Applied AI
LLM workflows and tool-enabled systems
Designed AI systems around structured outputs, tool orchestration, workflow routing, and reviewable execution rather than one-shot prompting.
Matt Miller
Principal applied AI and platform engineering for real products, workflows, and production systems
I build AI-enabled products, workflow software, and operational systems that turn ambiguity into shipped software, durable tooling, and measurable business outcomes.
My background spans applied AI, LLM workflows, SaaS productization, mobile and web engineering, platform reliability, regulated systems, and founder-led 0-to-1 execution, with a strong bias toward concrete systems, production discipline, and business usefulness.
Best fit for principal applied AI, AI platform, founding engineer, staff/full-stack, product engineering, and technical lead roles where software, workflows, and real-world execution all need to line up.
Selected proof
Seniority, production range, and recent output
The current applied AI and platform work is backed by a long record of shipping software, founder execution, regulated delivery, and product ownership.
Applied AI and platform strengths
Built around practical AI, product judgment, and production ownership
Recent work focuses on software and workflows that make AI useful inside real products and operations.
Workflow software
Operator-facing product design
Built SaaS products that turn messy work into structured operator flows: qualification, proposal comparison, remediation queues, handoff, and decision support.
Platform engineering
Integrations, reliability, and production ops
Owned CI/CD, monitoring, alerting, caching, rate-limit handling, production safeguards, and incident-minded reliability across multiple systems and APIs.
0→1 delivery
Founder-level execution under ambiguity
Comfortable moving from idea to architecture to shipped product, including product framing, UX, implementation, deployment, and iteration.
Compliance-aware engineering
Audit-friendly and regulated environments
Built systems and workflows that hold up under operational pressure, external review, and certification-sensitive constraints.
Cross-stack breadth
Mobile, web, backend, cloud, and systems work
Hands-on across Flutter, React, PHP, Python, TypeScript, C++, cloud infrastructure, and more experimental systems projects when the work calls for it.
Current product suite
Recent properties built with AI-assisted workflows and full-stack execution
Recent work includes live sites, SaaS apps, product brands, and in-development systems, with public properties linked directly where useful.
Work shown here spans applied AI workflow software, decision-support tools, founder-led platforms, editorial commerce, and related product properties.
Flagship system
WorkflowFoundryLabs
Site App
Applied AI workflow platform and operator workspace for intake, qualification, discovery, scope, proposals, follow-up, and handoff.
Applied AIOperator workflowSaaSPlatform systems
Workflow SaaS
AISalesAutomator
Site App
Pipeline-review and remediation software for recurring CRM hygiene, sales-ops cleanup, and practical operator workflows — supported by a broader product/content funnel.
Sales opsAI workflowCSV ingestionSaaS
Decision-support SaaS
BetterMarketResearch
Site App
Buyer-side workspace for framing research decisions, comparing vendor proposals, surfacing unresolved questions, and producing recommendation-ready outputs.
Decision supportB2B workflowProposal comparisonSaaS
AppAssist brand
AppAssist
Site
Product umbrella and brand surface for app-focused properties, organizing multiple products under a more coherent studio-style identity.
AppAssist property
DealOps
App
Workflow software focused on deal and quoting operations, with production-minded app structure, onboarding, billing, data modeling, and telemetry.
AppAssist property
Golf Pools
App
Consumer/recreational product under the AppAssist umbrella, showing useful range beyond pure B2B workflow tooling.
Content commerce site
DealDomination
Site
Niche editorial and affiliate-commerce property focused on selective work-from-home and home-office buying guidance rather than generic deal spam.
Founder platform
RAADZ
Site App
Patented survey and engagement platform built from concept to scale, reaching 20k+ registered participants and supporting founder-led product, engineering, and operational growth.
Featured case studies
Representative work across AI systems, product software, and founder execution
The strongest examples combine product judgment, engineering execution, AI-enabled workflows, and real business constraints.
Applied AI operating system
OpenClaw AI operating system
Built a multi-agent AI control plane for operating and improving digital business workflows across publishing, browser automation, messaging, scheduling, and monetization workflows.
- Coordinator + specialist-agent architecture with clear operational boundaries
- Durable state, structured workflows, release discipline, and operator control
- Applied across multiple business properties rather than tied to a single product
Decision-support SaaS
BetterMarketResearch
Built buyer-side workflow software for briefing, proposal comparison, scoring, unresolved-question tracking, recommendation outputs, and reusable project history.
- App-first product ladder spanning software, templates, checklist, and educational content
- Structured decision-support UX rather than generic CRUD
- Strong example of turning a business workflow into real product software
Workflow SaaS
AISalesAutomator
Built a practical SaaS workflow for recurring pipeline review, issue detection, remediation prioritization, and better sales-process discipline.
- CSV upload and analysis workflow tied to real operating habits
- Auth, billing, state, analytics, and productized operator UX
- Supported by a broader site/resource/product ecosystem
Founder / principal engineer
RAADZ
Built and led a patented platform from concept to scale, raising capital, shipping the system end-to-end, and supporting a 20k+ participant user base.
