I build practical AI tools for commerce, operations, and developer workflows.
I like systems where AI proposes, humans approve, and every important change leaves a receipt.
- AI-assisted workflow tools that make changes inspectable before they ship
- Decision-support interfaces for messy operational signals
- Local-first tools for search, context, and agent workflows
- Guardrails, simulations, and validation around model output
commerce-changeset— AI-assisted commerce changesets with authorization gates, receipts, and rollback.ops-signal-console— synthetic ops console for reviewing signals and next actions.textrawl— local-first document search and context tooling for LLM workflows.guardrail-sim— simulation harness for testing AI decision boundaries.lead-enrichment-api— schema-bound enrichment API demo using synthetic data.mdyoink— browser utility for turning web pages into cleaner Markdown context.
- Human-in-the-loop AI systems
- Product surfaces for agent workflows
- Synthetic demos that show behavior without exposing private data
- Small tools with tests, CI, and clear maintenance boundaries
- Portfolio: https://hirejeffgreen.com





