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Notes on building AI that ships.

Practical writing on agents, evaluation, automation, and turning research into products — from someone who does it. Seven notes so far, each with its figures and its sources. Subscribe to get the next ones when they land.

NOTES   Innovate, automate, and own the IP — notes from having done itRead →
FEATURED · NOTESNEW

The moat moved.

AI coding agents made software cheap to build. What stays defensible is the invention, the patent that protects it, and the reputation you earn by publishing what you learned — with my publications on a timeline, the paper-to-valuation loop, and every claim linked to its source.

Invention & IP · 29 September 2026 · 7 min read · Read the note →
Cover of the note: the moat moved
NOTES · ORIGIN STORYNEW

From LSA to LLMs: twenty years of teaching machines meaning

In 2004 I built LSAbot, a chatbot that chose its answers by geometry rather than by keywords. What carried over into today’s language models, what did not, and why I still keep one foot in formal methods — with my publications and certifications on a timeline.

Research · 6 October 2026 · 8 min read · Read the note →
Cover of the note: from LSA to LLMs
Cover: From Demo to Product
AGENTSNEW

Why your AI agent demo isn’t a product, and how to fix it

Orchestration, quality-control loops, evaluation and integration: the four gaps between a demo and a system a client will pay for, and how AIDA Agents closed each one.

13 October 2026 · 7 min read · Read the note →
Cover: Numbers That Mean Something
EVALUATIONNEW

How to evaluate an LLM system so the number means something

LLM-as-a-judge validated against humans, dual metrics, three levels of benchmark, and the paired statistics that stop you fooling yourself, with the numbers from AIDA Agents and the red-teaming study.

20 October 2026 · 6 min read · Read the note →
Cover: Where Efficiency Comes From
AUTOMATIONNEW

Automating a workflow with agents: where the efficiency actually comes from

Map the process, automate the repeatable, keep humans on judgment, and measure before and after. What actually changed in a localization workflow, with the numbers at their honest level of evidence.

27 October 2026 · 4 min read · Read the note →
Cover: Idea to Patent
INVENTIONNEW

From idea to a defensible AI patent: a practical path

What is novel, what to file versus keep secret, how to work with counsel as an engineer, and how to build the product so the claims hold, from six filings and three issued patents.

3 November 2026 · 7 min read · Read the note →
Cover: The First 90 Days
LEADERSHIPNEW

What a CTO should decide in the first 90 days of an AI product

Architecture, evaluation, data, security and IP: the decisions that compound if you make them early, the ones that can wait, and what I decided first when I took over technology at DATAmundi.

10 November 2026 · 6 min read · Read the note →

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