Sal CarranzaApplied AI for professionals.

Builds

Open the repo.
Watch the demo.
Then build yours.

Each build has a repository or a live tool, a write-up when one exists, and a slot for a short demo video. These are independent projects, not client work, and they show the approach rather than promise results.

01Governance layer

Bailey

A governance layer for AI agents in professional work. Every action gated, receipted, and verifiable. Built on Paperclip, Apache 2.0, first proven on the business side of a legal practice.

Demo video coming
agentsgovernanceopen source
03Editorial sparring partner

Aleph

A sparring partner for what I publish. Everything I read, save, and think about goes in. What comes out is a shortlist of what is worth writing, with the sources attached. The writing is still mine.

Demo video coming
Private repository. Write-up coming.
nodecloudflareeditorial judgment
04Starter kits

Harness templates

Three ways to start a build with an AI agent: a one-page CLAUDE.md plus build spec, a five-file harness for a coding agent, and a four-document harness for a chat-based builder. MIT licensed.

Demo video coming
claude codetemplatesMIT
05Training data

Trazomo Synthetic Data

A shared synthetic universe of matters, parties, and documents so every exemplar repo and lab runs on realistic data that is safe to publish.

Demo video coming
datajavascript
08Learning platform

Trazomo

Applied AI learning for professionals who do the work. Build useful things on real work, direct AI tools, and leave with visible evidence of capability. Free tier, paid paths, an AI tutor.

Demo video coming
platformproduct

Client transformation work is confidential. Archived repos stay public so the pattern remains readable. Labs and exemplars run on synthetic or explicitly approved material.

PossibLaw on GitHub Trazomo on GitHub