Clear Cortex

Clear Cortex is an AI workspace where files, notes, data and AI chats stay together between sessions rather than disappearing when a chat thread ends. It offers image and video generation, a persistent canvas for chaining models and files, document-grounded chat through DataStores, and ready-made workflows such as turning an in-person meeting recording into a client-ready brief. It is built for people who want ongoing project context instead of starting from zero in a new chat each time.

Image and Video are ordinary prompt bars: a model is chosen, a request is described, and the price appears on the generate button before it is pressed. Everything generated lands in Assets, a library that can be sorted into folders, favourited and downloaded; the canvas works the same way, keeping work spread across space and still there days later, with the connections showing how each result was reached.

Clear Cortex gives access to seven image models, including Nano Banana 2 and Pro, GPT Image 2, Seedream 4.5 and Flux.2, and seven video models, including Seedance 2.5, Kling 3.0 and Gemini Omni 1.1 Flash, all under one login and one pot of credit. Uploaded product photos can be used as references, with image models accepting between four and sixteen reference images depending on the model, and video models support setting a clip's first and last frame.

A DataStore holds a private corpus of PDFs, spreadsheets, transcripts and notes that the AI queries where it lives, citing every answer back to the exact source page, and a Claude connector lets Claude make images and clips, browse saved assets and sort them into folders, drawing on the same credits as the studios. Ready-made workflows are pay as you go from a free account, and the rest of the platform runs on a monthly credit budget.

Use cases

• Turning an in-person meeting recording into a client-ready brief with decisions and actions
• Generating product or marketing images and short video clips from a prompt
• Using uploaded product photos as reference images for new generations
• Chaining models and files together on a canvas for a complex job
• Querying a private document corpus with citations back to the source