AgentOperationsSolo & freelance

Investor update out every month, on time

Saves about 1h a week. Set it up once and it runs on schedule.

You write“Turn my scattered notes into a monthly investor email: wins, metrics, product progress, risks, and what we need help with.”

Run it in Desktop

How it usually goes

Right now it's all manual

The update keeps slipping to month-end, you dig through Slack and Sheets for the numbers, and it goes out late, thin, and inconsistent.

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

Notes: "signed 3 new logos, MRR 18k→24k, hiring stalled, runway 9mo, need warm intros to Series A funds"

Output

A clean investor email: headline wins, MRR up 33%, an honest note on the hiring risk, and a specific ask for Series A intros.

Ready-to-send investor emailMetrics summary with month-over-month deltasRisks and asks section

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

Each month, turns your scattered notes into a ready-to-send investor email with month-over-month metrics, risks, and asks.

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.