I build tools to understand, automate and experiment.
This site is my technical notebook: I document my projects, workflows,
AI experiments and the tools I build through my explorations.
The subjects I explore
A map of my projects and curiosities: web, data, AI, automation, scraping and internal tools.
AI & experimentation
LLM, embedding, RAG and agent experiments. The goal: understand what really works, beyond the demos.
Automation
n8n workflows, Python scripts, webhooks and APIs. I try to connect tools to eliminate repetitive tasks.
Data & pipelines
Collect, clean, enrich and move data. Often messier than expected, but always interesting to structure.
Projects & deployment
From idea to a running tool: VPS, Docker, Traefik, logs, errors, fixes, deployment.
Acquisition & growth
SEO, scoring, CRM, emails, analytics and qualification. The topic that ties marketing, data and automation together.
Tools & methods
The tools I use, the workflows I test, what I keep, what I drop, and why.
Recent notes
Experience reports on what I test, build, break, fix and gradually understand.
Automating a Grammar Variable with an AI in n8n
How an LLM wired into n8n automates a French grammar variable that used to be computed by hand, for more natural Lemlist emails, and the pitfalls hit along the way.
Automatically Enriching Lemlist Contacts with Apollo via n8n
How I enriched incomplete Lemlist contacts with Apollo using two n8n workflows: broken endpoints, rate limits, and bugs fixed under real conditions.
Generating LinkedIn Posts with AI for Sales Reps Covering Multiple Industries
An n8n pipeline that generates weekly LinkedIn posts by industry for sales reps, using an AI agent, Data Tables, and automated Teams delivery.
How I usually assemble my workflows
A project, an idea or a shared topic?
I document here what I build and what I learn. If a topic resonates
with your own challenges, I'd be curious to discuss it.