I Built a Local AI Research Assistant in a Weekend — Here's Exactly How
Ollama + Obsidian + a bit of glue code. No cloud, no subscription, no data leaving your machine. Full walkthrough inside.
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Artificial Unboxed unpacks AI tools, concepts, workflows, and mindsets — making them tangible, actionable, and exciting. No fluff. No corporate speak. Just the real thing.
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"I didn't know that.
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Finally shipped my AI content pipeline using n8n + Claude. The whole thing runs unattended — drafts, edits, formats, publishes. Took a weekend to build. Happy to share the workflow if anyone wants it.
Everyone keeps saying "AI will replace programmers." I just spent 3 hours debugging an AI-generated function. The skill required to even *read* the output is underrated. We need better conversations about what "replace" actually means.
The shift from "AI as tool" to "AI as colleague" is happening faster than I expected. Noticed it when I caught myself saying "ask the model" instead of "run a search." Anyone else feel this language shift happening?
Did a deep dive on RAG vs fine-tuning this week. Short version: RAG wins when your data changes fast, fine-tuning wins when you need behavioral shifts. Would love to see AU do a proper breakdown — the internet is full of bad takes on this.
Honest question: does anyone else feel weird about using AI to help write personal things — apology letters, condolence messages? I've done it and I feel both helped and a little hollow about it. No judgment, just curious.
Built a local Whisper + Ollama setup that transcribes meetings and auto-generates action items — all offline, no cloud, nothing leaving my machine. Setup was rougher than expected but the result is chef's kiss. AMA if you're attempting this.
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Everyone is obsessing over which foundation model is best. But the companies winning with AI aren't necessarily running the best models — they're building the best wrappers, the best data pipelines, and the best UX. Here's what's actually under the hood.
Read Article →Ollama + Obsidian + a bit of glue code. No cloud, no subscription, no data leaving your machine. Full walkthrough inside.
The discourse is loud. The benchmarks tell a more complicated story. We dug into the evals so you don't have to.
Agent demos look magical. Deployed agents are messier. Here's an honest map of where the technology actually stands right now.
Is it still your work if AI helped? An honest, non-philosophical, real-world take from someone who writes with AI every day.
Retrieval-Augmented Generation explained without the jargon. What it does, when it's useful, and when people oversell it.
Beyond "be specific." A structured approach to writing prompts that actually do what you want — with real before/after examples.
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