Agentic Workflow Sprint · 2–4 weeks

You have an AI demo. Let’s make it a working workflow.

In 2–4 weeks I take one real process and test whether AI can turn it into a measurable workflow — with an owner, data, Draft/Approve/Auto modes and before/after metrics.

For founders, CTOs and product teams that want real change in delivery, support, sales ops or product.

2–4wks
one real process → a measurable workflow
( 01 ) · The problem

Most companies don’t have an AI access problem.

They have a demo-to-process problem. People use ChatGPT. Teams test Copilot. The board has seen a few demos. But day-to-day work looks exactly like before.

AI only starts to matter when it changes one of four things:

01

Delivery speed

from ticket to shipped faster than the team alone

02

Process cost

the same work done cheaper, with less manual effort

03

Decision quality

better data, faster research, less guessing

04

Scale of work

a small team handling volume that used to need a department

„If it doesn’t change any of these, it’s not an implementation. It’s a demonstration.
( 02 ) · Services

One main buying decision. The rest are entry paths.

02

AI Opportunity Map

In 1–2 weeks we map your product, processes and data, then pick the AI use cases with the highest odds of real value.

  • Ranked use cases
  • Risk and data map
  • Backlog of first experiments
03

AI Development Acceleration

I set up how your team works with coding agents: from ticket, through code and review, to shipping.

  • AI development playbook
  • Repo instructions / AGENTS.md
  • Pilot on real tasks
04

Founder / CTO Advisory

Regular strategic sparring for founders, CTOs and product leaders making decisions about AI, product and technology.

  • Roadmap and architecture review
  • Tool and vendor assessment
  • Less AI hype in the backlog
( 03 ) · Proof, not slides

Practice, not theory.

25+yrs
building digital products — since 1998
startup-to-IPO / exit journeys
5products
AI products today: TasteRay, Czat.ai, Obrazki.ai, Firmy.ai, DeveloperToolkit.ai
processwheretype
Ticket → code → AI review → human mergeTasteRayagentic dev
Natural-language real estate searchMorizon · GratkaAI search
Consumer AI: chat, images, company dataWondel.aiAI products
Product & tech: from zero to IPO and exitNokaut · Morizonleadership
( 04 ) · Process

From context to decision. No theater.

01ContextI gather context on your product, team, processes, data, tools and previous AI attempts.
02ValueWe pick the places where AI can actually change speed, cost, quality or scale.
03DesignWe describe the workflow: what the human does, what AI does, where approval sits and what a good result looks like.
04PrototypeWe build the shortest working version: spec, prompt, agent, script or a pilot in your existing tools.
05DecisionWe measure the effect and decide: scale, improve, constrain or kill.
( 05 ) · Why me

An operator, not a tourist.

Michał Jaskólski
Michał Jaskólski
Founder / CTO / product leader

I’ve been building digital products since 1998. I co-created Nokaut and Morizon/Gratka — leading product and technology in companies that went from startup to public market and exit.

Today I build AI products and use agents in my daily workflow: an agent takes a ticket, writes code, another model reviews it, a human approves the decision. This is not a futuristic deck. It’s a way of working that already works.

„I don’t advise as an observer. I advise as someone who builds.
( 06 ) · FAQ

Before you write.

Is this AI training?

No. I can train your team if needed, but the goal isn’t tool knowledge. The goal is changing a specific process, product or way of working.

Do you build finished solutions?

Depends on scope. Most often I deliver a prototype, a workflow spec, a playbook and an implementation recommendation. On bigger projects I can join as an advisor/operator working with your team.

Can an AI agent run autonomously?

Sometimes, but not immediately and not everywhere. First we define the boundaries: Draft, Approve or Auto. The bigger the blast radius, the more control, logs and human approval.

Do you work with corporations?

Yes — if the project has an owner, a clear problem and room for a fast test. I’m a poor fit for a six-month slide process with no decision.

Where do we start?

Usually with an AI Opportunity Map or an Agentic Workflow Sprint. The first gives you a decision, the second a working prototype.

( 07 ) · Contact

You already have the AI demo. Now you need the workflow.

Let’s book 30 minutes and see if it’s worth turning into a real workflow.