Practical, fixed-scope AI help for dev teams — from agentic coding to private local AI.
Chat with the advisor or run the quick picker — it diagnoses what your team actually needs and points you to the right service, with a live estimate. No sign-up, no sales call.
Hi — I'm here to help you figure out the smartest way to get more out of AI for your dev team, and point you to the right next step. No jargon, no hard sell. To start: what's prompting you to look at this — a specific problem you want AI to help with, or more of a "we should be using this better" feeling?
You can't open a news source without someone declaring AI either the future of everything or the downfall of humanity. The media has made a complete mess of understanding what AI actually is and what it can practically do for teams.
Meanwhile, actual teams are trying to figure out how to use these tools without wasting money on expensive subscriptions, compromising their data security, or getting caught in vendor lock-in.
Clear understanding
What these tools are, what they aren't, and where they fit in your workflow
Practical implementation
How to set up models that work for your specific needs and constraints
Cost-effective approaches
Options that don't require enterprise licensing or expensive cloud credits
Data sovereignty awareness
Understanding when local models make sense versus when cloud options are appropriate
I don't push the latest marketing hype. I focus on models that are practical, economical, and can be deployed in ways that make sense for your team.
Run models on your own infrastructure. This approach gives you complete control over your data and eliminates ongoing API costs.
When appropriate, cloud options provide access to more powerful models without the need for specialized hardware investment.
The right choice depends on your specific requirements, regulatory environment, and budget. I help you understand both options and make an informed decision that aligns with your constraints.
LM Studio has become my primary tool for working with local models. It provides a straightforward interface for downloading, managing, and running a wide variety of open-source models without requiring extensive ML expertise.
More importantly, I'm an advocate for the Model Context Protocol (MCP) - a standard that enables AI assistants to connect with external tools, APIs, and data sources in a structured way. This moves beyond simple chat interfaces and enables actual workflow automation.
I've built and open-sourced an MCP Document Processor that helps AI agents work with document formats more effectively. It extracts text, recognizes structure, pulls metadata, and can create documents with styling options.
View the source codePractical implementation
I use these tools daily. I'm not reciting documentation - I'm showing you what actually works.
Custom integrations
Understanding MCP means I can help you connect AI to your existing tools and workflows.
Local-first approach
I can show you how to achieve significant value without sending your data to third-party services.
Real experience
I've built tools, debugged issues, and found workarounds. That's different from reading a blog post.
There's a narrative that AI will replace developers or make teams obsolete. I take a different view. AI is a tool that, when used properly, augments human capability.
Use AI to clarify your thoughts, structure arguments, and communicate more effectively. Your expertise remains - the tool helps you express it better.
Focus AI on specific outcomes. Define the problem clearly, use the tool to explore solutions, and apply your judgment to select the best path.
AI generates options. You decide. Understanding the tool's limitations keeps you in control and prevents blind reliance on outputs.
When I use AI, I'm not having it write my code or compose my emails. That's lazy and produces mediocre results. Instead, I use it to:
The output always passes through my judgment. I understand what it's doing, why it's doing it, and whether it makes sense for my specific context.
Are skeptical but curious
You've heard the hype and you're not buying it, but you suspect there might be something useful underneath.
Value data privacy
You work in industries or environments where sending proprietary data to third-party services is not acceptable.
Need practical outcomes
You're not interested in theoretical discussions. You want to know how to actually use these tools to get work done.
Have constrained budgets
Enterprise licensing fees and expensive cloud credits aren't in your budget. You need options that make financial sense.
Want to build capability
You're not looking for a one-off fix. You want to understand how to integrate AI into your team's workflow sustainably.
That your team will become AI experts
I provide the brain dump and guidance. Whether your team runs with it is up to them.
Instant productivity gains
Learning curves exist. Adoption takes time. I don't sell magic pixie dust.
One-size-fits-all solutions
Every team is different. What works for one might not work for another. I help you find what works for you.
That AI will solve all your problems
AI is a tool. It can help with some things, make others worse, and has no bearing on most issues.
An effective brain dump of what I've learned through practical implementation. Clear explanations of options, honest assessment of trade-offs, and guidance that's grounded in real experience rather than marketing materials.
Whether that's valuable to you is your call. I don't push sales - I have enough work from referrals and ongoing engagements. I do this because I believe teams need better guidance than what the industry currently provides.
Every engagement is different, but here's what typically gets addressed as part of the advisory process.
Flat, fixed-scope and priced in the open — pick what fits, or let the advisor above point you to it. The estimate is always confirmed before any work starts.
€1,500
1–2 working sessions
Find where AI actually pays off for your team — before you spend a cent building it.
Credited in full toward any package you book within 60 days.
€2,000
a focused hands-on program
Get your dev team productive with agentic coding tools — fast, on your own codebase.
€4,000
~3–4 days
A private local AI dev stack stood up for your company — your data never leaves your infrastructure.
€8,000
~1–2 weeks
Everything in Local AI, plus throughput tuning, access control and a real quality eval.
Builds on the €4,000 base for teams that need more than an install.
€6,000
to PoC / UAT
A retrieval assistant grounded in your own docs — the honest, lower-risk answer most teams actually need.
A single-use-case PoC. Larger production scope is quoted per statement of work.
from €1,500
staged — feasibility, then pilot
Fine-tune a small private model on your data — sold honestly as experimental, gated by a feasibility check.
Stage 1 feasibility €1,500 → optional Stage 2 pilot €4,000. Money-back if the success benchmarks we agree up front aren't met. Further iterations at €70/hr.
from €1,200
half-day or full-day
A hands-on training day teaching your devs practical prompting and agentic patterns — on your own code.
Half-day €1,200 · full-day €2,000, per team. Per-seat cohort pricing available.
€3,000
fixed-scope advisory
A practical acceptable-use policy, tool inventory and EU AI Act risk classification — without the big-firm bill.
A practical starter kit — not legal certification.
€70/hour
ongoing, as needed
Hands-on help once you're rolling — live pairing & debugging, only when you need it.
Not sure which fits? Start with the AI Readiness Sprint — its fee is credited toward whatever you book next. I'm not here to upsell or create dependency; the goal is to get your team self-sufficient, then hand over.
Whether it's migrations, Forge app development, or practical AI guidance, I'm here to help. The best way to start is by asking in community.
Or check out my open-source MCP Document Processor to see what I've built.