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AI agents for business Which job in your company could do itself?
I set up AI agents in companies. Pick what rides the belt and scroll: you will see what the agent does at each station.
Scroll down. Drag to look around. Click a machine to move closer, or a document to plant an error in it.
Station 01
Reads the document that came by email
The agent checks the inbox on its own, opens the attachment and pulls out what matters: amounts, dates, numbers and the other party’s details. Nobody retypes anything.
Station 02
Checks that everything matches
It compares the document with what you already have: the order, the contract or earlier emails. Every difference is marked straight away, before the document moves on.
Station 03
Enters the data where you need it
It saves everything where you already work: your accounting tool, a spreadsheet or the CRM. No copying and pasting.
Station 04
Asks you when it is not sure
Documents with no issues move on by themselves. When something raises a doubt, the agent stops the belt and waits for you to decide.
The agent is sure. Everything moves on by itself.
Your decisions: 0
Finished tasks land on the stack, and your hands are free.
The counter in the scene shows how many documents went down the line since you opened this page. Give me 20 minutes and we will find the first task worth handing to an agent.
On the stack: 0
Book a 20-minute online meeting30+ projects · 93% delivered on time · teams of 30+ people
Four things I can help you with.
- 01
Agentic SDLC: agents in your development team
Your developers still decide what ships. Agents make the first attempt: they read the ticket, write code and tests, then open a pull request that a human reviews. Less typing, the same standards.
- 02
Agents for office work
Email, documents, reports, CRM updates. The things someone does every week and nobody enjoys. I build them on Hermes, OpenClaw or Claude, or on cheaper open models like Qwen and GLM when that makes more sense.
- 03
Running projects from kick-off to launch
I’ve been taking projects from the first workshop to launch for years. I flag the risks in week one, and if something goes sideways you hear about it straight away, not a week before the deadline. 93% delivered on time.
- 04
An AI assistant for your website
It answers people at night and at weekends, in English and Polish. Once a month you get the list of questions they asked.
How working together usually starts.
- 01
A 20-minute call
You tell me what eats your team’s time. I tell you straight whether AI will help here or not.
- 02
Scope and a fixed price
I look at the process, say where to start, and give you a scope and a price that will not change.
- 03
One thing that really works
We start with one agent or one automation, check how much it saves, and only then talk about the next ones.
An assistant for your website, set up in a few days.
It knows about your company only what you tell it. It answers at any hour, and you see what people ask most often.
Start
$1,090setup + $169 / mo
An assistant trained on your website · English and Polish · Up to 500 conversations a month · Monthly report of customer questions
Pro
$2,790setup + $339 / mo
Everything in Start · Customer enquiries to email or CRM · Booking meetings in the chat · Your site prepared so ChatGPT and other AI understand it well · Quarterly check of what ChatGPT, Gemini and Claude say about you
Custom
from $8,500quoted after a call
AI agents in your processes · Agentic SDLC for your IT team · Open models (Qwen, GLM) matched to your budget · Integrations with your systems
Not sure where to start? Process audit: $890. One to two weeks. I map one process, show what is worth automating first and what it will cost, and you get a written plan with a fixed quote. If you go ahead, the $890 is deducted from the project price. Prices are net. You pay monthly and cancel whenever you want.
Deadline Run: ship it before the time runs out.
Grab tokens, jump on bugs, reach the launch pad in 90 seconds.
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Started on a C64. I still want to make things!
- C64
A trading game on the Commodore 64
I wrote it in primary school. Text only, but it worked. I still have the computer.
- LAN
A LAN for the whole housing estate
During the dot-com boom, with nobody to teach me. It ran for years without trouble.
- VFX
First a shop, then visual effects
I sold electronics, then programmed visual effects for big brands’ websites and animated ads.
- TEAM
My own software house
I ran projects and products in a company of over 30 people. Award-winning IoT apps, GITEX in Dubai, Web Summit in Lisbon.
- CLASS
Teaching at School of Form (SWPS)
I taught interface design to people who now build products themselves.
- AGENTS
Now: AI agents
Claude, Codex, OpenClaw and Hermes every day, plus open models like Qwen and GLM. Certified in Google GenAI and SDA AI Engineering.
Some numbers, because I like specifics.
- 30+projects, one of them still alive and growing after 8+ years
- 93%of projects delivered on time
- $1M+what my long projects were worth on average
- 80%of risks stopped before they did any damage
- 7.5/10how keen clients are to recommend me (NPS)
- 30+people in the teams I’ve led
I write about what I learn working with AI agents.
Questions I hear a lot.
How much does it cost to put an AI agent to work in a company?
An AI assistant (chatbot) for your website is $1,090 to set up plus $169 a month. Custom AI agents built around your processes start at $8,500, and I give an exact quote after a meeting. Not sure where to start? We begin with a process audit for $890, which I then deduct from the project price. Net prices.
Which tasks in a company can you hand to an AI agent?
Mostly the repetitive ones: reading and filing documents, answering emails and customer questions, filling in the CRM, weekly reports, and in a software team the first pass at code and tests. The agent asks a person when it is not sure, and a person approves the result.
How can we work together?
As a contractor on your project: a fixed price for a set scope, or monthly if you need ongoing help. I also join larger projects as a subcontractor for other companies and software houses.
What is agentic SDLC?
It’s a way of building software where AI agents take the first pass: analysis, code, tests, review and getting a release ready. A person checks and approves every step. The team gets more done and quality doesn’t suffer.
Which AI tools and models do you work with?
Every day: Claude and Claude Code, Codex, OpenClaw and Hermes. I also work with open models such as Qwen and GLM and fit the setup to your budget, so you don’t pay for more computing power than the task needs.
Will AI agents be expensive to run?
Not necessarily. I match the model to the job: a top model where quality matters most, a smaller open one like Qwen or GLM where it does the job for a fraction of the price.
Do you work remotely?
Yes, fully remote, with clients across Europe, the US and beyond. We meet online, and my working hours overlap with both European business hours and US East Coast mornings.
What tools and methodologies do you use?
Jira, Confluence, ClickUp, Asana, Trello, Figma, Miro, React, WordPress, Webflow and low/no‑code. Agile, Waterfall, Lean Canvas, Product Discovery, User Story Mapping and Risk Management.
What else is on your record?
Two grants won, a company that went from subcontractor to key partner, Expo Dubai, Web Summit Lisbon and a talk at InternetBeta in Rzeszów.
What are your superpowers?
I do a decent Makłowicz impression, play the drums, once fixed my car with help from an AI agent, and I cook, run and cycle.
Which job in your company could do itself?
Give me 20 minutes and we will find the first task worth handing to an agent.
