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Work / AlphaForge
◐ IN PROGRESS AI Lab · markets · evidence-first

AlphaForge — stock automation & an AI Lab.

A different beast than the rest: a market-automation platform built around capturing the evidence behind every decision — paired with an AI Lab for exploring strategies and a risk engine that keeps the whole thing honest. Same evidence-first instinct as my monitoring work, pointed at a much faster-moving problem.

TypeScript React
motion/reactAI LabRisk engineOperator console UI
// The idea

Decisions are only as good as the evidence behind them.

Markets generate noise faster than anything I've monitored. AlphaForge treats that the same way I treat infrastructure telemetry: capture the raw evidence first, keep its provenance intact, and never let a derived signal pretend to be ground truth. On top of that sits an AI Lab for testing ideas and a risk engine that scores and constrains what the automation is allowed to do.

It's the project I'm most excited to write up properly, because the interesting parts — how data is captured and how the risk engine reasons — are exactly the kind of thing a tech breakdown should show, not just claim.

// What's taking shape

Three pillars.

CAPTURE

Evidence capture

Every input and decision is recorded with its source and timing intact, so any outcome can be traced back to what was actually known at the time.

RISK

The risk engine

Scores and constrains automated actions against configurable risk rules — the governor that decides what's allowed to run, and what gets held back.

AI LAB

The AI Lab

A workspace for exploring and pressure-testing strategies against captured evidence, with the same source-aware boundaries I build into every assistant.

// Preview

Screenshots land here as it opens up.

Operator-console UI with strict, tokenized motion — the same design bar as everything else here.

◐ Deep breakdown coming

There's detailed documentation that walks through exactly how AlphaForge captures evidence and how the risk engine is built — it'll become the heart of this page (architecture diagrams, the capture pipeline, the scoring model). I'll fold it into a full breakdown soon — the code stays closed, but the architecture and approach are fair game. Want a preview or to talk markets + automation? Reach out →