Copilot Agent Task — Add “Systems of Meaning” Blog at /blog/
Copilot Agent Task — Add “Systems of Meaning” Blog at /blog/
Repository:steven-tomlinson/steventomlinson.dev Branch:feature/blog-systems-of-meaning PR title:feat(blog): add Systems of Meaning blog section Goal: Add a Jekyll-powered blog at /blog/ while keeping the existing homepage and styling intact.
Execution Rules
Non-destructive: Do not delete or rename existing files; only add or minimally append.
Idempotent: Re-running must not duplicate links or posts.
Build-safe: Use only GitHub Pages–supported plugins (jekyll-seo-tag, jekyll-sitemap, jekyll-feed).
Styling: If assets/css/style.css exists, append styles at the end; otherwise create the file.
Navigation: Add a “Blog” link to the header if not already present.
Homepage teaser: Append a “Latest from the Blog” teaser only if the homepage is Markdown or has a safe place in HTML.
Acceptance Criteria
/ (homepage) unchanged except for an optional blog teaser.
/blog/ exists and lists posts.
Individual posts render with post layout and dates.
Global nav includes “Blog” (desktop + mobile, where applicable).
GitHub Pages build passes (no plugin errors).
Sitemap/feed updated (if plugins present).
Commit Strategy
chore(jekyll): ensure _config.yml and base layouts
feat(blog): add Systems of Meaning /blog/ with initial posts
feat(nav): add Blog link and homepage teaser
docs: add README notes for blog publishing workflow (optional)
Files to Create or Update
Apply the blocks below exactly as named. If a target file already exists, merge keys/content—do not overwrite unrelated content.
Copilot Agent Task — Add “Systems of Meaning” Blog at /blog/ | Steven TomlinsonCopilot Agent Task — Add “Systems of Meaning” Blog at /blog/ | Steven Tomlinson
I am a senior software solution architect with more than 30 years of professional experience designing, building, modernizing, and operating complex software systems.
My career spans enterprise platforms, developer tooling, distributed systems, data-intensive applications, and emerging decentralized infrastructure. I have worked across Microsoft and Linux ecosystems, from early client/server architectures through modern cloud-native and protocol-driven systems.
What distinguishes my work is not familiarity with tools, but architectural judgment — knowing which decisions matter, when they matter, and how long teams will live with them.
What I Do
I help organizations design systems that:
Remain understandable as they scale
Survive personnel and technology change
Integrate legacy and modern platforms safely
Treat identity, data, and trust as first-class concerns
My role often sits between engineering leadership, security, and delivery teams — translating business ambiguity into technical structure that engineers can execute without constant re-interpretation.
Architectural Domains
Over the course of my career, I have designed and delivered systems across:
Identity and access management (authentication, authorization, trust boundaries)
Data-centric systems (relational, document, event-driven)
Developer platforms and reusable frameworks
Hybrid and distributed architectures, including protocol- and blockchain-backed systems
Modernization initiatives spanning decades-old systems and contemporary platforms
I am equally comfortable working at whiteboard, codebase, and operational levels — and I expect architectures to survive contact with reality.
AI & Emerging Technologies
My recent focus includes the architectural implications of generative AI, agent-based systems, and decentralized infrastructure.
I approach these domains not as consumer tools, but as architectural forces that alter system boundaries, governance models, and long-term sustainability.
Key areas of active work:
AI Agent Systems — Understanding how generative and agent-based AI reshapes system design, operational boundaries, and organizational governance
Decentralized Finance & Protocol Infrastructure — Developing architectural fluency in trust models, financial primitives, and enterprise integration patterns
AI Portfolio & Research — Maintaining an active portfolio of certification labs, experiments, and reference implementations
Protocol Engineering — Building secure, verifiable systems including the Lockb0x Codex Forge Chrome extension for digital provenance
These efforts are documented through formal certifications and coursework through Google Cloud AI certification, Microsoft Azure AI Foundry, Duke University, MIT, Berkeley and are applied to practical system implementations — not just theoretical exploration.
