agentlas
Use cases
TeamCustomer supportClass & studio

Every class inquiry answered the same day

Saves about 3h a week. Set it up once and it runs on schedule.

You writeAnswer every new inquiry about our classes — pricing, schedule, and trial options — in our tone, and flag anything you think I should personally reply to.
Run it in Desktop
How it usually goes

Right now it's all manual

Inquiries pile up across KakaoTalk and Naver while you're mid-class, and by the time you get to reply, the person has already booked somewhere else.

What this sentence generates

Several agents that split the work

Main agentInquiry triagerReply drafter
Agent fileSkillsMemory notesSafety labelsShare cardInstall-ready ZIP
Example: input → output

Preview what comes out

Input

"Do you have evening classes for beginners?"

Output

A reply confirming the evening beginner slot and price, with your current trial-class offer included.

Drafted replies in your tonePricing and schedule answered consistentlyFlagged edge cases for you
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

Drafts a same-day reply to every new class inquiry using your pricing and schedule, and flags anything unusual for you to handle.

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.

Run it in Desktop
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Every class inquiry answered the same day · Agentlas