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Essays, notes, and resources on practical AI, systems, and digital work.

Sketch illustration of a person at a desk looking at an eight-step AI proficiency ladder that rises from chat to orchestration.
Essays

The AI Proficiency Ladder

Every's eight-level AI adoption map is useful because it measures delegation, trust, context, and verification, not personal intelligence. This version expands the ladder and pairs it with a self-assessment that checks how people actually work with AI.
Hand-drawn editorial illustration of a notebook, stopwatch, and small task loops branching from one human decision point.
Essays

The Future Feels Like 1,000 Tokens a Second

Cerebras is interesting beyond its IPO because near-1,000-token-per-second inference changes the shape of the work: draft, check, repair, compare, and return before the human loses the thread.
Hand-drawn editorial illustration of an open AI floor rising toward a proprietary AI ceiling, with model blocks, agent loops, and benchmark markers.
Essays

The Floor and Ceiling of AI

The useful question is how much AI capability would still remain if the proprietary frontier disappeared tomorrow.
Minimal hand-drawn illustration of an open notebook with a symbolic clock gauge and small markers for video, support, code, and medical admin functions.
Essays

The AI Function Clock

The common claim is that AI cannot replace your job. That may be true. But jobs are bundles of functions, and the better question is which functions are already moving closer to reliable AI handoff.
Hand-drawn editorial illustration showing a central rule document under pressure from opposing loophole and overreach forces, with review and precedent hovering around it.
Essays

Loophole Treats Ethics Like Adversarial Testing

Loophole is not interesting because it solves ethics. It is interesting because it treats moral principles like something you can draft, attack, patch, and escalate until the real conflicts in your values finally surface.
Hand-drawn editorial illustration showing a rigid dashboard evolving into a chat bar and then into a generated multi-panel interface.
Essays

The SaaS Homepage Is Becoming an Agent

Attio, Linear, and PostHog are converging on the same product bet: one fixed dashboard cannot serve every user or every intent, so the SaaS homepage is shifting toward an agentic entry point. Chat is the router. Generative UI is what comes next.
Sketch illustration of an open notebook surrounded by five agent communication patterns: paired review, handoff, shared thread, swarm routing, and an external capability card.
Essays

How Agents Actually Talk to Each Other

The next real step for agents is genuine multi-agent runtime across different harnesses: paired review loops, handoffs, shared threads, and open protocols such as A2A.
Sketch editorial illustration of a phone splitting into a local laptop workflow on one side and cloud agent workspaces on the other.
Essays

Mobile AI Coding Is Splitting Into Local Supervision and Cloud Autonomy

As of March 24, 2026, mobile AI coding is splitting around where the work runs: a phone steering your own machine, or a phone watching cloud agents work somewhere else.
Sketch illustration of an open notebook turning into five stages of autonomous Claude Code workflows, ending in a measured results chart.
Essays

Five Levels of Running Claude Code More Autonomously

Claude Code autonomy is not one trick. It starts with permission friction and context hygiene, then moves through subagents and loop hooks, and becomes genuinely useful when the system can measure whether the last iteration actually improved the work.
Sketch illustration of a central notebook page turning into a layered memory system with cards, media inputs, and timeline markers.
Essays

Agent Memory Is Being Built Around the Model

The newest memory systems do not make language models inherently stateful. They build recall, updates, and temporal reasoning around the model instead. Gemini Embedding 2 is the first mass-scale vector embedding that is multimodal.
Hand-drawn editorial illustration of chat bubbles turning into a routed workflow system.
Essays

AI Is Moving From Chatbots to Operating Systems

The most useful way to understand AI progress isn't by tracking model names. It's by tracking the operating model: from chatbots that only talk to systems that can plan, act, coordinate, and increasingly sit across software.
Sketch illustration of a notebook and clock connected to branching tasks, showing AI-driven work expansion
Essays

AI Does Not Automatically Give You Time Back

AI can speed up individual tasks, but that does not automatically create more free time. From personal experience, the saved capacity gets filled by more complex tasks and higher expectations.