BUSINESS PROBLEM
→
PRODUCTION SYSTEM
I work directly with business and technical leaders to understand how the operation actually works, identify where AI can create measurable value, and own the path through implementation.
Agents that do real work. Not demos. Not prototypes.
Equally comfortable with your CFO and in your codebase
Partnerships built · products powered
IT'S NOT AN INTELLIGENCE
PROBLEM. IT'S A
DEPLOYMENT PROBLEM.
Most companies don't need a smarter model. They need someone who can identify the business problem worth solving, decide where intelligence belongs, and own the path to production.
Everyone can buy the same models
Intelligence is commoditized. The frontier model you'd build on is the same one your competitor can buy this afternoon. Capability is no longer the moat.
Nobody can say where an agent belongs
The real gap is deployment. Where does an agent belong, where does deterministic code belong, and where does a human have to stay in the loop? Most companies have nobody in the building who can answer that.
That's the job
I map how the work actually gets done — not the documented version, the real one with all the exceptions. I decide what's worth automating and what isn't. Then I define the right system and own it through production.
What I Actually Do
I walk into a business I don't know, learn how it really runs, and ship something that holds up under load. I map the real workflow — with all its exceptions — decide what's worth automating, define the right system, and lead it through production.
In software
Industries shipped in
Super Bowl concurrency
EVIDENCE, NOT
ENTHUSIASM
Anyone can wire up a model and get a convincing demo. The hard part is making it safe to put in front of real operations. That's the part I take seriously.
I can prototype and build directly, lead technical teams, or work alongside yours.
Evals that prove it behaves
Before anything touches production, there's a test harness that shows how the agent performs against the cases that actually matter — and catches regressions when the model changes underneath you.
Guardrails that contain the blast radius
Dry-runs, approval gates, spend caps, and hard limits on what an agent can do unsupervised. When something goes wrong, it fails small.
Audit trails your team can inspect
Every decision and tool call is traced. When someone asks what happened, there's an answer your team can read — not a black box.
The right tool for each step
Deterministic code where you need determinism. Judgment where you need judgment. A human in the loop where the stakes demand one.
Built to survive production
Not a demo that works once on stage. A system that holds up under real volume, real edge cases, and real load.
Yours to run
Full source, full ownership, and documentation your team can operate without me. No black boxes, no lock-in.
EMBEDDED. SCOPED. PHASED.
A real owner
Best when the problem has an executive or operating owner who can make decisions, provide access, and measure whether the work created value.
A number attached
Success is measurable, not a vibe. We name what "working" looks like up front, with a metric — then build toward it in scoped, phased steps.
A focused slate
I take a small number of engagements at a time so each one gets real attention. Deep work, not a headcount req to fill.
THE RANGE IS
THE POINT
Most of my work is walking into a business I don't know, learning how it really runs, and shipping something that holds up. The method travels — the domain is just this month's exceptions to learn.
IT HOLDS UP
UNDER LOAD
Super Bowl
Held up at Super Bowl concurrency
NY Knicks · NCAA
Powered products used by top programs
ESPN · Coca-Cola · Forbes
Partnerships built
“I had the pleasure of working with Cam for about a year, and I believe I'm a more effective technology professional now because of it. Cam jumped head first into bringing our ambitious AI product vision to life, and became a trusted strategic partner immediately. Always willing to listen and understand the various problems we were setting out to solve, then collaborating to find the best solution possible (at times within challenging system constraints), Cam's holistic approach to his work benefited our team in ways big and small, strategic and executional. Any product team looking to solve complex problems for their customers and their business would be lucky to have Cam in their corner.”
Justin Sutton
Product and AI Systems Leader · ShotTracker
“I had the pleasure of working with Cam on building an Agentic AI powered B2B platform for the mortgage industry, and I can confidently say he is one of the most exceptional engineers that I've ever worked with. Cam takes the time to truly understand the project's needs and goals ensuring the solution stays on the right path. His communication is great and his professionalism sets him apart in the industry. In addition to his technical skills, he has an entrepreneurial background that brings a unique and welcomed perspective to any project. He also has a unique ability to prioritize progress over perfection which is refreshing when working with such a dynamic technology. Cam's ability to balance technical expertise and an approachable demeanor make him excellent at what he does. I highly recommend working with him.”
Marc Hernandez, CMB
Founder & CEO · Mortgage Banking & Fintech · Guideline Buddy
“I had the privilege of collaborating with Cam on building a sophisticated LangGraph-based multi-agent chatbot for basketball statistics. Cam's versatility and problem-solving skills stood out throughout the project. Not only does he possess deep expertise in autonomous agents, orchestration layers, and flow engineering, but he also seamlessly juggled both AI backend and frontend application development. His ability to balance technical depth with practical implementation was instrumental in bringing our vision to life. Cam is the kind of teammate who inspires confidence and consistently delivers exceptional results. I would highly recommend him to anyone looking for a multi-talented engineer who can tackle complex challenges and build cutting-edge systems.”
Orhan Akal, PhD
Co-Founder, CEO, CTO · JaxSuite / SmileShape.AI · Multi-agent basketball chatbot
“Cam is fantastic at keeping the customer at the center of his decision-making process. He not only produces thoughtful designs but also has a deep appreciation of the delicate balance between business goals and user goals. He radiates positive energy and is a great collaborator. Any project would be lucky to have him on the team.”
Ashley Halsey Hemingway
Product collaborator · Customer-centered product work
Systems shipped into production
I RUN A TEAM
OF AGENTS
Burley AI runs on the same agent systems I deploy for clients — with their own email accounts, Slack access, browser sessions, and real autonomy. It's not a metaphor. It's how the work gets done, and it's the same discipline I bring into your building: agents that operate under guardrails, with a human accountable for the outcome.
Email accounts
Slack access
Browser sessions
Actual autonomy
One of them may be reading this right now.
FREQUENTLY ASKED
A consequential business problem with real operational volume — something expensive to run by hand, ambiguous enough that the right system isn't obvious yet, and important enough that an executive or operating owner is willing to own the outcome. Bring me the problem, not a pre-decided tech stack.
All three, depending on what the engagement needs. I can prototype and build the critical pieces directly, lead a technical team, or work alongside yours. What doesn't change: I own the technical outcome through production.
Scoped and phased, not open-ended. We define success up front with a metric, then move through it in stages. I take a small number of engagements at a time so each gets real attention.
Then I say so. Part of the job is deciding where intelligence belongs — and where it doesn't. Sometimes the right system is deterministic code, a workflow redesign, or keeping a human in the loop. I won't force an agent into a problem that doesn't need one.
No. What you need is a real owner — an executive or operating lead who can make decisions, provide access, and measure whether the work created value. I can assemble or lead the technical side; you don't need a counterpart engineer on day one.
Someone who embeds inside your company, learns how the work actually gets done, and owns the path from business problem to production system — instead of handing you a model and walking away. I decide where an agent belongs, where deterministic code belongs, and where a human has to stay in the loop.
Evals: a test harness that proves the agent behaves against the cases that matter and catches regressions when the model changes. Guardrails: dry-runs, approval gates, and hard limits so failures stay small. Audit trails: every decision and tool call traced, so when someone asks what happened there's an answer your team can read.
No — the range is the point. I've shipped across agriculture, estate planning, sports, prediction markets, mortgage, and real estate. The method travels; the domain is just this engagement's set of exceptions to learn.
MESSAGE ME
If you have a consequential business problem and want someone who owns the path through production, tell me about it.
A small number of engagements at a time · Avg. response: same day