For detailed information on certifications and coursework, see my Continuing Education page.
Architectural Philosophy
I do not treat architecture as diagrams or abstractions.
I treat it as decision-making under constraint.
Good architecture answers hard questions early:
What must not fail
What must scale
What must remain flexible over time
What can be allowed to change — and what cannot
My approach favors explicit boundaries, predictable failure modes, and systems that can evolve without rewrites.
Public Work & Reference Implementations
My public repositories and projects are intentionally architectural in nature.
They emphasize:
Reference architectures over demos
Reusable system components over one-off solutions
Explicit handling of identity, trust, and integration boundaries
I work best with teams facing complexity, scale, or long-term responsibility.
My contribution is rarely just code — it is helping teams understand:
Which problems are real
Which problems are premature
Which problems are inevitable
The goal is not architectural purity, but systems teams can live with for years.
layout: default
—
Copilot Agent Task — Add “Systems of Meaning” Blog at /blog/
Steven B. Tomlinson
Senior Software Solution Architect
Las Vegas, NV
Overview
I am a senior software solution architect with more than 30 years of professional experience designing, building, modernizing, and operating complex software systems.
My career spans enterprise platforms, developer tooling, distributed systems, data-intensive applications, and emerging decentralized infrastructure. I have worked across Microsoft and Linux ecosystems, from early client/server architectures through modern cloud-native and protocol-driven systems.
What distinguishes my work is not familiarity with tools, but architectural judgment — knowing which decisions matter, when they matter, and how long teams will live with them.
What I Do
I help organizations design systems that:
Remain understandable as they scale
Survive personnel and technology change
Integrate legacy and modern platforms safely
Treat identity, data, and trust as first-class concerns
My role often sits between engineering leadership, security, and delivery teams — translating business ambiguity into technical structure that engineers can execute without constant re-interpretation.
Architectural Domains
Over the course of my career, I have designed and delivered systems across:
Identity and access management (authentication, authorization, trust boundaries)
Data-centric systems (relational, document, event-driven)
Developer platforms and reusable frameworks
Hybrid and distributed architectures, including protocol- and blockchain-backed systems
Modernization initiatives spanning decades-old systems and contemporary platforms
I am equally comfortable working at whiteboard, codebase, and operational levels — and I expect architectures to survive contact with reality.
AI & Emerging Technologies
My recent focus includes the architectural implications of generative AI, agent-based systems, and decentralized infrastructure.
I approach these domains not as consumer tools, but as architectural forces that alter system boundaries, governance models, and long-term sustainability.
Key areas of active work:
AI Agent Systems — Understanding how generative and agent-based AI reshapes system design, operational boundaries, and organizational governance
Decentralized Finance & Protocol Infrastructure — Developing architectural fluency in trust models, financial primitives, and enterprise integration patterns
AI Portfolio & Research — Maintaining an active portfolio of certification labs, experiments, and reference implementations
Protocol Engineering — Building secure, verifiable systems including the Lockb0x Codex Forge Chrome extension for digital provenance
These efforts are documented through formal certifications and coursework through Google Cloud AI certification, Microsoft Azure AI Foundry, Duke University, MIT, Berkeley and are applied to practical system implementations — not just theoretical exploration.
For detailed information on certifications and coursework, see my Continuing Education page.
Architectural Philosophy
I do not treat architecture as diagrams or abstractions.
I treat it as decision-making under constraint.
Good architecture answers hard questions early:
What must not fail
What must scale
What must remain flexible over time
What can be allowed to change — and what cannot
My approach favors explicit boundaries, predictable failure modes, and systems that can evolve without rewrites.
Public Work & Reference Implementations
My public repositories and projects are intentionally architectural in nature.
They emphasize:
Reference architectures over demos
Reusable system components over one-off solutions
Explicit handling of identity, trust, and integration boundaries
I work best with teams facing complexity, scale, or long-term responsibility.
