What the Great Moon Hoax in 1835 Teaches Us Living in the AI Era
The 1835 Great Moon Hoax fooled New York by borrowing a real astronomer's name. Here's how watermarking and C2PA content provenance are answering that same old problem in the AI era.
Blog
Notes on AI for knowledge work, automation, and building as a solopreneur.
AI-assisted, but where does 'assisted' actually start
What happened when I tried to tag my blog posts 'AI-assisted,' and why I landed on judging by effort and value instead of which tool touched the text.
Zork Meets Comic Chat: Turning Two Classic Open-Source Projects Into One Game
How a chance discovery of two Microsoft open-source releases, Zork and Comic Chat, turned into Grues in Comic, a side project now live in public beta.
Why I Added an AI Memory Tool and Then Removed It
I connected Mem0 to manage context across AI coding agent sessions, then removed it. Here's why two plain markdown files turned out to be enough.
The Myth That You Have to Read Everything: Weekly Review and a Slack Safety Net
Of 128 wiki pages, I had personally read almost none. When AI builds every connection, the knowledge graph belongs to the AI. It just lives under your name. How I built a weekly review workflow and a Slack safety net to keep my own thinking in the loop.
What a Five-Month Stall Taught Me About Working With AI
Returning to What If Classics after five months with Fable clarified something about AI-assisted work: the bottleneck is knowing how to package a problem before you hand it over, not execution.
Five Sources In, I Was Rubber-Stamping: Breaking the Browse-and-Accept Pattern
One source at a time, I reviewed carefully. Seven at once, and by the fifth I was scanning titles and rubber-stamping. How I recognized the browse-and-accept failure mode, and why splitting ingest into three separate stages fixed it.
The Registry Meant to Stop Guessing Was Full of Guesses: Auditing My Source Trust Data
Twelve entries seeded the source registry. Two had real evidence behind them. Ten were AI guesses stored in a file that looked like confirmed facts. How I reconstructed evidence from the ingest history, and what it means when confirmed and unconfirmed data look identical in a system you built to prevent guessing.
Why This Digital Garden Exists
A public notebook on AI for knowledge work, grown by someone who spent two decades shipping and documenting hard systems.
Agent Readiness: Writing Docs Machines Can Actually Use
Technical documentation has a second audience now: AI agents. What agent readiness means, where docs fail agents, and how to measure it.
The Fix I Trusted Had the Same Flaw: Giving Source Judgment a Real Memory
Source trust judgments kept drifting between sessions, so I built a registry to make them persistent. The two-axis framework behind that design, the author-level extension that strengthened it, and the uncomfortable thing I found in the seed data I'd used to populate it.
I Thought It Was My Thinking: How AI Quietly Takes Over Your Judgment
Every summary Claude returned seemed obvious, until I realized my own impressions were being shaped by Claude's framing before I'd formed any of my own. What Sofia Quintero's essay helped me see, and how I built a friction step into my ingest workflow.
One Space, Three Roles: When Different Audiences Need Different Rules
Personal notes, reusable templates, and public writing lived in the same space, and an AI agent had no reliable way to know which rules applied where. Why I split the vault into four explicit layers, and what the separation made visible.
More Plugins, More Power? The Hidden Cost of a Bloated AI Config
Opening a wiki session, I saw 50,000 tokens already consumed before touching a single file. A 93 KB development framework had been loading into every session regardless of the task. What I learned about keeping AI context lean.
What Insight Synthesis Actually Looks Like: The One Point Where DRM Expertise Meets the AI Agent Economy
Looking for where DRM expertise actually meets the AI agent economy, my first answer was wrong. Here's the retraction, and the one real connection point regulation is already making mandatory.
From Data Hoarder to Knowledge Architect: Bad Sources Make a Bad Wiki
I used to think feeding articles to AI and letting it fill my wiki counted as building knowledge. Here's how bad sources turned that into a well-organized trash can, and the three-part quality check I built to stop it.
I Started Organizing a Decade of Knowledge with AI: Why, and Where to Begin
Starting a public series on building a personal LLM-Wiki out of a decade of OTT and DRM experience. Why AI can summarize but not reflect, and what the system looks like a few weeks in.
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