Map a codebase and check the running source
A runnable booking-service example, with the map, source, tests and recorded Claude sessions.
Three formats, all built on the same idea: your company gets good at AI and keeps shipping after I leave. That holds whether you already have a stack you like, want to replace the one you have, or are starting from scratch. Choose a team workshop, a focused sprint, or ongoing advisory.
One day, remote
For: Teams that want a serious, hands-on introduction to working with AI on the tools they use every day.
Outcome: Your team leaves with working setups on their own machines and one or two of your real use cases solved during the day.
from €2,900
Ask about Eigenwise WorkshopSix working days, spread over about four weeks
For: Companies that want measurable output from AI across their teams.
Outcome: Three weeks later your team ships with AI and you can point at the exact workflows that got faster.
from €8,500
Ask about Eigenwise SprintOngoing, about 2 days per month
For: Companies that want a standing AI brain at the table.
Outcome: Architecture reviews, build-versus-buy calls, hiring help, and an honest opinion when a vendor promises magic.
For current availability, email me with what you want to work on.
Ask about Eigenwise AdvisoryTwo public examples you can read and try:
A runnable booking-service example, with the map, source, tests and recorded Claude sessions.
The Atomic Agents setup guide and example for following agent, model and tool calls.
Contractify, a Belgian SaaS company, built their first AI features on LangChain and found them hard to maintain and extend. I replaced that foundation with Atomic Agents and built Ada, their data-extraction agent. It runs in production today, and I still work with their team on new AI functionality.
I designed and delivered an MCP workshop for a team at Henkel: what the protocol does, where it fits, and how to build servers for internal tools.
Tell me in two lines what you are working on and where AI is letting you down.
Get in touch