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.
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.
Essays
How Agents Actually Talk to Each Other
The next real step for agents is not just more subagents inside one product. It is genuine multi-agent runtime across different harnesses, using paired review loops, handoffs, shared threads, and open protocols such as A2A.
Essays
Mobile AI Coding Is Splitting Into Local Supervision and Cloud Autonomy
As of March 24, 2026, the biggest divide in mobile AI coding is not provider branding. It is whether your phone is steering a session running on your own machine or watching cloud agents work somewhere else.
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.
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.
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.
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.