Jörg Amelunxen, Software-Architekt und KI-Coach für KMU

The person behind the systems.

I'm Jörg Amelunxen. Over ten years in software engineering, with a focus on software architecture. I've been working with AI systems since before ChatGPT, now as an AI coach for values-driven brands. What I build solo today used to take a team just a few years ago.

My toolchain shifts every four weeks, and that pace has become home to me, not pressure.

Writing code matters less every year. What counts is knowing what should be built, and where a system would break in two years if the wrong cut is made today. I use AI as a tool, not as a sales pitch.

With this kind of reach, the temptation would be to build for everyone. I choose, deliberately, who I work with. With companies that have a voice. And the fear of losing it as they scale. With founders in mid-sized businesses who feel their brand growing quieter as the apparatus around it grows louder. With teams for whom AI is a tool, not a goal.

What you pay for is responsibility and architecture, not typing.

What keeps me in this work: I see people too valuable to spend their days in tickets, briefs and repetition. AI doesn't belong where it replaces humans. It belongs where it gives humans back the work they were actually here to do. That's my standard. Including in the architecture nobody ever sees.

What converges here

Five disciplines, one person.

What comes together here sits, for most providers, on five different desks. Anyone building AI for SMBs can't afford that separation anymore. The transitions between fields decide whether a system holds. That's where I work.

Architecture
Over ten years of practice across software engineering roles, from senior development to technical project lead. Structures that don't start grinding three months in.
LLM Engineering
Language models as building blocks inside production systems. MCP servers, sub-agents and agent skills as reusable architecture. With verification steps against hallucination, with clean interfaces, with decisions you can trace.
Test Discipline
Test coverage that doesn't exist for show, but for the kind of sleep you can actually take. Linting, TDD, modular architecture. Especially when no one is watching.
Brand Coherence
Voice, design and copy as part of the architecture. A brand that stays the same across every output, even when the outputs come from a system.
AI Workflow Architecture
An orchestration ecosystem of my own for daily work: specialised sub-agents, custom agent skills, MCP servers for tool integration. So that what I do doesn't depend on a single tool, but on a method that keeps tools replaceable.

Keeping these five fields in one person is the architectural decision that matters. Everything else follows from it.

My Journey

The first spark

Wrote my first program early on. That feeling of building something functional from an empty file never left me. It turned into a computer science degree specializing in software engineering. With a minor in psychology that fascinated me at least as much as the code itself: what systems do to people, and what people do to systems.

From developing to software architecture

Shaping complex systems that hold up long-term. Architecture decisions that ripple for years. Software that works is a starting point. Software that someone still touches with a clear conscience five years later is a different discipline.

AI changes the rules

When AI hit the mainstream, one thing became visible quickly: the possibilities are huge, but small businesses in particular don't have the time to get lost in them. Everyone talks about AI. Few show how it actually grips on a Tuesday morning inside an SMB.

Today: Your AI coach

That's exactly where I come in. So you don't have to figure it out alone. Whether through the Freedom Plan, coaching, or custom software: technology should free up your time for the things that truly matter.

Jörg Amelunxen lehnt lässig an einem Tisch, authentisches Porträt

How I work

Pragmatism over theory

No PowerPoint strategies, no buzzword parade. What I suggest holds up in daily reality: whether in the office, the warehouse or the inbox of a growing brand. If something won't carry, I tell you before you buy it.

Your size, your budget

I don't think in enterprise dimensions. Every recommendation factors in what's realistic for you: solo, two-person team, small crew. No tool stacks that cost more than your rent.

Honesty, even when it's uncomfortable

AI can do a lot, but not everything. If a language model would water down your brand voice, or an automation suggestion would do more harm than good, I'll say so. When in doubt, one recommendation less.

One person, one system, end to end

No project tourism, no handovers, no third vendor who's lost the thread on why something was built this way. From brand voice systems to customer service to your internal founder knowledge: one companion who understands your brand and doesn't need it explained from scratch every time.

Values before efficiency

Efficiency is a side effect, not the goal. If your brand exists from conviction, every AI decision has to carry that conviction. Otherwise you gain time and lose the reason you started.

Sound like a good fit?

Let's talk

Away from the screen

When I'm not working on architectures or building AI workflows, you'll find me outside. Preferably in the forest. No phone, no notifications. Just walking and clearing my head. That's my balance, and honestly, the best ideas happen right there.

My second passion: films. During school and university, I worked as a projectionist at a cinema, and it never let go of me since. Great stories, powerful imagery, that moment when a film makes you completely forget where you are. That still fascinates me.

Maybe it fits together better than it seems at first: technology should create the space for you to be human. For walks, for films, for the brands you buy from on purpose because there's a person behind them who actually means it.

“Technology should have your back. For your brand, your people, the places where a human has to be a human.”

10+ years of software engineeringArchitecture and AI in one person

What's been on my mind

If you want to know how I think.

"I don't know a single business that has too many people. I know plenty where the people who are there are stuck in the wrong tasks."

"AI is not the solution to having too many people. AI is the solution to having too little human in the workday."

Eight observations from working with small businesses, in which I wrote down why I think the whole AI industry is asking the wrong question. If that resonates with you, it might be the most honest way for us to get to know each other before we talk.

Why I see this differently →

My focus

Where I focus.

My circle is intentionally small. I work with solo founders, small teams and SMBs up to about 20 people, because that's where the places sit at which my work actually makes a difference. Anything beyond that is a different world with its own methods, its own structures, its own rules. Some of it is also ruled out by existing contractual ties on my side, but that's a side note, not the main reason. The main reason: this is where I belong, not over there.

What's just not my world

Classic corporate IT, ERP mega-projects, SAP landscapes, core banking systems. A discipline of its own, which others do better
Procurement processes with three-bid logic, vendor onboarding and corporate compliance
Enquiries that would already be ruled out by existing contractual ties on my side. I check those upfront and will openly let you know
Subcontracting for consultancies or staffing firms that resell hour quotas
Employee-like arrangements or body leasing into large enterprises

Where I'm at home

Solo founders and freelancers who want to seriously connect their work with AI solutions
Small teams and values-driven brands (typically up to about 20 people)
Mid-sized family businesses and founder-led brands with clear stance
Initiatives where human-to-human time is the outcome, not headcount reduction

If your enquiry belongs more to that other world, I'll say so openly and gladly point you to colleagues who fit. That's useful on both sides: you get the support that actually fits, and I stay where I can do the most.

Sounds like you?

Describe your situation. I'll tell you honestly what can come of it.