I spent my career running newsrooms and editorial teams — Reuters, The Wall Street Journal, The Daily Show, and most recently as VP of Newsletters at Pluralsight. Over the past several months I've been using Claude Code and Codex to build the systems I always wished existed: tools that turn scattered personal and professional information into something a person — or an editorial team — can actually act on.
None of this is theoretical AI-tool dabbling. Each project below was built end-to-end and is in active use. The demos below run on fictional data so you can click through them without me handing over my actual contacts, health logs, or calendar.
Every build began as a thing I was already doing manually: prepping calls, tracking leads, reading news updates, or interpreting health logs.
The useful part is judgment at the edges: turning messy inputs into ranked next steps, briefings, linked pages, and coaching notes.
These are personal products with real interfaces, data paths, and habits around them — built to be used, then improved.
Each demo uses synthetic data, but the product behavior mirrors the real tools.
A personal knowledge wiki compiled from journals, notes, and messages — not a filing system, but a writer's pass over raw personal data that synthesizes understanding into structured articles. It's the context layer that powers the two tools below: when Chief of Staff or Networker need to reason about who I am, what I care about, or who I know, they read from this wiki.
Maya Okafor proposed cutting the new-user onboarding flow from 9 steps to 4 after the March churn review showed 38% drop-off before first activation. She's running the redesign with the growth pod through Q3, reporting into Devon Price.
Anthony connected Maya with a former WSJ colleague, Priya Shah, now doing UX research at a competitor — Maya wanted outside perspective on activation metrics before presenting to leadership.
A working daily-briefing and project-tracking system built on top of AnthonyWiki. Generates morning briefings, tracks open items across projects, preps 1:1s, and maintains a running memory of people, projects, and commitments — the kind of operational layer a chief of staff would maintain, automated.
| Open Item | Owner | Due |
|---|---|---|
| Finalize onboarding A/B test plan | Maya Okafor | Fri Jun 26 |
| Send Heron Analytics renewal decision | Anthony | Fri Jun 26 |
| Q3 roadmap review with leadership | Devon Price | Mon Jun 29 |
A tool for deciding who in my network — and who in my network's network — is worth reconnecting with. Built it while running my own job search: it researches contacts and companies, tracks meeting notes and leads, and helps me prep for calls with actual context instead of generic LinkedIn skimming.
| Name | Role | Tier | Last touch | Why reconnect |
|---|---|---|---|---|
| Priya Shah | UX Research Lead, Heron Analytics | Hot | 2 mo ago | Active hiring manager, adjacent industry |
| Marcus Lin | VP Content, Fenwick Media | Warm | 9 mo ago | Former teammate, growing team this quarter |
| Dana Osei | Editorial Director, Stratus Group | Cold | 2+ yrs ago | Strong alumni tie, no recent signal |
| Name | Role | Connector | Why intro |
|---|---|---|---|
| Leila Hartman | Head of Talent, Heron Analytics | via Priya Shah | Owns hiring for roles matching your background |
| Tomas Reyes | Founder, Northbeam Media | via Marcus Lin | Early-stage, actively building editorial team |
I text what I eat and what exercise I do (running, strength training) to Poke, which feeds the data into Notion. HealthDash pulls that into a web dashboard with running coach-style commentary — AI giving feedback on the data, not just visualizing it.
A modern take on Circa — the mobile news app I helped build years ago that broke stories into discrete, structured "atoms" of information readers could follow over time instead of re-reading a full article on every update. Chronicle News rebuilds that idea for today: atoms of information assembled to get readers oriented on a story fast. Two sides of the same product — the editorial CMS where atoms get written and published, and the reader app where they get followed.