My contribution is rarely just code — it is helping teams understand:
Which problems are real
Which problems are premature
Which problems are inevitable
The goal is not architectural purity, but systems teams can live with for years.
layout: default
—
Copilot Agent Task — Add “Systems of Meaning” Blog at /blog/
Steven B. Tomlinson
Senior Software Solution Architect
Las Vegas, NV
Overview
I am a senior software solution architect with more than 30 years of professional experience designing, building, modernizing, and operating complex software systems.
My career spans enterprise platforms, developer tooling, distributed systems, data-intensive applications, and emerging decentralized infrastructure. I have worked across Microsoft and Linux ecosystems, from early client/server architectures through modern cloud-native and protocol-driven systems.
What distinguishes my work is not familiarity with tools, but architectural judgment — knowing which decisions matter, when they matter, and how long teams will live with them.
What I Do
I help organizations design systems that:
Remain understandable as they scale
Survive personnel and technology change
Integrate legacy and modern platforms safely
Treat identity, data, and trust as first-class concerns
My role often sits between engineering leadership, security, and delivery teams — translating business ambiguity into technical structure that engineers can execute without constant re-interpretation.
Architectural Domains
Over the course of my career, I have designed and delivered systems across:
Identity and access management (authentication, authorization, trust boundaries)
Data-centric systems (relational, document, event-driven)
Developer platforms and reusable frameworks
Hybrid and distributed architectures, including protocol- and blockchain-backed systems
Modernization initiatives spanning decades-old systems and contemporary platforms
I am equally comfortable working at whiteboard, codebase, and operational levels — and I expect architectures to survive contact with reality.
AI & Emerging Technologies
My recent focus includes the architectural implications of generative AI, agent-based systems, and decentralized infrastructure.
I approach these domains not as consumer tools, but as architectural forces that alter system boundaries, governance models, and long-term sustainability.
Key areas of active work:
AI Agent Systems — Understanding how generative and agent-based AI reshapes system design, operational boundaries, and organizational governance
Decentralized Finance & Protocol Infrastructure — Developing architectural fluency in trust models, financial primitives, and enterprise integration patterns
AI Portfolio & Research — Maintaining an active portfolio of certification labs, experiments, and reference implementations
Protocol Engineering — Building secure, verifiable systems including the Lockb0x Codex Forge Chrome extension for digital provenance
These efforts are documented through formal certifications and coursework through Google Cloud AI certification, Microsoft Azure AI Foundry, Duke University, MIT, Berkeley and are applied to practical system implementations — not just theoretical exploration.
For detailed information on certifications and coursework, see my Continuing Education page.
Architectural Philosophy
I do not treat architecture as diagrams or abstractions.
I treat it as decision-making under constraint.
Good architecture answers hard questions early:
What must not fail
What must scale
What must remain flexible over time
What can be allowed to change — and what cannot
My approach favors explicit boundaries, predictable failure modes, and systems that can evolve without rewrites.
Public Work & Reference Implementations
My public repositories and projects are intentionally architectural in nature.
They emphasize:
Reference architectures over demos
Reusable system components over one-off solutions
Explicit handling of identity, trust, and integration boundaries
layout: post
title: “Metaverse Standard Time: A Temporal Framework for the Open Metaverse”
tags: [code, world, lamina1, open-metaverse, standards]
—
🕰️ Metaverse Standard Time: A Temporal Framework for the Open Metaverse
In the physical world, time is fragmented—divided by zones and distorted by daylight saving.
In the metaverse, such fragmentation becomes a liability.
Metaverse Standard Time (MST) proposes a unified temporal layer for persistent, interoperable, creator-driven worlds—aligned with Neal Stephenson’s metaverse vision and Lamina1’s mission.
Core Principles
Universal (single reference, no DST)
Persistent (reliable logging and governance)
Creator-centric (simplifies scheduling across platforms)
Interoperable (open-standards friendly)
(Full white paper follows… replace with your finalized content as needed.)
layout: post
title: “Welcome to Systems of Meaning”
tags: [self, intro, blog]
—
Systems of Meaning is my consolidated blog where code, story, and independence meet.
