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Episodes rendered as full photoreal video, frame by frame, by current-generation AI video models. This is the highest-fidelity output in the catalog — suited for streaming platforms, broadcast windows, social distribution, and any context where the audience is watching the show as a finished piece of film.
Each scene is built from a single photoreal frame, paired with fully voiced dialogue, lip-synced character performance, and parallax camera moves. The result reads as cinematic while requiring a fraction of the render time and cost of full video, making it well suited for shows that need a sustainable release cadence without sacrificing visual quality.
The same animatic pipeline as above, rendered in a chosen art direction — toon, voxel, painted, retro, or any style that fits the property. Designed for in-game cutscenes, interstitial story beats, and shows that need to sit naturally inside the visual world of an existing game or franchise.
Shmotime characters embedded directly into a game as real-time NPCs. They speak with synthesized voice and lip-sync, respond to player input, are aware of on-screen context, and can trigger events in the surrounding game world. At this end of the spectrum the show is no longer a finished piece of media — it becomes an interactive layer of the game itself.
Episodes played back live inside a real-time 3D scene that runs in any modern browser. The cast performs as 3D characters on a built environment, with dialogue, voice, and stage direction streaming in from the same episode data every other format uses. Built on PlayCanvas, it suits show-specific destinations on the web — a property hub, a landing site, or any place where the audience expects more than a flat video player.
A lightweight render mode that pairs a single background per scene with simple animated character portraits and the full voiced dialogue track. This is the right starting point for pre-production — useful for testing show concepts, workshopping which scenarios actually play, and getting an entire season outlined and performed before committing time and budget to higher-fidelity assets.
Running a show in Shmotime is split across two surfaces. The Studio is where a showrunner sits down and works by hand — cast, locations, episodes, audience numbers — and Automation is the set of background systems that keep the show producing on its own when no one is at the desk.
The Studio is a single editor that replaces the usual back-and-forth between WordPress admin screens with one game-like dashboard. Every part of a show — its identity, its cast, its world, its episode reel, and its live viewership — sits in front of the showrunner at the same time, with changes auto-saved as they happen.
A combined panel showing the show’s identity — title, description, latest episode — alongside live audience metrics. Lifetime, 7-day, and 30-day totals for views, plays, stories, and multichats are surfaced together with a 30-day daily trend chart, so a showrunner can tell at a glance whether the current run is landing.
A polaroid-style Cast Deck listing every character in the show. Each actor has a global identity — appearance, voice, traits — that’s reusable across shows, with per-show overrides for name and image so the same performer can play different roles in different properties without losing their main profile.
A corkboard of every place a scene can take place. Build locations by hand, or have the AI generate them from the show’s premise, and attach reference imagery and slot assignments so the writers’ room always knows which characters belong where.
The Film Reel is a horizontal strip of every episode in the show, in reverse-chronological order, with thumbnails, season/episode numbering, status, and view counts. One-click actions cover watching, regenerating, and removing episodes, and the same reel works whether the episode was written by hand or produced overnight by automation.
Automation is the half of Shmotime that runs while the showrunner is asleep. Background systems keep the show shipping on a schedule, pull live research from the open web before each episode is written, fold in external data sources, and surface the cast on external channels.
Pick a cadence — hourly, daily, weekly, biweekly, or monthly — and Shmotime will generate and publish a new episode on that schedule. Plot twists, episode-history depth, and scene-image generation are configurable per show, and a one-off “generate now” run can be triggered at any time without breaking the recurring schedule.
Drop a research tag into an episode prompt and Shmotime will run live web research before the script is written — pulling current news, X posts, and community reactions inside a date window computed from the show’s last episode. Preset research profiles cover specific beats (a competitive scene, a news cycle, a niche community), and the results flow directly into the generation context.
Episodes can be informed by sources outside the WordPress site: live web search, structured research presets, and bulk JSON imports for moving an entire back catalog in or out. The show can react to the real world without anyone manually copy-pasting articles into a prompt.
Shmotime episodes play inline inside X (formerly Twitter) timelines on desktop, so followers can watch a new release in their feed without leaving the platform. The integration also runs in reverse — characters in a scene can pull live tweets, YouTube clips, and other web content onto the wall screens behind them and react to it directly in their dialogue.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
