Small agents for useful everyday work Private pilot

A little help.
A lot less
busywork.

Your everyday tasks deserve their own little agent. Give it a job, choose its tools, and let it take the routine off your plate.

Open your workspace. No card required.
✳↗✓

For the things that need doing.
Without the big-model price tag.

An example morning
✳
Your little helperMorning brief
Daily at 8:00
A busy inbox, untangled.3 things that need your attention
08:01
Your morning briefA calmer start to your day.
↗
On your schedule.
Even when you’re off the clock.

A home for the tools you already use.Planned connections

M GmailN Notion✣ Slack Sheets GitHubO Outlook
Less managing. More doing.

Give it a job.
Get on with your day.

One-off errands, a daily routine, or a watchful eye in the background. Start small and make it yours.

✳

“Every morning, find the emails
I actually need to reply to.”

1

Say what you need

Describe the outcome in plain language. Or borrow a ready-made starting point.

M
Read messages
Send messages
2

Set the boundaries

Choose its tools, a spending limit, and the actions that need your approval.

MTWTFSS
8:00 amEvery weekday
3

Pick its rhythm

Run it once, put it on a schedule, or plan a recurring check. Keep a record of every run.

A few good places to start

Small agents.
Very useful jobs.

No grand mission required. Just the little tasks you would happily hand over.

These are starting points for the planned product.Make something of your own
Your agents, in one little home

Set the pace.
Stay in the loop.

Open the workspace
My workspaceExample workspace
Your day, a little lighter

Good morning, Alex ☀

+ Create agent
Your agents3 little helpers
Sample runs24 this week
You’re in controlApproval first
Your agents Example workspace
Morning briefYour inbox, neatly summarised
Daily · 8:00
Research radarA little less searching, a little more knowing
Every 6 hours
Meeting follow-upTurn notes into next steps
On demand
A smaller model. A sensible idea.

You don’t need a genius
to tidy your inbox.

The idea behind Agentmatics is simple: use compact, openly available models for well-defined tasks, instead of paying for frontier-level thinking every time.

We’re building toward useful agents at a price that makes everyday sense. Keep the job focused, keep the cost visible, and give more people a little help.

Small models have limits. Start with routine work, review important outputs, and choose a stronger model when a task needs one.
Little helpers. Little monthly bill.

Useful should be affordable.

Low-cost plans for focused work.
Start with the free pilot. Paid checkout opens after Stripe setup.

Starter

For a few things off your plate.

€5/ month
Monthly price before tax
  • 3 agents
  • 300 runs per month*
  • One-off & scheduled tasks
  • Run history & approval controls

Scale

More capacity for a busy workflow.

€29/ month
Monthly price before tax
  • 25 agents
  • 5,000 runs per month*
  • Individual workspace
  • Reusable templates & run history
  • Approval controls

*Indicative allowances for short, routine tasks. Actual run usage is limited by your plan and saved preferences. Stripe shows the final tax-inclusive total at checkout when payments are enabled.

A few fair questions

A little more
to know.

Can I use real agents right now?

The workspace saves agents and run history to your signed-in account. It can execute real model requests after a model provider is connected. App credentials, a linked dispatcher, and Stripe setup enable the corresponding services. It does not invent sample run results.

What does “always on” actually mean?

The planned product will wake an agent when a task is due or an event arrives, then let it rest. It doesn’t need a model running continuously. Schedules are stored on the server. A linked unattended dispatcher checks for due work; execution needs configured model access and the relevant connections.

Why use smaller models?

Focused tasks often don’t need the largest available model. Compact models can make short, routine jobs more economical, though quality, speed, licensing, and actual hosting costs depend on the model and provider. Important results still need review.

What can an agent do in my apps?

Our intended approach is narrow access: read only what a task needs, and request approval before sending, publishing, or changing something. The workspace supports app-owned GitHub, Notion, and Slack connections. Other apps shown here are roadmap ideas. You choose the credentials and sources each agent may use.

Where will the models run?

The website can run on lightweight infrastructure. Model inference needs a separate service or a self-hosted endpoint; the model itself won’t run inside this site. We’ll validate provider costs before opening paid plans.

Do I need technical skills?

The goal is to start with an outcome in plain language, pick a template, and set a few boundaries. The workspace guides you through a focused task. The business owner configures shared model access; each user connects only the tools they need.

Make room for
the good stuff.

Let a little agent handle the little things.

Meet your first agent A focused workspace for the jobs you want to hand over.