Workflows that think.
Agents that act.
I combine workflow automation, agentic AI and ML into systems that don't just save time — they make intelligent decisions, monitor, predict and act on your behalf.
Approach
Three building blocks. Infinite combinations.
The best automations emerge when workflow logic, agentic AI and ML work together — not as separate silos.
Workflow Automation
Time-scheduled and event-driven pipelines in n8n, Make and similar tools — triggering precisely when something happens or needs to happen.
Agentic AI
LLM agents that understand context, make decisions and execute actions — not just answering questions.
Machine Learning
ML models that find patterns, predict outcomes and give the system the ability to learn and improve over time.
Real-world examples
Four pipelines. Four problems solved.
News monitoring & content
Fetches news from selected sources every 6 hours, lets AI assess relevance and automatically writes LinkedIn posts ready for approval — delivered directly in the Teams channel.
Intelligent mail triage with RAG
Monitors the info mailbox, analyses the content and automatically assigns it to the right person — including a draft reply based on the company's own knowledge base via RAG.
ML prediction of runner distance
ML model that continuously predicts how far a runner will get in 24 hours based on pace, heart rate and history — shown live so sponsors can follow along and bet on the runners.
Self-developing feature pipeline
The client creates a feature in Jira — Claude Code develops it autonomously, deploys to a test server and waits for approval. When the client approves, it goes straight to production.
Technologies
What I work with
The tools that drive the automations — chosen for what solves the problem best, not what's trendy.
n8n & Make
Visual workflow platforms for orchestrating complex, event-driven pipelines without building everything from scratch.
LLM Agents
Claude, GPT-4 and open-source models in agentic setups — with tool use, function calling and multi-step reasoning.
RAG & Knowledge Bases
Retrieval-augmented generation that grounds AI answers in the company's own documents, databases and processes.
ML Models
Training and deployment of custom ML models for prediction, classification and anomaly detection in real time.
Get started
Do you have processes that can be automated?
Whether you want to save time on manual tasks, build intelligent agents or leverage your data with ML — let's talk about what makes sense.