Code: posts on verifiable systems, identity, and decentralized infra
World: transmissions from the Node_Zero / Whispering Code universe
Self: notes on focus, craft, and staying small with intent
Expect one post per week, rotating pillars, plus occasional hybrid essays.
Optional Homepage Teaser (apply only if safe)
If homepage is Markdown (index.md or README.md), append:
Post-PR Validation
• Confirm /blog/ lists both new posts.
• Confirm individual posts render with title and date.
• Confirm header nav “Blog” link appears and works.
• Confirm GitHub Pages build passes without plugin errors.
• Confirm sitemap and feed include blog URLs.
🧩 One-liner to run in Copilot Agent
After committing COPILOT_TASK.md to your repo, open the Copilot Agent for this repository and paste:
@copilot Open and execute COPILOT_TASK.md: create branch feature/blog-systems-of-meaning, apply all named file blocks exactly, merge configs non-destructively, commit per the strategy, and open a PR titled feat(blog): add Systems of Meaning blog section. Validate the build and include a checklist of the Acceptance Criteria in the PR body.
Copilot Agent Task — Add “Systems of Meaning” Blog at /blog/ | Steven TomlinsonCopilot Agent Task — Add “Systems of Meaning” Blog at /blog/ | Steven Tomlinson
I am a senior software solution architect with more than 30 years of professional experience designing, building, modernizing, and operating complex software systems.
My career spans enterprise platforms, developer tooling, distributed systems, data-intensive applications, and emerging decentralized infrastructure. I have worked across Microsoft and Linux ecosystems, from early client/server architectures through modern cloud-native and protocol-driven systems.
What distinguishes my work is not familiarity with tools, but architectural judgment — knowing which decisions matter, when they matter, and how long teams will live with them.
What I Do
I help organizations design systems that:
Remain understandable as they scale
Survive personnel and technology change
Integrate legacy and modern platforms safely
Treat identity, data, and trust as first-class concerns
My role often sits between engineering leadership, security, and delivery teams — translating business ambiguity into technical structure that engineers can execute without constant re-interpretation.
Architectural Domains
Over the course of my career, I have designed and delivered systems across:
Identity and access management (authentication, authorization, trust boundaries)
Data-centric systems (relational, document, event-driven)
Developer platforms and reusable frameworks
Hybrid and distributed architectures, including protocol- and blockchain-backed systems
Modernization initiatives spanning decades-old systems and contemporary platforms
I am equally comfortable working at whiteboard, codebase, and operational levels — and I expect architectures to survive contact with reality.
AI & Emerging Technologies
My recent focus includes the architectural implications of generative AI, agent-based systems, and decentralized infrastructure.
I approach these domains not as consumer tools, but as architectural forces that alter system boundaries, governance models, and long-term sustainability.
Key areas of active work:
AI Agent Systems — Understanding how generative and agent-based AI reshapes system design, operational boundaries, and organizational governance
Decentralized Finance & Protocol Infrastructure — Developing architectural fluency in trust models, financial primitives, and enterprise integration patterns
AI Portfolio & Research — Maintaining an active portfolio of certification labs, experiments, and reference implementations
Protocol Engineering — Building secure, verifiable systems including the Lockb0x Codex Forge Chrome extension for digital provenance
These efforts are documented through formal certifications and coursework through Google Cloud AI certification, Microsoft Azure AI Foundry, Duke University, MIT, Berkeley and are applied to practical system implementations — not just theoretical exploration.
For detailed information on certifications and coursework, see my Continuing Education page.
Architectural Philosophy
I do not treat architecture as diagrams or abstractions.
I treat it as decision-making under constraint.
Good architecture answers hard questions early:
What must not fail
What must scale
What must remain flexible over time
What can be allowed to change — and what cannot
My approach favors explicit boundaries, predictable failure modes, and systems that can evolve without rewrites.
Public Work & Reference Implementations
My public repositories and projects are intentionally architectural in nature.
They emphasize:
Reference architectures over demos
Reusable system components over one-off solutions
Explicit handling of identity, trust, and integration boundaries
I work best with teams facing complexity, scale, or long-term responsibility.
