
Featured article
Companion video
How to build your second brain
Three folders, one schema file, an authorized source collector, and a reviewed maintenance loop for a second brain you can trust.
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Practical field notes for owners installing AI agents, automations, and knowledge systems in real businesses.
Reviewed and expanded from my original articles on X.

Featured article
Companion video
Three folders, one schema file, an authorized source collector, and a reviewed maintenance loop for a second brain you can trust.
Read field guide →Operator library
Implementation notes, decision frameworks, and real operating experiments.

My seven-step workflow for turning a messy idea into a bounded agent goal, a context rider, and a finish line the agent can prove.
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A practical workflow for turning captured meetings into project requirements, reusable skills, and a second brain you can actually operate.
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The seven-part sprint I use to pressure-test a business idea before spending weeks building it.
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Companion video
Four architecture decisions that turn expert content into a tested operating system instead of another generic chatbot.
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Companion video
Routines, Desktop scheduled tasks, and /loop each run Claude on a timer — but they differ on where they run, what they can touch, and how fast. Here's the decision matrix.
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When a browser-reviewed cloud plan is worth the handoff, when local planning wins, and how to keep the plan accountable to the repository.
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What Hermes Agent is, where its learning loop helps, and the safeguards I would put around messaging, browser, memory, and scheduled work.
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Companion video
The four Managed Agents concepts, a safe deployment sequence, and the permission boundary to understand before production use.
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Companion video
The installation chain, four maintenance operations, and domain-vault pattern behind a second brain that stays trustworthy.
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A task-by-task comparison of two agent work surfaces, with the permissions, checkpoints, and current-product caveats that matter.
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Companion video
Claude Cowork puts an AI agent inside your files, browser, and apps without writing code. A practical walkthrough for operators who want results, not a dev environment.
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How I think about a Mac Mini, a laptop, selective sync, and a message channel without turning chat into an unrestricted remote shell.
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Companion video
The six-node conversation structure I used for Annie, plus the disclosure, consent, privacy, and human-escalation controls a production voice agent needs.
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Ten useful agent workflows, rewritten around read-only defaults, minimum access, human approval, and measurable outcomes.
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How to adapt the keep-or-discard experiment loop to business problems without pretending every number is safe to optimize automatically.
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A dated operator checklist for context, routing, schedules, subagents, logs, voice, and defense in depth.
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Companion video
A governed three-layer workflow for coordinating agents, applying reusable operating skills, and running constrained experiments.
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How Dispatch, Cowork, plugins, connectors, local tasks, and cloud schedules fit together without conflating their execution boundaries.
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Companion video
Paperclip's organizational model—roles, goals, tasks, budgets, adapters, approvals, and heartbeats—reframed as a human-governed control plane.
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