Outlines only. Draft articles are not published until they have been reviewed.
Draft
What Nearly Two Decades in Digital Publishing Taught Me About Building Content Teams
A working editor’s view of recruiting contributors, teaching a point of view, and keeping quality intact after the founder is no longer the only writer.
- Why a single-author voice does not scale, and what has to become explicit.
- Hiring for judgment versus hiring for throughput.
- Briefs, review cycles, and the difference between a style guide and a point of view.
- How feedback actually improves writers — and when a contributor is not a fit.
- What I would keep, and what I would not repeat, in a corporate editorial organization.
Draft
AI Is Changing Search. Content Leaders Need More Than Another SEO Checklist
Search is becoming an answers layer. The useful response is not more keywords; it is clearer ownership of intent, accuracy, and whether a topic is worth owning.
- What actually changed for publishers when answers started appearing above links.
- Why intent, entity clarity, and trust matter more than isolated keyword targets.
- AEO and GEO as extensions of content strategy, not replacements for it.
- How to tell content decay from a distribution shift.
- Where AI-assisted production helps, and where it creates undifferentiated pages.
Draft
Great Content Operations Are a System, Not a Content Factory
Calendars, briefs, editing, updates, and analytics are one loop. Treating them as separate departments is how quality and performance both drift.
- The loop: decide, assign, edit, publish, measure, update or stop.
- Why volume targets without lifecycle ownership produce decaying libraries.
- Governance as an editorial act: what no longer belongs.
- Remote operations only work when the workflow is visible.
- How this maps to in-house content teams that do not look like a media company.
Draft
What I Learned Building a SaaS Product With AI Coding Agents
Notes from directing PositionTracker with AI-assisted development: speed is real, and so is the need for product judgment, review, and honest scope.
- What I asked agents to do, and what I refused to delegate.
- Product definition still comes first: workflows, not features in a pile.
- Auth, data, billing, and deploy are the product, not chores after the UI.
- Testing and reading the diff are the job when generation is cheap.
- Why this experience is relevant to content and knowledge systems, not only software.
Draft
Why Technical Content Still Needs Human Editorial Judgment
AI can draft a plausible how-to. It cannot be accountable for a wrong step, a missing warning, or a publication’s point of view.
- The difference between fluent prose and a correct procedure.
- Voice is a series of refusals: what we will not oversimplify.
- Review systems that assume AI was in the draft, not that it was not.
- Accuracy, trust, and the reader who will follow the steps.
- A practical standard: humans own the claim; tools own the acceleration.