Applied AI systems · AI Enthusiast Daily
AI that catches its own mistakes.
I help teams turn brittle AI steps into systems that flag what they get wrong before it reaches a customer — so you can see exactly where the model stopped, and why.
Services
Three entry points from real project work.
Start with the stage you are actually in: diagnosis, build, or hardening. Each path keeps the system practical: typed output, validation, repair behavior, and safe downstream action.
Use cases
Where this work shows up in practice.
These are the kinds of messy, high-variance problems I can help with: documents that need review, video that needs interpretation, and physical environments that need better decisions.
Healthcare intake and exceptions
Turn packets, referrals, attachments, and follow-up notes into structured fields, missing-item checks, and review queues.
See healthcare workflowInsurance evidence review
Extract claim details, compare supporting evidence against rules, and flag cases that need human judgment.
See review workflowBasketball video intelligence
Track players across footage, convert movement into usable signals, and support coaching or analytics workflows.
See video workflowTelecom-style placement optimization
Analyze rooms, obstructions, and placement options to improve equipment coverage and installation decisions.
See spatial workflowProof and articles
Inspect the work before you book.
Start with concrete examples, written breakdowns, and service outputs when you want evidence before starting a call.
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Want practical examples as I publish them?
I write about applied AI systems across workflow automation, document understanding, computer vision, and operations. If you already have a concrete project, book a call instead.
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