That is the whole thesis. Everything I build takes something dense and illegible and turns it into something a person can use. erudite does it for research: the frontier, in plain language, turned into a plan you can build. Doré does it for finance: a wall of claims, reconciled and cited, turned into a clear read. Two ways to work with it.
erudite is live and free. Open it, read today's frontier at the level that fits, and turn a paper into a plan. Nothing to deploy, no call to book. Open erudite ↗
The other way in · a deployment
For proprietary tooling like Doré, built and run inside your own programme, a build runs in three steps. The artifact is a working agent, not a deck.
We walk through the work that has to be watched with your team, and look at what is already covered and where the picture goes dark.
The output is a deployment plan with measurable targets and the places where an always-on agent adds the most. It bridges into a design-partner engagement, or stands alone.
For teams running real operations today. The agent runs on Hermes, my runtime, governed by your rules and wired into the systems you already use.
It ships with a working data layer underneath. It finds its own sources, re-checks them every few hours, replaces them when they break, and keeps an append-only record with the source behind every figure.
It ships into production with measurable improvement in what's covered, how fast problems surface, and how ready the evidence is, with one named owner on my side accountable for it.
Every change to the rules takes two approvals and is logged. Kill switches sit with the people who should have them. Evidence is kept to whatever standard your regulator asks for.
A monthly subscription covers the runtime, rule reviews, and a human on the edge cases. The agent stays running. Your team owns the work.
We do not hand back a slide deck. We do not write a strategy paper. We do not run a multi-year programme.
If the agent is not watching the work better than your team can by hand on day one, the deployment failed.
Almost a decade inside a global investment bank, building LLM analytics platforms, decision systems, and transaction monitoring infrastructure for institutional teams. Direct work across high-value payments, cross-border settlement, and operational risk. Now building products on the same discipline, and deploying operator tooling inside stablecoin programmes.