Projects

One system, built in layers.

These are not separate products. They are stages of the same idea: a foundation that turns information into intelligence, a reasoning layer on top of it, and verticals that aim it at a market. Two tools have shipped. The foundation is in active development.

Layer 00 · Foundation

Manifest

in development

Manifest: the document intelligence engine

The infrastructure layer everything else runs on. Manifest ingests documents, URLs, and raw text, embeds them into a vector store, runs semantic search, and returns sourced outputs with citations. It is built to be a stranger-demoable intelligence engine, not a chatbot.

FastAPIPostgreSQLpgvector IngestionEmbeddingsVector searchCitations
Try the live demo Read the architecture

Layers 01–02 · Reasoning & verticals

Built on top

Direction, not demos. These are referenced to show where the foundation leads. Public demos and links ship only when each is ready.

reasoning layer

Aletheia

Turns retrieval into reasoning: multi-source synthesis, inference, and analysis on top of Manifest. Answers "what does this mean?", not just "what exists?" Architecture defined.

Not yet built · no public link

vertical · in development

Playbook

The first vertical: intelligence applied to athletics recruiting. The foundation aimed at how programs discover and evaluate talent. Proof that intelligence systems generate real value in a market.

Private build · no public demo or data yet

exploratory

Blackletter

A second vertical, use case being scoped. Named and gestured at, waiting on the vertical pattern to prove out first. Built on the same foundation when it is time.

Concept stage · no public link

Groundwork · Shipped

Proven in code

The earlier work. Smaller in scope, fully finished, and open to use right now. Each taught a piece of what the foundation needed.

shipped

Triager+

Classifies help-desk tickets by category and priority. A FastAPI backend with a hand-built static UI. The lesson: a model only matters once it is a product someone can use.

MLNLPNaive BayesFastAPI
Open the tool
shipped

ShapeSound

A domain-specific language that turns symbolic input into visuals and audio. A study in parsers, compilers, and symbolic systems, running entirely in the browser.

DSLParserWebAudioCanvas
Open the tool

See how the foundation works

The architecture behind Manifest, layer by layer.