Contact
Reach out if you need AI architecture that can be explained, operated, and improved after the first demo.
I’m especially interested in private retrieval systems, document intelligence, local-model workflows, support automation, and roles where practical systems judgment matters as much as the model choice.
Best Fit Conversations
- You are building an internal AI or retrieval system and need someone to turn rough requirements into a workable architecture.
- You have a document-heavy or support-heavy workflow that looks promising for automation, but the trust and maintenance risks are still unclear.
- You need a builder who can move between technical depth, operational realism, and stakeholder communication without treating those as separate jobs.
Primary Channels
- Email: [email protected]
- LinkedIn: james-alex-griffin
- GitHub: jag-a-i
What To Send
A useful first message does not need to be polished. A short note with the problem, the current workflow, the kind of data involved, and the outcome you want is enough to start a productive conversation.
- For AI architecture: describe the corpus, users, privacy constraints, and what a trustworthy answer needs to include.
- For automation: describe the repeated workflow, the tools involved, and what should happen when the automation is uncertain.
- For roles or collaboration: include the team context, expected scope, and whether the work is exploratory, production-facing, or both.
What Happens Next
If the problem looks like a fit, I usually start by clarifying the workflow, constraints, and success criteria before jumping to tools. That keeps the early conversation concrete and prevents the project from turning into a stack discussion before the real problem is understood.
That first pass is usually about scope, risk, ownership, and what a trustworthy result would actually need to look like in your environment. If it is obviously not the right fit, I would rather say that early than drag you through a vague discovery cycle.