By Saga Lindqvist, CMO at Stomme AI
You've heard the term "AI agent" everywhere this year. It sounds technical, vaguely threatening, and impossible to pin down. Every company from Google to a three-person startup claims to have one.
Here's what it actually means — no jargon, no hype.
The simplest explanation
An AI agent is software that does work for you without you watching.
Not "answers questions when you type them." Not "generates text when you press a button." An AI agent takes a goal, figures out the steps, and executes them. Independently. While you do something else.
Think of it this way: ChatGPT is a very smart conversation partner. You ask, it answers. An AI agent is a very smart employee. You assign, it delivers.
What does an AI agent actually do?
Here's what a typical personal AI agent handles in a day:
Morning (before you wake up):
- Triages your email — categorises everything, responds to routine messages, flags what needs your attention
- Reviews your calendar — resolves conflicts, sends confirmations, blocks prep time before important meetings
- Compiles a morning briefing — your top priorities, what happened overnight, what needs you today
Throughout the day:
- Researches topics you assign — finds information, compiles reports, summarises sources
- Drafts documents, proposals, and emails from your notes
- Manages files — organises, finds, renames
- Handles recurring tasks — weekly reports, client check-ins, status updates
Evening:
- Summarises what was completed
- Queues up tomorrow's priorities
- Runs any overnight tasks you've assigned
The key difference: you don't sit at a screen typing prompts for each of these. You say "handle my email" once, and it does — every day, every night, without being asked again.
How is this different from ChatGPT?
This is the question everyone asks. Here's the honest answer:
| ChatGPT | An AI Agent | |
|---|---|---|
| When it works | When you open the tab | 24/7 |
| What it knows | What you paste in | Your email, calendar, files, preferences |
| What it does | Generates text | Sends emails, creates files, manages calendar, researches |
| Where your data goes | Their servers | Your machine (with Stomme AI) |
| When they go down | You stop | Your agent keeps running |
ChatGPT is a tool. An AI agent is infrastructure.
Do I need to be technical?
No. Setting up a Stomme AI agent takes about 45 minutes. We do most of it — you tell us your tools, preferences, and working style, and we configure the agent to match. No coding. No prompt engineering. No technical knowledge.
After setup, you communicate with your agent through messaging apps you already use — Telegram, WhatsApp. You type in plain language: "Research Nordic fintech companies and give me a comparison table." Your agent figures out the rest.
Is this safe?
This is the right question to ask. Here's how we handle it:
Every action has a policy. Your agent can't install software, delete important files, or access services you haven't explicitly approved. You control the scope.
Everything is logged. Every action your agent takes is recorded. You can inspect what it did, when, and why.
Sensitive actions require approval. Your agent will ask before doing anything outside its normal scope. You stay in control.
Your data stays on your Mac. Your agent's workspace, files, memory, and conversation history live on your machine. AI reasoning uses cloud APIs (Anthropic's Claude), but your accumulated data stays local.
What does it cost?
Stomme AI starts at €45.99/month for a Personal agent. That's one agent that handles your email, calendar, research, and admin — 24/7.
For perspective: a virtual assistant costs €15-30/hour. At 10 hours/week, that's €600-1,200/month. Your AI agent costs less than a single hour of human assistance — and works all day, every day.
Founding rate: €22.49/month (50% off your first month, limited to first 10 customers).
Is this the future?
It's the present. AI agents are running right now — managing email, researching markets, deploying code, coordinating projects. Not in a research lab. On people's Macs, during their workday.
The question isn't whether AI agents will become normal. It's whether you start now — while the tools are new and the advantages are largest — or later, when everyone else already has one.