My contribution is rarely just code — it is helping teams understand:
Which problems are real
Which problems are premature
Which problems are inevitable
The goal is not architectural purity, but systems teams can live with for years.
---
```html name=_layouts/page.html
---
layout: default
---
<article class="page">
<h1>Copilot Agent Task — Add “Systems of Meaning” Blog at /blog/</h1>
<article class="page">
<h1>Steven B. Tomlinson</h1>
<div style="text-align:center; margin-top:2rem;">
<img src="steven-tomlinson-profile.jpeg" alt="Steven B. Tomlinson profile picture" style="width:140px;height:140px;
border-radius:50%;
border:3px solid #23395d;
box-shadow:0 0 32px #0ff8, 0 2px 8px #000a;
object-fit:cover;
margin:1.5rem auto;
display:block;
background:#222;" />
<p style="font-size:1.15rem; color:#c5c6c7; margin-top:0;">
Senior Software Solution Architect
</p>
<p style="font-size:1rem; color:#9fa1a3;">
Las Vegas, NV
</p>
</div>
<hr />
<h2 id="overview">Overview</h2>
<p>I am a <strong>senior software solution architect</strong> with more than <strong>30 years of professional experience</strong> designing, building, modernizing, and operating complex software systems.</p>
<p>My career spans enterprise platforms, developer tooling, distributed systems, data-intensive applications, and emerging decentralized infrastructure. I have worked across <strong>Microsoft and Linux ecosystems</strong>, from early client/server architectures through modern cloud-native and protocol-driven systems.</p>
<p>What distinguishes my work is not familiarity with tools, but <strong>architectural judgment</strong> — knowing which decisions matter, when they matter, and how long teams will live with them.</p>
<hr />
<h2 id="what-i-do">What I Do</h2>
<p>I help organizations design systems that:</p>
<ul>
<li>Remain understandable as they scale</li>
<li>Survive personnel and technology change</li>
<li>Integrate legacy and modern platforms safely</li>
<li>Treat identity, data, and trust as first-class concerns</li>
</ul>
<p>My role often sits between engineering leadership, security, and delivery teams — translating business ambiguity into technical structure that engineers can execute without constant re-interpretation.</p>
<hr />
<h2 id="architectural-domains">Architectural Domains</h2>
<p>Over the course of my career, I have designed and delivered systems across:</p>
<ul>
<li><strong>Enterprise application architecture</strong> (ASP.NET, distributed services, integration layers)</li>
<li><strong>Identity and access management</strong> (authentication, authorization, trust boundaries)</li>
<li><strong>Data-centric systems</strong> (relational, document, event-driven)</li>
<li><strong>Developer platforms and reusable frameworks</strong></li>
<li><strong>Hybrid and distributed architectures</strong>, including protocol- and blockchain-backed systems</li>
<li><strong>Modernization initiatives</strong> spanning decades-old systems and contemporary platforms</li>
</ul>
<p>I am equally comfortable working at whiteboard, codebase, and operational levels — and I expect architectures to survive contact with reality.</p>
<hr />
<h2 id="ai--emerging-technologies">AI & Emerging Technologies</h2>
<p>My recent focus includes the architectural implications of generative AI, agent-based systems, and decentralized infrastructure.</p>
<p>I approach these domains not as consumer tools, but as <strong>architectural forces</strong> that alter system boundaries, governance models, and long-term sustainability.</p>
<p>Key areas of active work:</p>
<ul>
<li><strong>AI Agent Systems</strong> — Understanding how generative and agent-based AI reshapes system design, operational boundaries, and organizational governance</li>
<li><strong>Decentralized Finance & Protocol Infrastructure</strong> — Developing architectural fluency in trust models, financial primitives, and enterprise integration patterns</li>
<li><strong>AI Portfolio & Research</strong> — Maintaining an <a href="https://github.com/steven-tomlinson/ai-portfolio">active portfolio</a> of certification labs, experiments, and reference implementations</li>
<li><strong>Protocol Engineering</strong> — Building secure, verifiable systems including the <a href="https://github.com/steven-tomlinson/lockbox-codex-forge">Lockb0x Codex Forge</a> Chrome extension for digital provenance</li>
</ul>
<p>These efforts are documented through formal certifications and coursework through Google Cloud AI certification, Microsoft Azure AI Foundry, Duke University, MIT, Berkeley and are applied to practical system implementations — not just theoretical exploration.</p>
<p>For detailed information on certifications and coursework, see my <a href="/continuing-education.html">Continuing Education</a> page.</p>
<hr />
<h2 id="architectural-philosophy">Architectural Philosophy</h2>
<p>I do not treat architecture as diagrams or abstractions.
