Paul Philp
Software/AI Engineer, Founder, Executive
Connect
Current Focus
- • Human-AI collaboration frameworks
- • Large-scale LLM application architecture
- • Effect-TS and functional programming patterns
- • Conversational AI and agent development
Paul Philp
Software/AI Engineer, Founder, Executive
Engineering human-AI collaboration at the intersection of complex systems and emerging technology
About Paul
"The world breaks everyone, and afterward, some are strong at the broken places." — Ernest Hemingway
I’m Paul. After 45 years in software engineering and a hard reset in my life, I retooled in AI, TypeScript, React/Next.js, Tailwind, and Effect.
This blog is the result of that journey. It has two tracks:
- Articles: engineering and the business of technology (AI, Effect, TypeScript, strategy, product, go‑to‑market).
- Series: A collection of articles on a specific topic that show the bigger picture.
- Essays: technical insights that sometimes include my story. All personal posts
are tagged
personal
, so you can easily skip them.
What happened (facts, not drama)
- I spent a decade as the co‑founding CEO of a B2B SaaS startup. It failed.
- I went through personal bankruptcy and major depression.
- My marriage ended.
- I stepped away, took inventory, and chose to rebuild.
Rebuilding my foundations
- After 25 years in technology leadership, I rediscovered my love of building.
- I focused on modern web engineering and strong typing: AI, TypeScript, React/Next.js.
- I adopted Effect for disciplined functional design.
- I shipped small projects to retrain the habits: tests first, clear invariants, measurable outcomes.
What I learned that changed me
- Identity: I’m a relentless puzzle solver. When systems break, I pull them apart until the patterns are clear.
- Humility: The codebase is the ultimate truth-teller.
- Boundaries: Clarity and consent aren’t just personal lessons—they’re good system design.
- Patience: Momentum beats heroics. One good decision at a time compounds.
How I write here
- Articles are practical and specific: clear problem, constraints, code, tradeoffs, and what I’d do differently next time. They are always about how a system works. Each article starts with a Job to Be Done block that explains what the reader will get by reading the article.
- Series are collections of articles on related topics. Where articles are focused and the series shows the bigger picture.
- Essays include my experience only when it explains a decision or a design.
- I tag personal content so readers who want only the tech can skip it.
Why I’m building again
- Because I still believe in software as a force that compounds.
- Because I like hard problems that reward clarity and discipline.
- Because the last three years taught me enough about people and systems to do better work.
Gratitude
- Teachers who helped me get current: Matt Pocock (TypeScript), Theo Browne (modern web development), Ethan Neisser and Sandro Maglione (Effect).
- Friends and mentors who told me the truth when I needed it.
Where to go next
- Start Here: cornerstone Articles and Essays.
- Articles: engineering and the business of technology.
- Essays: lessons and decisions from my journey.
Featured Essay
"What My Marriage Falling Apart Taught Me About LLMs" - A deeply personal exploration of complex systems, failure modes, and the surprising parallels between human relationships and AI architectures.
Read the EssayTechnical Skills & Expertise
What I Write About
Building robust AI agents and conversational UIs
Architecting large language model (LLM) applications for scale
Effect-TS patterns and functional programming in TypeScript
Human-AI collaboration frameworks and methodologies
Complex systems thinking in software development
The philosophical implications of AI integration
Paul Philp: At a Glance
Current Focus
- • Human-AI collaboration frameworks
- • Large-scale LLM application architecture
- • Effect-TS and functional programming patterns
- • Conversational AI and agent development