Doug Mealing
Engineering Leadership · Platform Modernization · AI-First Development
SVP Product Delivery at CareMetx · Building Party Lore, MetaObjects, and Draagon AI · 25+ Years Senior Technology Leadership
Currently at
Engineering Leadership · Platform Modernization · AI-First Development
SVP Product Delivery at CareMetx · Building Party Lore, MetaObjects, and Draagon AI · 25+ Years Senior Technology Leadership
Technology executives can build impressive systems or they can build business value. Those aren't always the same thing.
25+ years translating what a business actually needs into what engineering actually builds — and course-correcting when those two things drift apart.
I operate across the full stack of what that requires: setting technology strategy with the C-suite and board, making hard calls on platform architecture, building and developing engineering organizations, and staying close enough to the technical work to know when a problem is real versus a preference dressed up as complexity.
My current focus is healthcare technology — the patient access infrastructure that helps patients navigate insurance, prior auth, and specialty pharmacy so they can get on therapy. I'm an active practitioner of AI-assisted development and have built it into how my engineering organization works as a core productivity multiplier.
I translate what a business actually needs into what engineering actually builds — and course-correct when those two things drift apart.
Technology decisions documented to acquirer-defensible standards. M&A integration and due diligence is something I do as a matter of course.
AI-assisted development embedded across my engineering organizations as a core productivity multiplier — not a novelty bolted onto a process.
US20200364191A1 — Systems and Methods for Producing Incremental Revised Content. The first implementation was built on MetaObjects.
AI products on metadata-driven foundations — solo-built and vibe-coded with Claude end-to-end. Every project below, plus the operations behind them, runs through agentic AI. One person can ship this many things because the entire workflow is AI-first.
The metadata foundation for AI-first development.
Metadata-driven development platform I built in 2001. Quietly powered my consulting projects and customer engagements for two decades. Never marketed externally — until now. AI drift made it essential.
In production since 2001. Rebuilding TypeScript-first.
Cognitive architecture with persistent memory.
Build agents that learn. Four memory layers, contradiction detection, energy-based decision scoring.
In closed development
AI Game Master, multi-player, in Discord.
Async multi-player RPG where an AI Game Master runs the scene. Expanding into education with LTI integration.
Private beta · By Draagon
AI poker arena where frontier models compete.
Live leaderboard, hand replays, AI-generated scouting reports. MCP + REST API. Resurrected from a 20-year-old battle-tested poker engine.
Public arena live · By Draagon
Training platform for Animal Flow.
Modern training and subscription platform for my friend and personal trainer, Michael Frank. The first reference project for the new TypeScript MetaObjects — Turborepo monorepo, React 19, Fastify API, Drizzle ORM.
First TypeScript MetaObjects reference · Live
My home AI assistant on Draagon AI.
Personal project: replacing Alexa with a voice assistant that runs on Draagon AI tech. Smart home, calendar, web search, self-improvement loop.
Personal project · Built on Draagon AI
Spotlight · Currently in Beta
An AI Game Master for async multi-player storytelling in Discord — across genres, in education, and soon for creators.
Essays on AI-first development, metadata-driven architecture, and what I'm building.
Most teams ship their LLM prompts as strings — assembled imperatively, scattered across services, untested, bloating token cost no one can see. MetaObjects 7.0.0 makes the prompt a declared, deterministic, testable artifact: snapshot-testable, cache-stable, and drift-checked at build time. The prompt is code, so treat it like code.
Context engineering, schema-driven agent design, knowledge-graph grounding, the Model Context Protocol — the AI industry is building useful pieces. None of them is the architectural layer the problem actually needs.
I built MetaObjects in 2001 to generate an entire application stack from one metadata model. I set it aside in 2022 — partly because I'd moved into bigger leadership roles, partly because low-code platforms like Boomi and OutSystems were doing similar work. Then I watched AI drift wreck consistency across my own side projects and at CareMetx, and realized metadata is the spine AI was always missing.
Leading engineering at scale across healthcare, education, and finance.
Where 25 years of engineering leadership lands.
A few platforms that mattered.
Content deployment pipeline that treated content like source code — advanced merging, real-time preview, regenerated derivative artifacts. The first implementation leveraged MetaObjects and became my issued US patent.
ONC-ATCB certified platform meeting the Meaningful Use Stage 1 objective for reporting clinical quality measures to CMS. Built on SOLID and model-driven development principles.
Web 2.0 secure messaging and digital contract platform with a full RESTful integration suite. Patent-pending platform technology built around secure exchange of confidential information.
Pharmaceutical regulatory submission platforms — registration tracking, eCTD viewer for cross-functional review of regulatory content.
Full-lifecycle development of an online poker platform serving 50K+ concurrent users at 99.9% uptime. The engine survived and is the basis of FeltBots today — frontier AI models compete on the same battle-tested poker substrate.
Founded and operated a near-shore software development center serving the gaming and financial services industries — built and licensed proprietary software products from the ground up.
Software for testing submarine propellers and torpedoes in a three-story water tunnel. Pulled data from probes in the water, computed 3D velocity vectors, and rendered the flow in a real-time 3D display.
I enjoy conversations about engineering leadership, platform modernization, AI-first development, and healthcare technology. Drop me a note.