- Founder-level ownership across product, engineering, and operations
- Strong proof of long-horizon execution and platform thinking
- Demonstrates that current AI/platform work sits on top of deep product-building experience
Regulated product engineering
Tour Trader Pro / Player Options
Built regulated sports and event wagering products across Flutter, React, PHP, SQL Server, and Azure, including two GLI-33-certified products.
- From idea to MVP in under two months for Tour Trader Pro
- Real-time pricing, API integrations, CI/CD, monitoring, and ops ownership
- Shows execution in high-stakes, audit-sensitive production environments
Consumer mobile product
mBark
Built an end-to-end Flutter MVP for dog-friendly discovery, including map/list search, favorites, reviews, rewards features, and backend/service integration.
- Launched quickly with strong focus on usable browse and discovery flows
- Good proof of consumer-facing product UX and rapid iteration
- Reinforces breadth beyond dashboards and workflow tooling
Product visuals
Shipped products, not just claims
Representative screens from workflow SaaS, founder-led platforms, and earlier production mobile products.
WorkflowFoundryLabs
Operator workspace for qualification, discovery, scope, proposals, follow-up, and handoff in owner-led service businesses.
AISalesAutomator
Pipeline review and remediation software focused on recurring sales-ops discipline and prioritized cleanup.
Player Options
Regulated mobile product with data-dense views, strong hierarchy, and live-state scanability.
mBark
Consumer mobile experience for location-based discovery, place detail, and structured browsing flows.
RAADZ
Founder-built research and engagement platform with stronger methodology-led positioning and product maturity.
Golf Pools
Admin workflow for a consumer/recreational product, showing useful range beyond pure B2B software.
Role fit
A strong fit when the job needs more than one lane
The consistent pattern across the work is connecting product judgment, engineering execution, AI workflows, and production reality instead of treating them as separate jobs.
Principal applied AI
Comfortable building AI-enabled systems around workflows, tools, safeguards, and actual operator value.
Founder-minded builder
Strong in 0-to-1 work, ambiguity reduction, product shaping, and getting something real shipped.
Platform + product bridge
Can move between architecture, backend, UX, operations, and delivery without losing coherence.
Production credibility
Useful where integrations, observability, reliability, and operational follow-through actually matter.
Production credibility
More than product ideas — real systems, reliability, and operational ownership
I’m comfortable owning the surrounding system as well as the product itself: integrations, deployment, observability, guardrails, and production follow-through.
Production ops
CI/CD, alerting, monitoring, release workflows, and operational support under live conditions.
Integrations
External APIs, auth, billing, payments, telemetry, cloud services, and messaging/browser-driven workflows.
Reliability patterns
Caching, rate-limit handling, workflow safeguards, deterministic release steps, and reviewable systems behavior.
Regulated delivery
Audit-friendly systems and workflows in certification-sensitive product environments.
How I operate
Product-minded engineering with founder-level ownership
I’m strongest where there’s real ambiguity, real stakes, and a need for someone who can connect product decisions to technical execution without getting lost in silos.
I like building systems that work in context — with product constraints, operational reality, customer needs, and business goals all pulling at the same time. That usually means a mix of architecture, UX, implementation, workflow design, integrations, release discipline, and iteration.
I’m most useful when the problem is bigger than one lane: when a team needs someone who can clarify the direction, ship the product, connect the moving parts, and make the system genuinely useful.
Core strengths
Applied AI, LLM workflows, full-stack product engineering, workflow software, SaaS productization, platform reliability, API-heavy systems, regulated-product delivery, and founder-style 0-to-1 execution.
Best-fit environments
Applied AI teams, product/platform groups, startups, principal/staff-level engineering orgs, and businesses that need practical ownership rather than narrow lane execution.
Why teams tend to want me
I can move between idea, architecture, product, implementation, and production operations — and I’m comfortable making the messy middle actually work.
Earlier and additional work
Long-term builder track record
The current AI and platform work builds on a much longer pattern of shipping useful systems across different eras, stacks, and product shapes.
Embedded / industrial software
Boss Industries
Built B-CAN control software in C++ for under-deck PTO air compressor systems, combining embedded control logic, diagnostics, and rugged field-facing workflows.
Early e-commerce
Custom PC ordering website
Built a custom e-commerce site in high school where customers could configure and order PCs end to end, with order details flowing through to fulfillment.
Early crypto automation
Bitcoin roulette website
Built a Bitcoin gambling site that monitored blockchain activity for incoming bets, evaluated outcomes, and automatically returned winnings to the originating address.
Applied ML
Stock trading bot
Built a Python trading bot using Alpaca API and machine learning across 20+ technical indicators, including backtesting, evaluation, execution logic, and reporting.
AI dev tooling
AI coding and development automation
Built AI-assisted development tooling for project analysis, recommendations, structured outputs, software updates, and human-reviewed development workflows.
Current R&D
Gang Wars and BoomOS
Ongoing experimental work spanning deterministic multiplayer game systems, mobile gameplay prototypes, and an AI-native OS / systems architecture concept.
Contact
Let’s talk
Especially relevant for principal applied AI, AI platform, founding engineer, staff/full-stack, product engineering, and technical lead opportunities.