Topic guide
8 posts
AI Agents: Workflows, Runtimes, and Costs
AI agent field notes by Jack on bounded tasks, persistent runtimes, model selection, and the costs and checks needed to turn a request into useful work.
Where to start
An agent needs more than a capable model. Explore how task boundaries, tools, runtime design, and verification affect the work it can finish.
Start here: How to choose models and design AI workflows
All posts on this topic
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Apple AI Strategy: Who Controls the Next Action?
Apple’s AI strategy connects Siri, Foundation Models and App Intents. What its partnerships and agent research establish, and what still needs testing.
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OpenAI Dots and the Economic Paradox of Personal Agents
OpenAI Dots and GPT-6.1 Sol show the personal agent war has moved from model IQ to inference economics. Why cross-subsidization will decide the First Layer.
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Why AI Agents Need a Mac: The Hidden Virtualization Limits
Why AI coding agents from Cursor to Devin need real Macs for iOS builds, and the hidden limits: a 2-VM kernel cap, blocked snapshots, and 24-hour leasing rules.
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September 2026 AI Model Rankings: Reading the Chart
Read the September 2026 AI model rankings as a dated tier chart, with its attribution, missing methodology, and limits made clear before choosing a model.
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OpenClaw Isn't Dead: It Lives in Big Tech's Answers for Agents
Why OpenClaw's early architecture—persistent environments, computer use, and local runtimes—now defines how Google, OpenAI, Anthropic, and Meta build AI agents.
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Meta Muse and Grok Bot: Are Cloud-Hosted Agents the Next Form?
Meta Muse and Grok Bot give each agent a persistent cloud computer. Are always-on VM agents the next form? Plus usemuse.lol, built entirely inside Muse.
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AI Workflows: How to Choose Models and Agents
A practical AI workflows guide for choosing models, designing agents, controlling costs, and evaluating real work without trusting benchmarks alone.
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How to Use GPT-5.6 Luna Max as a Codex Subagent
GPT-5.6 Luna is now 80% cheaper in the OpenAI API, making Luna Max practical for bounded Codex subagent tasks while Sol handles planning and review.