Your AI works
in the demo.
I make it work
in production.
Most AI projects stall between prototype and production. I fix that — building reliable, production-grade systems your team actually owns.
Your AI is live.
But is it actually working?
Most companies at this stage aren't asking 'should we do AI' — they're asking why theirs isn't reliable, measurable, or trusted by the team. That's exactly where I come in.
Southern Sun is my consulting practice for companies stuck between 'working demo' and 'trusted production system.' Most AI consultants build prototypes. I build the systems that actually run your business.
Three ways
to work together.
Scoped engagements. Fixed prices. You work directly with me — no account managers, no junior handoffs. Less than a month of a full-time AI hire.
AI Audit & Roadmap
Your AI is live but unreliable. I audit your prompts, architecture, and eval coverage — find exactly what's broken, what it's costing you, and give you a prioritized fix plan with exact next steps.
Build & Ship
I design and build your AI system end-to-end — RAG pipelines, multi-agent architectures, eval infrastructure. Production-ready, measurable, documented, fully yours.
Ongoing AI Advisor
Monthly strategy calls and async architecture reviews, scoped to your active AI initiative. Senior judgment on demand — no team embedding, no retainer creep.
No pitch.
No deck.
A process that starts
with your problem.
Every engagement starts with understanding your actual problem — not pitching a solution.
Discovery Call
30 minutes. You talk, I listen. No pitch, no deck — just an honest conversation about your situation.
Scope & Price
A clear proposal lands in your inbox — fixed price, defined timeline, exact deliverables. No surprises.
Build
Weekly check-ins, async updates. You always know where things stand — no black box engineering.
Handoff
Full docs, a walkthrough, and your team owns it completely. I step away — that's always been the goal.
Built.
Shipped. Real.
A few things I've built — from production AI at scale to open-source tooling used by real teams.
Built four production AI systems for a platform with 10M+ users — including eval infrastructure with scoring, regression testing, and model comparison, so the team knows when the AI is getting better or worse across every model update.
Start a conversation →Wine club directory combining vector search with LLM — wine clubs matched by vibe using vector search, plus a multi-agent content pipeline (Writer, Editor, Scraper) to generate and maintain content at scale.
Visit site →Prompt management and testing UI for AI agents — like Swagger UI, but for your agents. Non-technical teams iterate on prompts without touching code or deployments.
View on GitHub →Tell me what's broken.
I respond within 24 hours — no sales team, no runaround.