Operator-builder portfolio

Grayson Dodson

I build AI products, operator tools, and systems that survive real work

I'm a developer and IT operator who ships. This page is the whole map — pick a thread and pull.

  • Operations — 7+ years running enterprise IT; the track record behind the builds.
  • Product — AI Lunchroom puts AI training where the work actually happens.
  • Privacy — The browser tools keep your inputs on your own machine.
  • Labs — The labs let you test ideas instead of reading about them.
Explore ventures Open local tools About Grayson

Ventures and builds

  • CipherG - A concise case study on building, controlling, and sunsetting a founder-led P2P Bitcoin liquidity operation.
  • AI Lunchroom - An AI-training product in private-beta preview, built around realistic workplace prompts, guided labs, role-aware practice, and review habits.
  • IT Lunchroom - A free, plain-English training product for the everyday tech and security decisions people face at work. Now in public beta.
  • Shopframe - A live, Cloudflare-native SaaS that designs, provisions and hosts complete dealership websites at the edge — built by me and run with an AI operator under a written contract.
  • Fail-Closed Quoting Engine - A supervised, fail-closed automated quoting system on two CFTC-regulated US event-contract venues, run with personal capital and documented as reliability engineering — the engineering is public, the strategy is not.
  • graysond.xyz platform - The site itself as a project: a Markdown content model compiled into static SEO pages, one Vite homepage with the orbital instrument, and a Cloudflare Worker at the edge — guarded by 20 lint gates.
  • Monster Trux World - A personal browser build made from my son's ideas: a monster truck on a procedurally generated miniature planet, with deterministic globe terrain, terrain-derived hydrology, adaptive frame pacing, and a headless-Chrome regression gate. Deployed publicly because that is how I test it on real phones.
  • Mail MCP Bridge - A self-hosted, read-only remote MCP server that turns my own IMAP mailbox into a Claude custom connector — least privilege, prompt-injection hygiene, and reboot-safe operations. Unpublished personal infrastructure I use every day.
  • OpsDesk Lite - A self-hosted, SQLite-first Laravel helpdesk for small operations teams — spec-first product work, AI-implemented, test- and packaging-verified. Built to v0.1 and parked, not released.

Browser-local tools

Interactive labs

  • Probability Signal Simulator - A hands-on lab for seeing how randomness, streaks, sample size, and new information can mislead intuition.
  • Chaos Divergence Explorer - See how tiny starting differences can grow into very different paths once feedback starts compounding.
  • AI Token Budget Lab - A local teaching lab that shows how quickly AI working room gets used by instructions, source text, examples, tool output, and answer space.
  • Documentation ROI Calculator - Estimate how repeated documentation gaps cost time, then turn the result into a prioritized fix list.

Research and field notes

  • Market Intelligence Field Notes - Field notes on market intelligence as a decision-quality system: expected value, pricing gaps, signal/noise discipline, variance, interface risk, and execution constraints.
  • Systems Field Notes - Notes on documentation, support habits, and the practical systems that help teams work with less repeated confusion.
  • The Overlay Problem - A systems note on platform trust, hidden complexity, and why clean interfaces can make risk feel simpler than it is.
  • CipherG Operating Archive - Founder/operator archive of CipherG, a former P2P Bitcoin liquidity operation: trust boundaries, payment verification, platform risk, and a controlled exit.
  • Security Posture Notes - How this site treats security, privacy, local tools, deployment boundaries, and future hardening.
  • The LLM Ladder - A practical, plain-English field guide to modern AI vocabulary, from tokens and logits to reasoning models, RLVR, GraphRAG, MCP, computer-use agents, safety, and deployment.
  • Innovation or Theater: AI Implementation Decision Framework - A deterministic framework for deciding whether a proposed AI implementation should proceed as proposed.