What's new
Wins, upcoming talks, and what I'm building right now.
70 builders, around 20 teams, two rounds. ABN AMRO's challenge: tell whether the human on a banking video call is real. Instead of another deepfake detector, our team flipped it and built an app that proves a real person is present. It runs alongside any call with no plugins, reading LiDAR depth, rPPG and motion signals plus an ultrasonic fingerprint, scoring trust live and exchanging signed proofs over a secure channel. Demo and pitch built in two hours, judged to first place by a jury including Daniel Gebler (Picnic), Leonard Bukenya (Codam) and Lethabo Motsoaledi (Voyc). The prize: six months of full AI Hub membership for the team, worth €10,000, starting when the hub opens in September. 28 May 2026
On stage with Dorothy Seguy, to a room of senior fractional operators (CMOs, CTOs, CPOs, founders), on human-led growth and AI-assisted execution. I'll show how AI agents and workflow design help you scale outreach and follow-up, prioritize the right conversations, and cut the manual work, without automating the human side away. Jun 24, 2026
I'm building a master agent from scratch
Not a chatbot, an operator. A personal master agent that plans, decides, and executes work across everything I do. It plans in Todoist, runs inside Conductor on Claude Code, and remembers across sessions, so its reasoning compounds instead of starting over. Each job goes to the right model: a frontier model to orchestrate, smaller ones to synthesize and search, local models for the cheap work. Label a task and it boots a session and runs it end to end.
I build it in the open, including the part most people hide: the first version failed, and I document exactly why. Every decision is recorded with its reasoning, so nothing gets re-litigated and the learning compounds. Along the way I release the parts as free skills, prompts, and patterns you can drop into your own setup. Next: a content engine that turns the work into posts, an observability layer to see what the agent does and spends, and the principles behind all of it.
New builds, posts, and free skills as they land. No spam, unsubscribe anytime.
The parts that prove themselves become products you can plug straight into your own stack. First up:
Agent observability dashboard
See exactly what your agents are doing, spending, and caching, in real time, across Claude Code, Codex, and local models. Per-substrate cache-hit rates, your rolling usage window, and per-session post-mortems. Local-first and self-hosted: no SaaS, nothing leaves your machine.
Paid · coming soon