D. E. WilliamsContact
Daniel E. Williams

AI scales what’s there.

AI scales judgment and expertise. It also masks (and eventually exposes) lack of judgment and expertise.

Read the issue

I don't just write about this. I run my life on it.

The argument only counts if I'm living it, so here is the tech stack I built.

Curriculum Tracker

The planner our homeschool runs on. A curriculum comes in as photographs of the book's pages, and the tracker schedules one lesson for each school day of the year. When a week doesn't go to plan, every date after it moves to fit. I built it with my wife using Claude Code.

What our sons learn, and in what order, stays with my wife and me. The tracker keeps the calendar.

The homeschool curriculum tracker that I developed with my wife to manage the curriculum that we use to homeschool our two sons. We scan in images of the table of contents, lesson plans, and course outlines and generate the daily plans for the school year.

Homeschool Games

Games I build with my sons to teach them coding and how to use AI without handing it their thinking: a sailing and fishing simulation on a real-time 3D ocean, a party game with its own physics and synthesized sound, and a robot game that teaches math and engineering.

The boys decide what each game should do, and test whether it does.

The math tracker in Robot Battle: a nine-by-nine times-table grid with 35 of 45 facts mastered, beside the ten slowest facts, a chart of minutes practiced each day, and the switches that tie the robot's wiring to math.

Loop Team

The thing that changed how I work the most: a coordinator, a builder and a reviewer. The builder proposes each change as a pull request, and the reviewer's job is to find what's wrong with it. A change merges only once it survives that criticism and I approve it. The coordinator is my line into both, so ambitious projects keep moving between my decisions.

PR #164Footer tap areasOpened to merged in 15 minutes
  1. Oct 31Coordinator

    Files #161: touch-size hit areas for the footer links.

  2. 11:52Builder

    Opens #164. Every footer link now has a tap area that meets WCAG 2.2. The footer looks exactly as before.

  3. 11:59Reviewer

    LGTM. Measured at 360, 390, 430, 768 and 1440 px: every hit area is 28.2 px tall.

  4. 12:03Daniel

    Merge #162, then #164.

  5. 12:03Builder

    #164 needs main merged forward and a re-review first.

  6. 12:06Reviewer

    LGTM again. The merge is clean; nothing hand-resolved.

  7. 12:07Merged

    On Daniel’s word.

agent-switchboard

One Telegram bot out front and a team of Claude Code sessions behind it: a coordinator, health, legal/records, bookkeeping, family travel, and a pair that builds and reviews changes to the system itself.

agent-switchboardOne message in. Only decisions come back.As of November 2026
MeOne Telegram chat, on my phone
SwitchboardRoutes each message to the right agentRefuses anyone not on the listGuards every tool call
  • Coordinator8:00 brief, 1:00 inbox and calendar sweep
  • HealthTraining, sleep and logging
  • BookkeeperReceipts in, books kept
  • TravelHousehold trips, planned end to end
  • Legal/RecordsPaused for the redesign
  • Builder + ReviewerThe switchboard improves its own code
Runs without me

Reading, drafting, briefs, summaries, plans, code review.

Waits for my tap

Merging a change, writing to the books, moving money, sending in my name, home security.

PlannedOne Telegram topic per subject, a private chat for approvals, levels from act to never with an audit trail, and an always-on home server.

Automation Resilience

Upload or paste in a résumé, and it scores how exposed the work is to automation and how ready the person doing it is to adapt.

automationresilience.com

LocalMemory

It started as a memory platform for AI. Over time, I’ve evolved it into a context graph for multi-agent architectures.

localmemory.co

I did this at scale for other people before I did it for myself: $2.5M saved at TaxAct, one account grown from $28K to $4M in nine months, $5M a year at NFL Digital Media.

Free every Thursday.

Claude Code for Non-Coders is for senior technical people who built their careers on judgment, stopped writing code years ago, and are working out what AI and coding agents mean for them. You decide what to automate and what still needs your judgment. I build in the open and hand you a working version.

Tuesdaythe hands-on build, paid.Thursdayone idea in full, free.

Join 35,000+ senior technical people building their own AI agents and staying in control of the decisions.

Routes to Claude Code for Non-Coders on Substack. Unsubscribe anytime.

The office

Step into the office and find the work. Everything in it is also on this page.

This device can't run the office. Everything in it is on this page.

A few companies a year.

Advisory

A few companies a year bring me in on their specific problem: what to build, what to buy, where AI actually belongs in the operation, and how to keep their people the decision-makers instead of the assistants. I take the ones I can genuinely move.

Speaking

I also give talks and run workshops: keynotes for leadership teams, hands-on sessions for the people who have to build the thing. If you want me in the room, start here.

Daniel speaking into a microphone on a three-person panel on stage, in front of green curtains.
Navigating AI 2.0, George Mason University’s Costello College of Business, September 8, 2026.Photo: Hannah Patterson.

One note, for both. If I can genuinely move it, you'll hear back within two business days.

Inbound only · replies in ~2 business days

Nov 2026
“The Model, Not the Tool,” on building personal finance models with AI, for Alpha Kappa Psi at George Mason.
Sep 2026
Navigating AI 2.0, George Mason’s Costello College of Business. Panel: “From Prompts to Possibilities.”
Apr 2026
Final-round judge, BUS 498 Capstone Case Competition, George Mason.
Mar 2026
“From AI Slot Machine to AI Leverage,” Alpha Kappa Psi at George Mason.
2023 – 26
Patriot Pitch Competition, George Mason: a final judge in 2023, and a mentor since 2024.

Twenty-five years building things for other people. Now I build them for myself, in the open.

I connect ideas and people that others see as separate, and I build what that connection makes possible.

I build my own tools, I write about how, and I advise the companies that want the same thing for their teams. I work in a window from early afternoon to evening, on purpose, because the mornings belong to my family, to fitness, to reading. I live on the coast of Virginia with my wife and two sons.

2024 –
D. E. Williams + Co. Own tools, in the open. Newsletter, agents, advisory. Clients included executive and board advisory for Jobs for the Future, JFF Labs, Britebound and Burning Glass Institute.
2019–24
Pariveda Solutions. Built a national practice $0 → $6M/yr. Clients included NFL Media, Bloomberg, OMERS, TaxAct, Toyota, Hyundai, Honda, Air New Zealand, John Deere and AWS.
2013–19
Beyondsoft. Ran Toyota & Lexus digital properties across a $35M portfolio.
2010–13
Booz Allen Hamilton. Won $9M+ new business.
2003–10
Federal Reserve · SAIC. The platform FRB, World Bank, IMF and BLS used to share statistical data.

MS Tech Management, GMU · BS Computer Science, Bowie State · PMP · Lean Six Sigma