Our 66-second monster movie — helicopter, dragons, a meta twist — cost $16 including every failed take. The full filmmaking pipeline: storyboards, cloud + local animation, score, assembly.

LLMs are goldfish by default. The file-based memory pattern that gives a local assistant identity, user context, and continuity — the same architecture ours runs on.

Our presenter, her news-anchor self, and every character voice in our videos share infrastructure: one local LLM, swappable voices, swappable faces. The architecture that makes characters cheap.

Free, unlimited, private image generation at home — the ComfyUI setup we generate hundreds of images a day on, explained for a first-timer.

One local model, six daily superpowers — chat with your documents, digest long videos, summarize voice memos, build study guides, prep interviews, draft anything — all offline and private.

The complete recipe behind our presenter’s locked identity — dataset rules, local AI Toolkit vs cloud Civitai training, the strength dials that matter, and the four rules we paid to learn.

Our whole stack — image generation, the LLM brain, everything — is reachable from a phone on the other side of the country, with zero open ports. Tailscale setup in fifteen minutes.

Every caption on our channel — including karaoke-timed lyrics — comes from faster-whisper running locally. Setup, word-level timestamps, and the two tricks that fix the words it always gets wrong.

The full blueprint for a fully-local AI companion — speech in, animated talking character out — running on one consumer GPU. This is the map; every stage links to a hands-on guide.

Design a voice once, clone it forever: how we gave Aillex a warm, consistent voice with NeuTTS Air — zero GPU cost, zero per-word fees, fully offline.