesMissing-details checklist

Manual vs the agent

Same job, far less manual work

Now (manual)

A person does it by hand every time — collecting, writing, and cleaning up, the same work over and over.

With the agent

Per listing, agents write the listing copy, likely buyer Q&A, post-viewing follow-ups, and a missing-details checklist in about 10 minutes.

How it works

Four steps

Describe the job in one sentence; we only ask for the missing details.

Review the generated agent, its files, permissions, and safety labels before any run.

Download the ZIP or import to Desktop and try it once on your own AI account.

Let it repeat as weekly work while Desktop is open.

Safety

Inspect everything before it runs

Before publish or install, a security scan checks secrets, unsafe code, and over-broad permissions. You can see what the agent accesses, and important actions wait for human review. Agentlas does not host or proxy models — it runs on your account and keys.