Cyber wizard command center
Brian Strickland
AI Automation Architect · Platform Builder · Cybersecurity-Minded Systems Designer
I design and build practical AI-enabled systems across ServiceNow, Azure, APIM, MCP, Copilot Studio, local models, and automation platforms. My focus is turning messy workflows into governed, reusable patterns that teams can actually operate.
Command Center
Professional systems, hands-on builder discipline.
I work at the pattern level: architecture that can be governed, observed, reused, and explained to real teams.
What I Build
Systems that make AI useful, governed, and operational.
Enterprise AI Platforms
Governed AI gateways, model access patterns, APIM, identity-aware integrations, observability, and reusable platform services.
Agentic Workflows
Assistants, orchestration patterns, MCP servers, ServiceNow tools, Copilot Studio, and systems that safely act in platforms of record.
Local AI + Home Lab
Local models, private agents, Raspberry Pi experiments, Home Assistant, personal automation, and offline/local-first AI patterns.
Cybersecurity + Architecture
Security-minded design, privacy boundaries, identity, governance, risk reduction, and practical controls for real systems.
Featured Builds
Architecture patterns, local experiments, and personal systems.
Enterprise AI / Architecture
AI Integration Layer
A practical architecture pattern for routing AI-enabled workflows through governed APIs, reusable prompts, policy enforcement, and observable integration points.
Enterprise AI / Architecture
ServiceNow AI Assistant Patterns
Experiments and architecture patterns for connecting natural-language assistants to ITSM workflows while preserving identity, permissions, and auditability.
Enterprise AI / Architecture
APIM / MCP Gateway Experiments
Research and prototypes around exposing enterprise APIs as agent-consumable tools through gateway patterns, policies, and structured contracts.
Enterprise AI / Architecture
Prompt-as-a-Service
A reusable pattern for turning repeatable AI tasks into governed services with stable contracts, configuration, and routing.
Personal Systems
Thor Stack
A local-first AI fitness and health system for logging workouts in natural language, tracking progress, and experimenting with personal AI coaching patterns.
Local AI / Home Lab
Hermes
A home AI assistant and local orchestration layer for experimenting with private agents, home automation, personal workflows, and skill-based tool use.
Personal Systems
Grocery Capture Assistant
A household automation project for capturing grocery requests from natural language and turning them into structured lists and repeatable routines.
Writing / Learning / Experiments
AI Quick Feeds
Short daily AI updates for fast readers, built around summarization, curation, and lightweight publishing patterns.
Writing / Learning / Experiments
WordPress for Everyone
An Azure-based self-service site generator focused on making website creation more accessible and repeatable.
Writing / Learning / Experiments
Great Thoughts Treasury
A large quote and author collection rebuilt across generations of web architecture, from Drupal roots to microservice experiments.
Cybersecurity + Learning
False Incident Finder
A machine-learning exploration of ticket classification and signal detection, presented as a research artifact.
Cybersecurity + Learning
MEN Injection Guard
A NoSQL injection scanner concept for the MEN stack, built as a security research and learning project.
Quest Log
The workbench behind the work.
Build practical enterprise AI architecture
Design patterns, platforms, and workflows that let teams use AI safely and productively in real systems.
Thor Mode
Build a local-first AI workout and health system that turns fitness tracking into a personal operating system.
Hermes Home Lab
Experiment with local agents, private automation, Raspberry Pi systems, home assistant tooling, and offline-first AI patterns.
Gaming Worlds & Systems Thinking
Use RPGs, skill trees, quests, progression systems, and world-building as inspiration for better software and personal systems.
Cybersecurity Mastery
Apply security, privacy, identity, and governance thinking to every AI and automation pattern.
Skill Tree
Branches I keep leveling.
A compact map of the capabilities I combine when I design, secure, and build AI-enabled systems.
AI Systems Architecture
Governed automation, secure integration, practical agents, and hands-on execution.
AI Architecture
- LLM integration
- agent patterns
- MCP
- prompt-as-a-service
- model routing
- evaluations
- AI gateways
- orchestration
Platforms
- Azure
- Azure API Management
- ServiceNow
- Copilot Studio
- Power Platform
- Teams
- CI/CD
- Docker
- APIs
Security
- CISSP
- Security+
- identity
- governance
- privacy
- secure integration patterns
- risk reduction
- auditability
Builder Stack
- TypeScript
- Python
- Node.js
- APIs
- Docker
- SQLite
- local LLMs
- Raspberry Pi
- home lab systems
Personal Systems
- Thor workout tracker
- home automation
- local agents
- gaming-inspired productivity
- natural-language logging
- personal dashboards
Systems Thinking
Games as architecture practice.
I enjoy RPGs and systems-heavy games because they mirror how I think about architecture: progression, constraints, skill trees, quests, feedback loops, and world-building. Games like Skyrim, Elder Scrolls, Baldur's Gate 3, Diablo, Zelda, Mario, and Nintendo history influence how I think about personal systems, automation, and learning paths.
Training Module
Thor Mode
A local-first AI fitness and personal operating system.
Thor Stack is my experiment in turning workouts, health habits, and progress tracking into a structured personal system. The goal is to log activity naturally, track progress over time, and explore how local AI, APIs, and personal data can support better training without giving up ownership of the data.
Education
Academic foundation.
M.S. Cyber Security and Privacy
University of Central Florida
M.S. Computer Science
University of Central Florida
B.S. Computer Science
University of Central Florida
Certifications
Security and delivery credentials.
Dispatches
Field Notes
Notes from an architect-builder: experiments, repairs, security learning, and the occasional hard-won deployment lesson.
Open Channel
Let's connect around practical AI systems.
I'm interested in AI architecture, automation platforms, cybersecurity-minded integration, local AI experiments, and systems that help people get real work done.