TeamOperationsGeneral

Your team standup, written before 9am

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

You write“Every morning, summarize the last 24 hours from GitHub and Slack, flag anything stalled, and drop a clean digest in our team channel.”

Run it in Desktop

How it usually goes

Right now it's all manual

You start the day scrolling GitHub PRs and Slack threads to piece together what moved and what's stuck, then retype it all into a standup message.

What this sentence generates

Several agents that split the work

Main agentActivity collectorBlocker spotterDigest writer

Agent fileSkillsMemory notesSafety labelsShare cardInstall-ready ZIP

Example: input → output

Preview what comes out

Input

12 PRs merged, 3 open 4+ days, 40 Slack threads across 5 channels

Output

A tight digest: what shipped, what's stalled and who owns it, posted to #standup before everyone logs on.

24h activity digestStalled-item flagsSlack-ready summary

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

Runs every morning, summarizes the last 24 hours from GitHub and Slack, flags stalled items, and posts a digest.

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.