I treat it as <strong>decision-making under constraint</strong>.</p>
<p>Good architecture answers hard questions early:</p>
<ul>
<li>What <strong>must not fail</strong></li>
<li>What <strong>must scale</strong></li>
<li>What <strong>must remain flexible over time</strong></li>
<li>What can be allowed to change — and what cannot</li>
</ul>
<p>My approach favors explicit boundaries, predictable failure modes, and systems that can evolve without rewrites.</p>
<hr />
<h2 id="public-work--reference-implementations">Public Work & Reference Implementations</h2>
<p>My public repositories and projects are intentionally <strong>architectural in nature</strong>.</p>
<p>They emphasize:</p>
<ul>
<li>Reference architectures over demos</li>
<li>Reusable system components over one-off solutions</li>
<li>Explicit handling of identity, trust, and integration boundaries</li>
</ul>
<p>Examples include:</p>
<ul>
<li>Identity-aware ASP.NET application frameworks</li>
<li>Reusable Razor component systems</li>
<li>Composable infrastructure exploring decentralized workflows responsibly</li>
<li><strong>AI Portfolio</strong> — Certification labs and research implementations demonstrating agent-based systems, Azure AI integration, and architectural patterns</li>
<li><strong>Lockb0x Codex Forge</strong> — Protocol-driven Chrome extension for secure, verifiable digital provenance with cryptographic proofs</li>
</ul>
<p>These projects are maintained as <strong>living examples</strong>, not static showcases.</p>
<p>For detailed information on AI-related projects, see my <a href="/ai-projects.html">AI Projects & Research</a> page.</p>
<hr />
<h2 id="how-i-work">How I Work</h2>
<p>I work best with teams facing complexity, scale, or long-term responsibility.</p>
<p>My contribution is rarely just code — it is helping teams understand:</p>
<ul>
<li>Which problems are real</li>
<li>Which problems are premature</li>
<li>Which problems are inevitable</li>
</ul>
<p>The goal is not architectural purity, but <strong>systems teams can live with for years</strong>.</p>
<hr />
<nav style="margin-top:3rem;">
<ul style="list-style:none; padding:0; display:flex; justify-content:center; gap:2rem; flex-wrap:wrap;">
<li><a href="mailto:steven.tomlinson@gmail.com">Email</a></li>
<li><a href="https://github.com/steven-tomlinson">GitHub</a></li>
<li><a href="https://www.linkedin.com/in/pakana/">LinkedIn</a></li>
<li><a href="/ai-projects.html">AI Projects</a></li>
<li><a href="/continuing-education.html">Continuing Education</a></li>
<li><a href="Full-Resume.pdf">Full Resume</a></li>
</ul>
</nav>
</article>
</article>
```html name=_layouts/post.html
layout: default
—
Copilot Agent Task — Add “Systems of Meaning” Blog at /blog/
Steven B. Tomlinson
Senior Software Solution Architect
Las Vegas, NV
Overview
I am a senior software solution architect with more than 30 years of professional experience designing, building, modernizing, and operating complex software systems.
My career spans enterprise platforms, developer tooling, distributed systems, data-intensive applications, and emerging decentralized infrastructure. I have worked across Microsoft and Linux ecosystems, from early client/server architectures through modern cloud-native and protocol-driven systems.
What distinguishes my work is not familiarity with tools, but architectural judgment — knowing which decisions matter, when they matter, and how long teams will live with them.
