AI Systems Consulting
Your business runs on decisions. Let agents handle the rest.
I build bespoke AI agent systems for businesses that need more than a chatbot — specialist architectures tuned to how your team actually works, implemented and running reliably. I also build full-stack applications for clients who need production-grade software.
Who this is for
The right fit matters on both sides
I work with a small number of clients at a time. Before we talk scope, it's worth being clear about where I can add real value and where I can't.
Good fit
- ✓Your team repeats the same cognitive tasks every week and you know it
- ✓You've tried AI tools but results are inconsistent — good in a demo, unreliable in production
- ✓You run a SaaS, ecommerce operation, or agency with real workflows to systematize
- ✓You want something built for your business, not a template everyone else is using
- ✓You understand this is infrastructure — it compounds over time and needs maintenance
- ✓You have a developer on staff or the budget to maintain what gets built
Not the right fit
- ×You want a quick ChatGPT wrapper or a no-code automation tool
- ×You're looking for someone to manage your existing AI subscriptions
- ×Your workflows aren't defined yet — agents amplify clarity, they don't create it
- ×You need something live in two weeks
- ×You want to own the system but have no technical capacity to maintain it
How an engagement works
Four phases. One compounding system.
Every engagement follows the same progression — from understanding what your operation actually needs to a system running reliably and a team that knows how to use it.
01
Most businesses that want AI systems haven't clearly mapped what they need. The audit phase is about understanding your cognitive tasks, your team structure, your data, and where agents would create leverage versus noise. This is worth doing even if we don't work together further.
- Current workflow review — what your team actually does, not what the process doc says
- Cognitive task mapping — separating analytical, creative, and procedural work
- Agent architecture recommendation — which tasks get specialist agents, which don't
- Written findings you keep regardless of next steps
02
A single agent doing five different jobs produces mediocre output on all five. Architecture separates cognitive tasks into specialist roles — an analyst that thinks like an analyst, a copywriter that thinks like a copywriter, an orchestrator that coordinates without doing the work.
- Specialist agent design — one role, one context window, one job
- Knowledge base structure — what each agent sees and what it doesn't
- Orchestration design — how agents hand off between phases
- Skills library — the procedures each agent follows, not just what it knows
03
The first version is never the right version. Build phase includes implementation, real runs against your actual data and workflows, and iterative tuning based on what the system produces. An agent system that works in theory but not in production isn't done.
- Full implementation tuned to your stack and tools
- Integration with existing platforms — CRM, ad accounts, content tools
- Iterative refinement based on real output quality
- Documentation tailored to your team, not generic
- Training — getting your team confident, not just informed
04
Agent infrastructure isn't set-and-forget. Your business evolves, new capabilities emerge, performance data reveals what to tune. A retainer keeps the system improving alongside your operation.
- Monthly skills tuning based on what's working and what isn't
- New agent integration as your operation expands
- Performance review — real output analysis, not status calls
- Priority access as AI capabilities evolve
Why this, why now
You're not buying software. You're buying judgment.
The tools exist. Claude, GPT-4, agent frameworks — any competent developer can wire them together. What's scarce is the architectural judgment to know what to build, and the production experience to know why the first three versions won't work.
The problem with most AI implementations
The instinct is to give one agent everything — research, write, analyze, manage. It's the same mistake as hiring one person to do a job that needs a team. The analyst and the copywriter think differently. Collapsing them degrades both.
What changes with specialist architecture
Specialist agents with scoped roles, their own context, their own skills files, and explicit handoffs produce consistent output because they're not context-switching between five different cognitive modes. The orchestrator coordinates. The specialists execute.
What businesses actually need
The point isn't automation for its own sake. It's reclaiming the hours your team spends on repeatable cognitive work — ad analysis, content production, support triage, data processing — so they can focus on the judgment calls that actually require humans.
The long game
Skills files improve through use. Every time an agent encounters something new, the procedure gets updated. Six months in, the system knows how your business works in ways that don't need to be re-explained. That accumulated context is the real competitive advantage.
Proof of work
Built, shipped, running in production
Eight years building and shipping real systems — not demos. The infrastructure behind this consulting offer is open source, documented, and in use.
8+
Years shipping production software
50+
Enterprise clients on RipeMetrics
40%
Customer service cost reduction via AI
5
AI integrations on a single healthcare platform
AI Infrastructure · Open Source
AI · SaaS · 2017–2025
Healthcare · AI · 2025
Consulting case studies — coming soon
Detailed walkthroughs of agent systems built for real business operations. First cases publishing Q3 2026.
Tell me what you're trying to do.
Describe your operation and what you're trying to systematize. If it's a good fit I'll tell you what I think an engagement looks like. If it's not, I'll tell you that too — and point you toward what would work instead.
Based in San Diego. Working with clients remotely worldwide.
Also taking on full-stack development projects.