AgentCustomer supportGeneral

Every citizen request triaged in 3 minutes

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

You write“Take each citizen or community request that comes in, give me a clear summary, its category and urgency, flag what's missing, and draft a plain-language reply.”

Run it in Desktop

How it usually goes

Right now it's all manual

Requests arrive by email, messenger, and forms in different formats; you reread each one, guess the priority, and write replies from scratch while the queue grows.

What this sentence generates

One agent that does this job

It becomes a single installable agent with memory, tools, and safety labels.

Agent fileSkillsMemory notesSafety labelsShare cardInstall-ready ZIP

Example: input → output

Preview what comes out

Input

"The streetlight on Maple Ave has been out for two weeks and it's dangerous at night" — submitted via web form

Output

Category: facilities/safety · Urgency: high · Missing: exact pole number · Reply draft acknowledging the report and giving a next step.

One-line summary + categoryUrgency levelMissing-info checklistPlain-language reply draft

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

For each incoming request, returns a one-line summary, category and urgency, missing-info flags, and a plain-language reply draft.

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.