Business context
Connect the system to operating reality, constraints, incentives, and the outcome that matters.
AI is only useful when the system around it works.
Latent Builds starts with the work itself, then handles product design, engineering, integration, and launch.
AI implementation qualification
Founder-led implementation connects:
Business context
Connect the system to operating reality, constraints, incentives, and the outcome that matters.
AI system design
Shape model behavior, retrieval, evaluation, guardrails, and the right level of automation.
Product judgment
Design for clarity, usability, adoption, and the people who will work with the system every day.
Production engineering
Build for reliability, observability, cost control, integration, and a handoff the team can use.
Approximately 15 years across marketing, analytics, technology, and business operations.
Work directly with Morgan from the first process map through delivery, documentation, and handoff.
How Latent Builds approaches AI work
Start with the operating problem
Understand the work, constraints, and trade-offs before deciding what technology belongs in the solution.
Use AI where it improves the outcome
Choose the right intervention for each step, then test quality, cost, risk, and day-to-day usefulness with the people doing the work.
Build for reliability and adoption
Include integration, review controls, documentation, training, and everyday usability in the work.
Selected systems
Products built and shipped by Latent Builds. Each shows the level of product and engineering work brought to client projects.
a good place to start
The current workflow
The recurring friction
The outcome that matters
Have a process that should work better?
Bring the operating problem. The first step is to understand the work and decide what is worth pursuing.
Discuss a project