agentlas
Use cases
AgentMarketing & contentOnline shop

Stale product listings rewritten against your style guide

Saves about 2h a week. Set it up once and it runs on schedule.

You writeGo through our oldest product listings and rewrite the descriptions to match our current style guide and tone.
Run it in Desktop
How it usually goes

Right now it's all manual

Old listings sit untouched for months because rewriting them one at a time never makes it to the top of the list.

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

"Start with the 10 oldest listings."

Output

10 rewritten descriptions, each checked against the style guide, with a before/after side-by-side.

Rewritten descriptionsBefore/after comparisonStyle-guide compliance notes
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

On request, rewrites a batch of product descriptions to match your current style guide, with a before/after comparison.

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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Stale product listings rewritten against your style guide · Agentlas