Taking on the genuinely hard problems: speaker diarization, meeting auto-detection, and what this fork actually proves about open-core and vibe coding.
Vibe Coding Open Core Out of its Lockbox III: The Source Awakens
Vibe Coding Open Core Out of its Lockbox II: May the Fork Be With You
Actually forking the MIT codebase: rebranding across 69 files, stripping 928 lines of telemetry, and having an AI coding agent implement a locked feature in a single pass.
Vibe Coding Open Core Out of its Lockbox I: Use the Source
A speculative roadmap for forking an open-core AI meeting assistant, with a worked example of how to use AI coding tools to implement it.
Accommodation Is Not the Answer
We treat workplace accommodations as individual exceptions you have to request, document, and fight for. A growing body of evidence says that model is backward.
Stop Picking Models. Start Building Harnesses.
Most companies are playing a game they don’t understand the rules to. They’re standing in a room full of competitors, all of them staring at the same two doors. One door says OpenAI. The other says Anthropic. They believe the strategic decision is which door to walk through. They believe this so deeply that they’re paying enormous premiums for inference that’s past the point of diminishing returns, and getting nothing their competitors aren’t also getting.
Launch-Your-Agent for Hermes: A Blueprint
Anthropic released an open-source Claude Code skill that takes a founder from idea to a live managed agent in minutes. Hermes Agent already has most of the same primitives. Here’s the mapping, the gaps, and the blueprint.
How to Strengthen Google’s OKF With a Methodology That Converged by Design
Google’s Open Knowledge Format and my Artifact Pyramid methodology converged on the same structural insight within weeks of each other. Here are six features from my open source project that would make OKF bundles dramatically more useful for agent pipelines. Includes a bridge proposal for combining them.
The Architecture of Focus
Most companies default to a schedule designed for managers that systematically destroys the cognitive capacity for the work they actually need. The fix is not to try harder. It is to redesign the environment, as exceptional thinkers have always done.
I Built My Own Research Engine. Here’s What This Tool Lets You Do.
A self-hosted, MIT-licensed research tool with an agent skill that teaches any AI how to drive it. No rate limits, no credit counters.
Raleigh’s Open Data: One Command to Find Anything
Raleigh publishes 178 public datasets. Most citizens never see them. I asked my AI agent to take a look.
AI Evals 101: Stop the Slop
Companies are shipping AI into production with no way to tell if it’s actually working. The slop isn’t a model quality problem, it’s an evaluation problem. Here is the four-rung ladder that turns vibe checks into engineering discipline, with tools you can run today.
What Paul Graham Noticed That HR Didn’t
Paul Graham’s essays describe the ideal startup founder in terms that map almost perfectly onto Autistic and ADHD cognitive patterns. Corporate hiring processes penalize the same traits. The startup ecosystem is functioning as an inadvertent neurodiversity inclusion program.
The Incidents Are the Training Data
There is a structural transformation happening in software operations. The output of production is increasingly training data, training data produces automation, and automation runs production. Site Reliability Engineering is one place this shift becomes visible in concrete terms. Not because SRE has the most data, but because SRE already solved a piece of the governance problem this new model depends on.