Operating now
Ventures
A CTO seat at NuCalm, and a set of systems I built for decisions that move capital: AI sense-making, natural resource operating pictures, real estate, and trading.
01 / Part-time CTO
NuCalm
NuCalm makes audio you choose by how you want to feel. Put in earbuds, pick a state like Unwind, Focus, or Fall Asleep, and press play. There is nothing to practice. The technology started as a clinical device used in surgery, and since 2021 it has been an app.
I serve as NuCalm's part-time CTO, focused on scaling the business and bringing AI into how it markets. A lot of that starts with being found. More people now ask an AI assistant before they search, so I studied how NuCalm shows up in those answers and built content written for the way 14 different assistants read.
I am also leading a ground-up rebuild of the web experience: a few plain choices, strict rules on what we claim, and copy that sounds like a friend's recommendation. AI does the research, first drafts, and creative. People make the final call.
- Business scaling
- AI adoption in marketing
- AI discoverability across 14 assistants
- Web experience rebuild
- Claims discipline
Being found by AI
Every assistant, one accurate answer
When someone asks an assistant how to sleep better or calm down before a big moment, the answer should describe NuCalm correctly, in plain words, with only the claims we can stand behind. I mapped how each assistant reads, then wrote for all of them.
02 / AI sense-making
300+ AIs, one adjudicated answer
I wired together more than 300 AI models with AI adjudication for sense-making. Each model reads the same evidence on its own. An adjudicator model weighs where they agree, logs where they don't, and scores its confidence. People get a sourced brief and still make the final call.
The same pattern runs nightly research briefs with a memory that carries from one edition to the next, and a review board where independent models each read a setup before a chief adjudicator makes one call.
- Independent analysts across providers
- Adjudicator reconciles and scores
- Dissent logged, not averaged away
- Memory across editions
- Human sign-off before anything ships
03 / Natural resource acquisition
A common operating picture for the ground truth
I build common operating pictures for natural resource acquisition. Resource sites, concessions, infrastructure, environment, hazards, and security risk sit on one live map, so a team can judge ground conditions before it commits capital.
AI drafts the daily briefing from what the map is seeing. A person approves it before anyone acts on it.
- 30+ live and reference layers
- Resource, infrastructure, and environmental overlays
- Risk, hazard, and geofence alerts
- AI briefings with human sign-off
- Export to Google Earth and GIS tools
Illustration uses a fictional region.
04 / Real estate investing
Every listing, underwritten overnight
I invest in residential real estate and screen deals with my own tools. A nightly sweep runs the numbers on every listing across more than a hundred markets, maps the risk, and queues outreach only for the deals worth a call.
AI reads the listing remarks. It never sets a number. The math and the final decision stay with me.
- Nightly multi-market deal sweep
- Wholesale, flip, and rental math
- Flood, income, and crime overlays
- Agent outreach with human review
05 / Trading
Commodities, stocks, and futures
I trade stocks, futures, and commodities with software I built: rules-based setup detection, position sizing tied to the live account, and a panel of AI models that checks each call against the method before any order goes in.
Every setup can be replayed against past data, and the AI connector runs paper-only by default with hard caps on order size.
- Stocks, futures, and commodity contracts
- Rules-based setup scoring
- Risk-first position sizing
- AI review panel with hard guardrails
- Replay testing against past setups
Nothing here is investment advice.
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