A dashboard that shows evidence, not verdicts.

Sonny does the grounded research, but it lived in a terminal. A scientist shouldn’t need a command line to ask a question, and shouldn’t have to take the answer on faith.

LUMINA is the surface anyone can work with Sonny through: ask a question, watch the reasoning stream as it forms, and open any citation to check it yourself. I built it evidence-first: it starts with what you can scan and rank, and only opens into detail when you ask for it.

Most AI research output is a document. For a quick read that’s fine. For diligence it isn’t, because the expert’s real job is comparison: this target against that one, this trial against the field, what changed since last week. You can’t do that by scrolling paragraphs. The second trap is the confident verdict: a tool that prints “BUY” or “SELL” is asking to be trusted on faith, when experts want the drivers, the uncertainties, and what would change their mind.

So LUMINA supports the decision instead of making it. Every view leads with drivers, uncertainties, triggers, and verification, not a score. Each point shows why it matters and what would change it, and links back to the record Sonny grounded it on. There’s no BUY/SELL field to fill, so the tool can’t fake confidence it hasn’t earned.

LUMINA is a React app with an Express backend that wraps the Sonny engine. It works in two directions over one shared evidence layer: you pull answers on demand, and it pushes what changed while you were away.

The feature I care most about is watchlist monitoring, because a diligence question rarely stays answered. You put targets, assets, and competitors on a list, and LUMINA re-fetches the feed sources against them, PubMed, ClinicalTrials.gov, and news, when you open the feed. It dedupes new items by normalized URL and flags anything newer than your last visit as unread. What changed lands at the top.

The value shows up when a new trial posts or a competitor’s program moves: LUMINA surfaces the thing you didn’t know to ask about. That’s also why the dashboard keeps state where the agent doesn’t; a watch is only useful if it remembers what yesterday looked like. Scheduled refresh and a real semantic diff are the next build, not a claim I’ll make yet.

The hardest calls were subtractive. Cutting the BUY/SELL verdict. Refusing to show a number the evidence couldn’t support. Keeping reference counts visible on dossier cards so a summary never hides a claim’s backing. Sonny’s grounding discipline only holds if it survives all the way to the pixels, and the architecture leaves room above this for a system-level trust layer.

The best thing a research tool can do for an expert is get out of the way of their judgment: lay the evidence out so they can compare quickly, and make every piece of it trivial to verify.

LUMINA and Sonny are two halves of one thesis. Sonny makes the research verifiable, LUMINA makes it usable.