TeamOperationsSolo & freelance

A Monday operations digest instead of five open tabs

Saves about 4h a week. Set it up once and it runs on schedule.

You write“Every Monday, pull together what happened across email, calendar, and our team channel last week, flag anything that needs a decision from me, and give me one operations digest I can read in five minutes.”

Run it in Desktop

How it usually goes

Right now it's all manual

Monday starts with five tabs open — inbox, calendar, the team channel, a half-finished doc of open items — and an hour spent just figuring out what actually needs a decision this week, before any real work starts.

What this sentence generates

Several agents that split the work

Main agentInbox & channel triagerOps trackerDigest writer

Agent fileSkillsMemory notesSafety labelsShare cardInstall-ready ZIP

Example: input → output

Preview what comes out

Input

"Anything blocked in the eng channel should go at the top."

Output

A digest with 3 blocked engineering items ranked first, 2 pending customer replies, and a one-line summary of last week's spend — each with a link back to the source.

One-read operations digestDecisions-needed list, rankedOpen action items by ownerWeek-over-week changes flagged

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 Monday and turns email, calendar, and team-channel activity into one ranked digest with the decisions that actually need you.

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.