Practice
AI products.
I design and build applied AI products — tools for human–AI collaboration, agent workflows, permissions and trustworthy operation.
AI products Learning systems Interactive web experiences
What recurs across the work
The same questions come back in every AI product: who the user is and what they already know; what the tool may do on its own and what needs a human’s yes; what the user can see of what the model did; what happens when it fails; what evidence the tool leaves behind; and how you test any of that without a live model in the loop. OpenBots is the fullest answer so far. The smaller tools are earlier attempts at the same questions.
Lead proof: OpenBots
A native macOS app that turns Claude into a team of persistent, named teammates — durable local state, explicit approvals, Swift 6, MIT. Preview build: the executor for consequential actions is disabled.
Read the case study Repository
Also: AI, Applied.
A searchable public library of real AI use cases from the Wharton Alumni AI Studio community — convened and built by me.
Earlier tools
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Active Listening AI
An AI that listens and helps you work through your thoughts without offering advice. No clock, free, available 24/7.
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Easy Local LLM Guide
What local LLMs are, how they protect your privacy, and how to install the popular ones on a Mac.
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Privacy Protection (Meta-Data Eraser)
Remove hidden information from your files before sharing them.
How the building gets done
I design the product and make the technical calls — architecture, stack, interactions — then direct AI coding tools that build to my spec. I review and test everything that ships.
Hire me for this
I build AI tools for your team. Working software, designed with the people who’ll use it. It takes the repetitive work off their plate; they keep the judgment.
Or write to lorenzo.colombani@live.fr. Available on retainer, for a few clients at a time.