Devin Pellegrino
Knowledge Systems & Persistent AI Agents for Open-Ended Domains
From FDA-cleared medical technology operations to a live 37-agent operating system — built on the NERO Method, with the work published and dated since 2023.
What I Do
Systems architecture across regulated medical technology, production AI, and public education — every claim traceable.
Medical Technology
Director of Engineering at Brain Ultimate, an FDA-cleared TMS medical-device company. I've trained 50+ clinics and hospitals across the country on deployment and plasticity mechanics — including Butler Hospital, where I personally installed 75% of the TMS wing.
FDA 510(k) K230735 · K243459 Read the case studyAI Systems
I designed the complete prompt and agent architecture for Pet Portal AI, an accelerator-backed animal-health product — and I run the NERO system: 37 persistent domain agents under apex orchestration, governed like production infrastructure.
37 agents · 6 planes · 242 versioned sessions Read the case studyOpen Source & Teaching
Three years of public, dated releases: 33+ GPT agents, 16 prompt libraries, a formal curriculum, 50+ recorded sessions, and the NI-NOTION methodology series — plus a community of 500+ builders.
344★ Advanced-GPTs · 27 repos Read the case studyAI systems that improve through use
Most AI systems fail in open-ended domains because they're designed top-down: generate an architecture, force behavior into it, watch it drift. I work in the opposite direction — master the domain manually, reverse-engineer the expertise into explicit structure, and let every correction become a permanent rule.
The industry has proven long-horizon agentic AI in one domain: software, where code compiles or it doesn't. The NERO Method demonstrates the same reliability in domains with no automatic verifier — operations, clinical training, logistics, education — where the only ground truth is human mastery.
Context Engineering
Human-authored knowledge maps as ground truth — deterministic rules instead of vibes.
Agentic Engineering
Versioned agent lifecycles — agents that write their own next version and never lose state.
Knowledge Engineering
Expert domains converted into structured surrogate models that AI can operate on reliably.
Prompt Engineering
The foundation — three years of public, dated releases with 560+ GitHub stars of validation.
Track Record
Public, dated, and cumulative — every phase built on the last.
First public GPT-4 technique libraries. The community forms.
Formal curriculum, 33 GPT agents, 16 prompt libraries, 13 frameworks released.
Brain Ultimate and Pet Portal AI architecture roles. Nerority LLC founded.
NI-NOTION methodology series published. 37 persistent domain agents live across six planes under apex orchestration.
Devin has been absolutely transformative for both my career and my personal life. I've gone from being a user to crafting complex systems and workflows that have redefined what I'm capable of professionally.
Where to Start
Hire me for hands-on systems work, read the case studies with the numbers, or join a community of builders who've been running the method for years.