Production AI workflows
Multi-stage document processing, structured outputs, evaluation harnesses, durable execution, source traceability, and expert review.
About
Engineering judgment stays in the loop.
Core Innovation helps teams move beyond AI demos without trading away correctness, traceability, or operational ownership.
Founder
Direct engineering support from diagnosis through handoff.
Based in Atlanta, Brian Dunams has more than eight years of experience building healthcare products, distributed platform systems, and production AI workflows. He works directly on every Core Innovation engagement, keeping technical context and accountability close to the work.
View Brian's portfolioExperience
Built around the parts that make AI useful after the demo.
Platform engineering
Distributed systems, backend APIs, data workflows, caching, queues, observability, migrations, and production reliability.
Healthcare software
Eight years across healthcare research, veterinary systems, payment workflows, and high-trust operational software.
Working principles
Capability is useful only when the system stays understandable.
- Define the outcome before choosing the model.
- Verify with representative cases, not demos.
- Keep humans at consequential decision points.
- Treat structured outputs and failure handling as product behavior.
- Prefer the smallest architecture that can meet the operational requirement.
- Leave the client's team able to understand and own the system.
Founder-built product · IN BETA
Meshgate turns agent governance into an operating layer.
Brian independently designed and built Meshgate, a governance and evidence platform for AI-agent communication. It combines governed inboxes, content-risk screening, human approval, policy enforcement, and audit trails in a shared control model spanning email, SMS, and voice.
Explore Meshgate