agentlas
Use cases
TeamMarketing & contentGeneral

Get every release out clean, not rejected

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

You writeFor our next app build, draft the App Store release notes, a keyword angle, screenshot caption ideas, and a review-risk checklist.
Run it in Desktop
How it usually goes

Right now it's all manual

Every release you scramble to rewrite the same notes, guess at keywords, and only catch a rejection risk after you've already hit submit.

What this sentence generates

Several agents that split the work

Main agentRelease notes writerASO keyword strategistReview-risk checker
Agent fileSkillsMemory notesSafety labelsShare cardInstall-ready ZIP
Example: input → output

Preview what comes out

Input

v2.4: added offline mode, fixed sync bugs, redesigned onboarding.

Output

Benefit-led release notes, a keyword angle around "offline," caption ideas for the new onboarding shots, and a flag on the bug-fix wording reviewers tend to reject.

Release notes draftKeyword angleScreenshot caption ideasReview-risk 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 release, agents draft App Store release notes, a keyword angle, screenshot captions, and a review-risk checklist before you submit.

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
Related use cases

These automate too

Get every release out clean, not rejected · Agentlas