Nick Bryant

Software.
Systems.
Worlds.

I build things from the first idea to the working product.
Explore the work ↘

Conceptual terrain study of an imagined generative world

01 / An engineering atlas

02Interactive work

Generative worlds

Games, authoring systems, and small experiments where procedural structure meets deliberate worldbuilding.

Conceptual landscape cross-section from desert mesas to alpine peaks
Concept study / Terrain, rules, inhabitation
The Lower Worlds project screenshot

01 / Field study

The Lower Worlds

Generative authoring · TypeScript / React / Three.js

An experimental generative-authoring system in TypeScript, React, and Three.js. Models and people define the world, schemas validate and version it, and deterministic rules run the game while player progress stays private.

Explore the architecture

The authoring stack separates intent, validated schema, versioned world definitions, and deterministic runtime state so generated content can remain inspectable.

System plate / 04

The Lower Worlds · architecture study

Illustrative assembly

An exploded isometric illustration of software architecture showing the intent, schema, world, and runtime layers of The Lower Worlds software architecture.

World. Versioned, reusable definitions preserve a coherent world across play.

Blind Magus project screenshot

03 / Field study

Blind Magus

Released action game · Independent

A released action game built around combining spells into new effects.

The Lower Worlds: Awakening project screenshot

06 / Field study

The Lower Worlds: Awakening

Creator and engineer · Playable prototype

A third-person dungeon adventure in Godot 4.7: prepare at Highbridge, explore the ruins below, and choose when to return to defend the garrison. Typed GDScript, physical puzzles, persistent progression, and rendered gameplay verification.

Chapter 02 / Applied intelligence

Agents &
systems

Local-first tools that make model work inspectable, bounded, and useful in the physical or commercial world.

Conceptual study of a speculative workshop machine
Conceptual study / Not actual hardware
AI Robot Workshop project screenshot

01 / Working system

AI Robot Workshop

Open source · Local-first agent workflow

Turns agent conversations into inspectable plans, firmware, parts records, bounded models, and bench observations. The documented hardware routes remain unbuilt.

Treasure Hunter project screenshot

02 / Working system

Treasure Hunter

Creator and engineer · Local agent system

A local, chat-operated marketplace agent that values every collected item, persists evidence and checkpoints, and explains its ranked results in a live dashboard.

Chapter 03 / Field notes

Writing from the work

Conceptual editorial study of embossed terrain and printing plates
Concept study / Ideas made durable
  1. Give Agents Lives, Not Just Jobs

    A1

    Give Agents Lives, Not Just Jobs

    Why I think ongoing pursuits, embodied experience, and a limited point of view can give agents something more interesting to say.

  2. A Small Model With a World Around It

    A2

    A Small Model With a World Around It

    What my local-model companion experiments taught me about structured output, useful conversation, and the architecture around a model.

  3. Human–Agent Interaction Is More Than Chat

    A3

    Human–Agent Interaction Is More Than Chat

    Presence, silence, interruption, and selective memory are part of the interface when an agent has a continuing life.

  4. Digital Twins Need More Than Your Chat History

    A4

    Digital Twins Need More Than Your Chat History

    A useful twin needs a history of changing views, explicit authority, and a distinction between representing someone and becoming its own agent.

  5. Marketing Is a World Agents Can Work In

    A5

    Marketing Is a World Agents Can Work In

    Lessons from SFV and SMBIN: content, audiences, campaigns, and feedback form an environment an agent can understand.

  6. Treasure Hunter

    01

    Treasure Hunter

    Building an agent that values every item and exposes its evidence, uncertainty, and resumable state.

  7. AI Robot Workshop

    02

    AI Robot Workshop

    From a plausible agent answer to persistent project files, explicit evidence, and a buildable path.

  8. Fractal Authoring

    03

    Fractal Authoring

    Building The Lower Worlds Online, and a world that can keep becoming more specific.

  9. Building procedural environments in Valenfeld

    04

    Building procedural environments in Valenfeld

    A practical look at shaping generated terrain into a world with authored intent.

  10. The Transformer Is the Transistor

    05

    The Transformer Is the Transistor

    A thesis on AI as a building block, and the verification and coordination infrastructure models need around them.

  11. The Lower Worlds: Awakening

    06

    The Lower Worlds: Awakening

    Building a home worth returning to: a playable Godot adventure, with in-engine screenshots and source.

Chapter 04 / About

Builder,
end to end.

Portrait of Nick Bryant

I’ve spent most of my career taking an idea and building the whole thing: the prototype, the product, and the team. Web, mobile, games, AR/VR, AI—I like learning what a hard problem needs and getting it working.

Right now I’m deep into agentic programming and generative worlds, trying to build things that weren’t practical a few years ago.

Denver / Boulder

Selected work

ARCOS / VN.AI

IP workflows · Next.js / Supabase / MongoDB / Redis / AWS

I led product engineering for IP management, permitted-use workflows, and content analysis. We connected roughly twenty model integrations and supported product pilots across the application and cloud stack.

Selected work

Procurement Sciences

B2B software · MERN / Python / FastAPI

I rebuilt an early Rails prototype as a MERN and Python/FastAPI product. I implemented the application, managed the engineering team, and hired the incoming CTO before the handoff.

Current · advisory

Investing systems

Investing / syndication · Co-founder, now advisory

I built investing and syndication software, AI-assisted underwriting workflows, investor reporting, and marketing automation for SMB Investor Network and Search Fund Ventures. My current role is passive advisory work.

2015–2020

Interesting Inventions

Consumer apps & games · Technical co-founder

Built and launched 5+ consumer applications through a holding-company portfolio, reaching nine-figure revenue scale.

Full career on the resume ↗
Agents
Editorial illustration
Return to the topic atlas

Frontier field · agents

Agents

Systems that select actions, use tools, maintain state, and pursue objectives over time.

Published work

Lessons in this field

1 lesson live

45-minute lesson

Persistent capability in fixed-model agents

A systems reconstruction of Voyager’s curriculum, executable memory, and verification-controlled learning loop.

What you will understand

Curriculum selection
How current world state and the history of completed and failed tasks shape the next useful objective.
Executable skill memory
How verified programs become retrievable, composable behaviors instead of disappearing after one attempt.
Iterative repair and verification
How execution errors, environment feedback, and an explicit success check turn code generation into a repair loop.
Evidence and limits
What the reported Minecraft results support, what the ablations isolate, and what the benchmark leaves untested.
Unique items discovered
3.3×
More unique items than the evaluated prior state-of-the-art baselines
Traversal distance
2.3×
Longer travel distance than the evaluated baselines
Tech-tree milestone speed
up to 15.3×
Fewer prompting iterations to unlock the wooden-tool milestone than AutoGPT

These are reported comparisons from the paper’s evaluated Minecraft setting. The lesson keeps baselines, ablations, citations, and limitations attached to the claims.

Open the Voyager lesson

Connected sequences

Learning paths through Agents