If AI can't enter the workflow, it's still a demo.
I build AI products that plug into real business systems — not chat wrappers, not prompt theater. Protocol design, workflow orchestration, trust-aware execution.
I compress models, workflows, data, and human action into interfaces that can enter real business systems.
The rare skill in the AI era is not using models — it's getting models into production.
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Reverse proxy that lets Claude Code talk to any OpenAI-compatible gateway via real-time protocol translation. Translates both directions — requests, responses, tool calls, streaming SSE, and token counting. Zero client patches, zero upstream changes.
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MCP server for AI travel agents — luxury hotel intelligence and secure checkout handoff. Search → compare → quote → intent → secure handoff. Agents stop before payment. That's the trust boundary by design.
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| Workflow First | Define the workflow and responsibility lines before touching the model. |
| Structure Before Magic | If it can be structured, it should not stay fuzzy. |
| Trust Has a Boundary | AI can generate, suggest, and compare — but it should not cross the trust line. |
| Ship Into Reality | Real value is not in the benchmark. It's whether the system enters the business. |
