Everygen AI

Everygen AI is a generative image tool. Everygen AI (formerly Viewmax) gathers Seedance, Kling, MiniMax, Veo, Gemini and image models in one studio with Shorts, UGC, ad and avatar workflows, plus an MCP bridge into Claude and ChatGPT.

Everygen AI, previously known as Viewmax, is a web studio that bundles several top-tier video and image models behind a single account and credit balance. Instead of subscribing to each model provider separately, creators pick a task (a short, a UGC clip, an ad, a product shot) and Everygen routes the work to a model such as Seedance 2.5, Kling 3.0 Turbo, MiniMax H3 Max, Veo 3.1, Gemini Omni 1.1 Flash, Nano Banana Pro or GPT Image 2. The site pitches itself at short-form publishers, performance marketers and small brands that need a steady output of vertical video rather than a single prestige render. The product is organised around ready-made studios rather than a bare prompt box. Shorts Studio takes a proven short-form format and rebuilds it with your subject, Marketing Studio is aimed at creating and cloning winning ads, and the video generator handles freeform text to video across the supported models. There is a preset library covering formats like bodycam, trail cam, courtroom, ranking and 3D visuals, plus a set of directable avatars that can be driven from a script for talking-head and testimonial content. Image generation sits alongside for stills, thumbnails and product visuals. A notable extension is the MCP integration, which lets Claude and ChatGPT call Everygen tools directly. A prompt typed into a chat assistant can return a finished 9:16 ad with a hook, captions and voiceover, which suits teams already working inside those assistants. The company reports usage by creators with billions of views, and the rebrand from Viewmax kept existing accounts, credits and projects intact. Compared with single-model tools, the appeal is breadth and format literacy: one bill, many engines, and templates tuned for social output. The trade-off is that depth on any one model depends on the provider, and fine-grained control over generation parameters is largely abstracted away in exchange for speed.