What I Do
I help organizations design systems that:
Remain understandable as they scale
Survive personnel and technology change
Integrate legacy and modern platforms safely
Treat identity, data, and trust as first-class concerns
My role often sits between engineering leadership, security, and delivery teams — translating business ambiguity into technical structure that engineers can execute without constant re-interpretation.
Architectural Domains
Over the course of my career, I have designed and delivered systems across:
Identity and access management (authentication, authorization, trust boundaries)
Data-centric systems (relational, document, event-driven)
Developer platforms and reusable frameworks
Hybrid and distributed architectures, including protocol- and blockchain-backed systems
Modernization initiatives spanning decades-old systems and contemporary platforms
I am equally comfortable working at whiteboard, codebase, and operational levels — and I expect architectures to survive contact with reality.
AI & Emerging Technologies
My recent focus includes the architectural implications of generative AI, agent-based systems, and decentralized infrastructure.
I approach these domains not as consumer tools, but as architectural forces that alter system boundaries, governance models, and long-term sustainability.
Key areas of active work:
AI Agent Systems — Understanding how generative and agent-based AI reshapes system design, operational boundaries, and organizational governance
Decentralized Finance & Protocol Infrastructure — Developing architectural fluency in trust models, financial primitives, and enterprise integration patterns
AI Portfolio & Research — Maintaining an active portfolio of certification labs, experiments, and reference implementations
Protocol Engineering — Building secure, verifiable systems including the Lockb0x Codex Forge Chrome extension for digital provenance
These efforts are documented through formal certifications and coursework through Google Cloud AI certification, Microsoft Azure AI Foundry, Duke University, MIT, Berkeley and are applied to practical system implementations — not just theoretical exploration.
For detailed information on certifications and coursework, see my Continuing Education page.
Architectural Philosophy
I do not treat architecture as diagrams or abstractions.
I treat it as decision-making under constraint.
Good architecture answers hard questions early:
What must not fail
What must scale
What must remain flexible over time
What can be allowed to change — and what cannot
My approach favors explicit boundaries, predictable failure modes, and systems that can evolve without rewrites.
Public Work & Reference Implementations
My public repositories and projects are intentionally architectural in nature.
They emphasize:
Reference architectures over demos
Reusable system components over one-off solutions
Explicit handling of identity, trust, and integration boundaries
---
````markdown name=blog/_posts/2025-10-28-metaverse-standard-time.md
---
layout: post
title: "Metaverse Standard Time: A Temporal Framework for the Open Metaverse"
tags: [code, world, lamina1, open-metaverse, standards]
---
# 🕰️ Metaverse Standard Time: A Temporal Framework for the Open Metaverse
In the physical world, time is fragmented—divided by zones and distorted by daylight saving.
In the metaverse, such fragmentation becomes a liability.
**Metaverse Standard Time (MST)** proposes a unified temporal layer for persistent, interoperable, creator-driven worlds—aligned with Neal Stephenson’s metaverse vision and Lamina1’s mission.
## Core Principles
- **Universal** (single reference, no DST)
- **Persistent** (reliable logging and governance)
- **Creator-centric** (simplifies scheduling across platforms)
- **Interoperable** (open-standards friendly)
*(Full white paper follows… replace with your finalized content as needed.)*
layout: post
title: “Welcome to Systems of Meaning”
tags: [self, intro, blog]
—
Systems of Meaning is my consolidated blog where code, story, and independence meet.
Code: posts on verifiable systems, identity, and decentralized infra
World: transmissions from the Node_Zero / Whispering Code universe
Self: notes on focus, craft, and staying small with intent
Expect one post per week, rotating pillars, plus occasional hybrid essays.
---
### Homepage Teaser
For your homepage (either `index.md`, `index.html`, or `README.md`):
If you use Markdown:
````markdown name=index.md
## Latest from the Blog
- [An Architectural Review of Systems Approach](/blog/2025/12/28/architectural-approach/)
*December 28, 2025*
If you use HTML, add under the main summary/hero section:
```html name=index.html