I build AI orchestration systems, prompt infrastructure, and practical software tools.
A prompt operating system for multi-model AI workflows. Babel provides a layered instruction stack — behavioral rules, domain expertise, model adapters, and project overlays — that routes tasks to the right prompt context before any model sees them. Designed for developers who want deterministic, auditable AI behavior across Claude, GPT, Codex, and Gemini.
A personal finance CLI with a ledger-first SQLite backend and a Monte Carlo risk engine. Calculates a deterministic safe-to-spend value by projecting income and bills 90 days forward, then stress-tests that projection across 500 simulated scenarios. All monetary values are stored as integer cents — no float drift.
- Prompt infrastructure and AI orchestration tooling
- Evidence-gated self-learning systems for LLM workflows
- Practical local-first software with clean data models
| Repo | What it is |
|---|---|
| Babel | Prompt OS — layered instruction stack for multi-model AI |
| MonteCarlo-Ledger | Personal finance CLI with Monte Carlo risk simulation |
- Start with Babel if you're interested in prompt engineering, LLM orchestration, or AI workflow infrastructure.
- Start with MonteCarlo-Ledger if you're interested in financial modeling, CLI tooling, or SQLite-backed applications.
- This repo (
gthgomez) is the profile landing page — nothing to run here.