agentlas
Use cases
TeamCustomer supportGeneral

Clear the support inbox before lunch

Saves about 6h a week. Set it up once and it runs on schedule.

You writeRead today's incoming support tickets, sort them by issue type, draft a calm reply for each, and leave an internal note about the bug behind it.
Run it in Desktop
How it usually goes

Right now it's all manual

Tickets pour in faster than you can read them; you triage by gut, reply in a hurry, and the real bug never makes it back to the dev team.

What this sentence generates

Several agents that split the work

Main agentTicket sorterReply writerBug note-taker
Agent fileSkillsMemory notesSafety labelsShare cardInstall-ready ZIP
Example: input → output

Preview what comes out

Input

"Checkout keeps failing on the last step — I tried 3 times"

Output

Billing-issue tag + a calm reply with next steps, plus an internal note: "likely payment retry bug at checkout step 3."

Tickets sorted by issue typeCalm reply draftsInternal bug notes for the dev team
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

Each day it sorts incoming tickets by issue type, drafts a calm reply for each, and leaves an internal bug note.

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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Clear the support inbox before lunch · Agentlas