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FIELD NOTES

Engineering, written the way we'd say it out loud.

Real trade-offs, specific stack choices, and honest takes on when AI is — and isn't — the right tool. No listicles.

An open gold-line rulebook sending a stream of candlestick shapes through a gold archway checkpoint with a glowing lens, where one candlestick is stopped with an X, on a deep green background

Building Rulebook Trader: Where the Rules Decide and AI Just Reviews

A paper-trading side project built for fun, for testing strategies, and for trying tools. Deterministic rules make every call, a cheap AI reviewer can only veto, and every decision gets logged. The pattern travels well beyond trading.

A gold-line funnel filtering abstract document shapes through to one side, while a wrench and a handshake bounce off the rim and fall away on the other side, on a dark navy background

Where Small Businesses Should (and Shouldn't) Use AI

AI pays off where you have a pile of messy text or a decision repeated hundreds of times — and it wastes money everywhere else. A three-question test, with real examples from a dealer-network build.

Two overlaid golf swing pose skeletons, one gold and one silver, tracing the same swing sequence from address to follow-through with glowing ball-flight arcs, on a black background

Building SwingSync: Comparing Two Golf Swings That Don't Run at the Same Speed

An iPhone app for studying two golf swings side by side — synced by phase, not by the clock, with a local pose-estimation backend that refuses to guess timing markers more often than it offers one.

A glowing amber city skyline hub connected to surrounding neighborhoods by forecast lines, on a dark clay-terracotta background

Building Hearth Index: Forecasting Home Prices for Every ZIP Code, Not Just the Metro

A one-day feasibility spike that forecasts home values for 894 metros and 26,268 ZIP codes, backtested against nine years of real outcomes. The two-part model, the ablation discipline, and the bugs it caught along the way.

Gold candlestick chart cresting into a network of connected nodes on a dark navy background

Building Alpaca Explorer: Asking the Market a Question Instead of Reading a Dashboard

A chat interface over live Alpaca market data, with Claude running a read-only tool-use loop instead of a wall of tickers. The architecture, the "unusual options activity" heuristic, and what I'd build next.

A gold forecasting price chart rising into a network of nodes, with a wine glass and bottle outlined in gold on a dark navy background

Building Cellar Index: Teaching a Model Which Wines Are About to Change Price

Ten years of government PDF price lists turned into three production models — and the ablation discipline that rejected most of the features I tried. Plus what's still left to tune.

A gold line-art profile silhouette beside a glowing crescent moon and an arc of moon phases on a dark navy background

Building MoodLens: a mood journal that reads between the lines

How I built an iPhone app that reads the emotion in what you write or say, keeps your data private, and costs almost nothing to run.

Gold star-rating review cards dissolving into data particles connected to a network of hospitality icons on a dark navy background

What a 4.16-Star Average Doesn't Tell You

Building a review-intelligence prototype for a multi-line hospitality business: sentiment scoring, zero-shot aspect classification, and what 1,531 real reviews revealed once broken out by business line.

Gold photo-frame icons clustering into a smartphone outline on a dark navy background

Building PhotoNester: Teaching an iPhone to Organize a Million Memories

An app that sorts your entire camera roll into Travel, Pets, Food, and more — without a single photo ever leaving your phone. Here's how it actually works, and the bug that almost shipped a broken app.

Two gold paths, one lined with network nodes and one with API brackets, converging at a glowing decision point on a dark navy background

When to Build a Custom Model vs. Use an API

OpenAI's API is the right call more often than most technical founders want to admit. Here's the actual decision tree, not the sales pitch.

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