Turn a repetitive business task into an AI workflow your team can use.

I help founders and teams scope and build LLM agents, knowledge assistants and AI-powered internal tools. My approach starts with the user task, then connects the right data, tools and review steps.

A workflow map and clear acceptance criteria

A focused agent or RAG prototype using your approved data

API/tool integration for the agreed task

Evaluation scenarios, failure handling and human review where needed

Source code, setup documentation and a handover

Define one valuable use case, build a working version, review examples together, then refine for the agreed deployment environment.

One user task, one approved source or tool integration, and a small evaluation set. We review the working prototype against agreed success and failure scenarios before expanding it.

Share the workflow, source documents or API details, current pain points and examples of a good result.

Custom quote after discovery. Model usage, hosting and third-party services are separate. Production rollout follows agreed evaluation and access requirements.