Blend AI

Blend AI is a web canvas for chaining text, image and video models into reusable workflows, with example flows for product launches, ad localization and storyboards. Creators can publish workflows and earn when others run them.

Blend AI is a web-based canvas where text, image and video models are chained into workflows that can be saved and run again. Instead of switching between separate apps for chat, image generation and video, users build a connected flow once, feed it new inputs, and collect the results in one place. The homepage frames the product as a marketplace of AI workflows, and creators can optionally publish their own and earn when other people run them. The example workflows on the homepage show how it works in practice. A product launch flow takes a single product photo, produces campaign stills with an image model, and writes product page copy, captions and paid hooks with a language model. A fashion collection flow keeps a garment accurate across on-model sets, editorial imagery and short motion clips. Other examples cover ad localization across five markets, brand identity development from a written brief, a storyboard-to-scene pipeline, and batch experiments that multiply products by scenes into 18 controlled variants. Each example lists an estimated cost per run, ranging from about $2.70 to $6.80, along with a stated time saving. Blend names models from several vendors inside these flows, including Gemini, Claude, OpenAI GPT, Flux, ByteDance Seedream and Seedance, and Veo. Users can also chat with any text model directly or let the service route a question to a suitable one. Access is organized around a single plan that covers all frontier models, with 500 free credits each month and no credit card needed to start. The audience is mainly marketers, e-commerce teams, designers and creative studios that repeat the same production steps for many products, markets or formats. Compared with single-model chat tools or standalone image generators, Blend trades simplicity for a node-based way of working, and it sits closer to workflow builders than to a simple chatbot. Teams that only need one-off generations may find that the canvas adds more structure than they need.