An Always-Free Lab for Your AI Agents
A free computer that stays on: Tailscale, a 150 GB disk, and the notes that keep your agents from eating the work.
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A free computer that stays on: Tailscale, a 150 GB disk, and the notes that keep your agents from eating the work.
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How a side project for my sister's practice became ArturoMed, commercial medical software in Ecuador, and what charging for it taught a Product Designer.
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How I audited my Claude Code setup with real usage data, archived 90% of it, and got better results for fewer tokens. A cleanup method for product people.
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Loop engineering replaces you as the person who prompts the agent. You design the system that does it instead — five pieces, one memory, and a verifier you trust.
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How I built a ticket-based workflow where Claude Opus 4.8 orchestrates OpenCode, cutting token waste while preserving review, visibility, and control.
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CareerOps, content curation, and Obsidian automation: three AI pipelines that replaced months of manual work with systems that run on their own.
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A Product Designer's honest case study: building a real medical scheduling SaaS with AI, surviving a cryptominer attack, and everything it took to recover.
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The gap between your Figma file and what ships has always been a negotiation. AI just handed you the power to end that negotiation on your own terms.
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You already use Claude Code. But if you're still typing the same prompts session after session, you're burning time on infrastructure instead of work. Here's how to build the system that professionals run on.
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Before asking AI to build 'a flawless YouTube clone', read this. A survival manual for designers and creatives who want to build real products with AI without destroying themselves in the process.
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