Get every release out clean, not rejected
Saves about 3h a week. Set it up once and it runs on schedule.
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.
Several agents that split the work
Preview what comes out
v2.4: added offline mode, fixed sync bugs, redesigned onboarding.
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.
Same job, far less manual work
A person does it by hand every time — collecting, writing, and cleaning up, the same work over and over.
Per release, agents draft App Store release notes, a keyword angle, screenshot captions, and a review-risk checklist before you submit.
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.
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.