Stephen Szermer Design Engineer & AI Capability Researcher

RISD-trained designer and full-stack engineer building at the intersection of human cognition and AI systems. Six Laws of AI-Era Software Engineering — observed through DevLex synthesis, instantiated as BIG Tools. AI domain expert for Brown University's Embodied Brain Technology Practicum. Director of GDG Providence (500+ members).

AI Capability
Research

Building systems that make humans more capable, not more dependent.

Author of the Six Laws of AI-Era Software Engineering — observed through DevLex synthesis and instantiated as BIG Tools. Documented the Evaluation Crisis Spiral: as AI generation speed increases, human evaluation capacity degrades. Validated across 9 domains including education and peer review.

Neuroscience Education

AI and creativity for Brown University's Embodied Brain Technology Practicum.

Teaching team member alongside neuroscientists and game designers for a cross-institutional course on idea generation (Brown, Ben-Gurion, MIT, Rochester, CMU). Led sessions on AI as creative companion, demonstrated the Threshold crisis decision-making prototype at RISD, and built a shared knowledge agent that grew smarter as the course progressed.

Enterprise UX Leadership

10 years leading design across complex domains.

A decade of enterprise design leadership across industrial IoT, enterprise risk and insurance, and large-scale healthcare, including building and leading design organizations. RISD MID in Industrial Design. Deep expertise in interaction design, progressive disclosure, and trust-critical interfaces.

AI Education & Community

Teaching humans how to think with AI, not defer to it.

Co-teaching the Embodied Brain Technology Practicum at Brown University with Chris Moore (Carney Institute) and Carl Moore (BIG Ideas methodology). Building the class curriculum and BIG Tools — the supporting toolkit for AI capability development. Director of GDG Providence (500+ members, 15+ events).

Portfolio

Building systems that amplify human capability — from AI-assisted knowledge tools to interaction designs that preserve human judgment under speed.

Threshold — Human Readiness Verification
Featured
Carnegie / RISDLive Prototype

Threshold — Human Readiness Verification

Carnegie-funded prototype for human readiness verification in high-stakes decision contexts. Ritual state machine with calming gate (4-7-8 breathing + biometric readiness), progressive knowledge disclosure, and realm-based access control. Built to prove that the right AI intervention point is a verified human on the receiving end.

Next.js 16React 19Framer MotionTailwind v4VitestState Machine
343 Passing Tests2 UI Skins5-Realm Access Control
Private Language — Knowledge Sovereignty
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Co-FounderLive Platform

Private Language — Knowledge Sovereignty

Knowledge sovereignty platform designed to make AI interactions compound rather than evaporate. Multi-modal capture, AI-powered insight extraction, semantic search, and a knowledge graph that surfaces connections users have forgotten. Live case study with 24 Brown/MIT/BGU students in the Embodied Brain Technology Practicum, Spring 2026.

Next.js 16React 19TypeScriptSupabasepgvectorQdrant
24 StudentsBrown Case StudyKnowledge Graph
BIG Tools — Real Cognitive Work Toolkit
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Brown Practicum, Spring 2026Live Workshop Toolkit

BIG Tools — Real Cognitive Work Toolkit

Software-architecture layer for an idea-development class I co-teach at Brown University with Chris Moore and Carl Moore. One Known-Knowns gate plus seven tools (Reframe, Alignment, Collaborate, Mixtape, Falsification, Friction-on-Demand, Tracker) governing how AI verifies and enhances user-generated work — never replaces it. Canonical content and the working application live at bigtools.dev.

Next.jsReactTypeScriptSupabaseTurborepoAI Gateway
1 Gate + 7 ToolsBrown Co-TeachSoftware-Architecture Layer
Port Jefferson Ferry Digital Transformation
McAllister TowingUX Leadership

Port Jefferson Ferry Digital Transformation

Led complete UX overhaul for 1.2M annual passengers serving Long Island Sound. Applied service design methodology and progressive disclosure to reduce support tickets 30% while modernizing 140-year-old maritime operation.

Service DesignProgressive DisclosureMobile-First UXJourney MappingMaritime Systems
1.2M Passengers30% Less TicketsMobile Optimized

Research

Independent R&D — the substrate behind the Six Laws and BIG Tools. Repositories are private; framing is public.

BIG Tools Memory

Agent Memory Layer

The memory layer behind BIG Tools. It lets AI agents keep and reuse what they learn across sessions, so context builds up over time instead of resetting with every conversation.

Private Repository

AXIOM

Trail Discovery & Syntopic Reading

Capability layer inside the BIG Tools memory architecture. Operates on the principle that memory quality is the moat, not storage. Surfaces non-obvious connections across reading material the way a well-kept commonplace book does — at machine speed.

Private Repository

Community & Thought Leadership

GDG Providence

Chapter Director

Building a community at the intersection of Art, Design & Technology in Providence's innovation ecosystem.

Founded June 2024

UX Leadership

Maritime Digital Transformation

Led complete digital booking transformation for 1.2M annual ferry passengers using service design methodology and progressive disclosure principles.

Open Source

Contributions

  • • HDD Framework Templates
  • • Service Blueprint Toolkit
  • • Experience Design Patterns

Key Achievements & Impact

10-20%
Improvement
Target EBITDA Impact
5-12%
Through AI
Fuel Cost Reduction
25%
Predictive
Maintenance Savings
15+
Years
Enterprise Experience