Local AI automation · Solo operators
AI that runs on your hardware: your machine, your models, your rules.
Self-hosted AI systems and the kits that run them. The cloud vendors rent you OpenAI by the token. We hand you the keys.
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Blog & News
Field notes from the local-AI trenches
The latest news and field notes from the local-AI trenches: break-even math, build logs, and what we learned shipping self-hosted systems. This week's local-AI release roundup is live now.
Local AI Stack Update: Unsloth, ComfyUI, and Ollama
Three releases this week impact local workflows: Unsloth adds support for Qwen3.8 and DeepSeek-V4, ComfyUI fixes nested latent sampling, and Ollama improves image transcoding.
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The August Release Wave: Local AI Tooling Leveled Up
In one week, Ollama, n8n, and ComfyUI all shipped local-first upgrades you can self-host today.
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€200/mo in Cloud AI Was a Choice, Not a Law
The 3-year math on a €200/month AI stack vs a used RTX 3090 you own. ~€6,400 saved, zero subscriptions, data that never leaves your machine.
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The $0.27/Hour Cloud Exit: What You Actually Pay Per Token
Cloud AI bills hide the real price per token. Amortize a used RTX 3090 over a year and local inference lands near $0.27/hour of use.
Read →Why local
Local is the architecture, not a slogan.
Cloud AI sends your client contracts, SOPs, and prompts to a vendor. Local AI keeps them on your drive. Here is the actual math.
A used RTX 3090 (~€800) replaces roughly €200/month in cloud subscriptions. Over three years that is about €6,400 kept in your pocket, and your data never leaves the building. Where cloud is genuinely better (rare, specific cases), we say so.
Proof
What we actually shipped.
We sell the systems we run. No stock photos of other people's dashboards: here's the real stack.
The break-even math is public: a used RTX 3090 (~€800) replaces roughly €200/month in cloud subscriptions, about €6,400 kept over three years, and your data never leaves the building. Read the full swap list in The Local AI Stack for Solo Operators.
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See how local-AI ownership stacks up.
Honest side-by-sides against the enterprise vendors and the cloud bill.
FAQ
Honest answers to the usual questions.
On the self-hosted (Model B) build, no. Ollama, ComfyUI, and your RAG stack run on your hardware. We only see what you choose to share with us during the build.
Honest tiers: many products run on CPU for small corpora, or on an 8GB laptop GPU. The audit guide lists exactly what fits at 8 / 16 / 24GB VRAM.
A used RTX 3090 (~€800) replaces about €200/month in subscriptions. Over three years that is ~€6,400 kept. We state the break-even math in the free audit.
Local-first means you control availability. The system runs on your own hardware, so there is no third-party AI vendor in the loop, your data stays on your machine.
Almost. Where a cloud tool is genuinely better for a specific job, we say so rather than force a local workaround.