Glif

It is designed for professional creatives who want to avoid app switching and prompt engineering. Users describe what they want and Glif chooses the appropriate models and executes the work across media types. The system emphasizes handling multiple media outputs from a single conversation and aims to streamline creative workflows.

Glif presents itself as a tool that keeps context with the user. References and briefs are retained so assets stay aligned with the original vision across the project. It supports starting from a brief and continuing work where the user has previously worked, integrating with other agents the user already uses. The emphasis is on continuity and consistency of assets across the project.

Glif offers a range of media capabilities, including image, video, audio, and language models. It selects appropriate models for each part of the brief and includes tools to evaluate which outputs are better designed. The platform highlights model flexibility and the ability to apply different AI tools in a cohesive workflow within one chat.

Glif documents plans to include multiple models and tools for different outputs, and mentions the ability to connect Glif to other agents like Claude, Codex, Cursor, among others. While specific platform availability is not enumerated in the text, the product describes multi-model, multi-modal generation and integration within a shared environment.

Use cases

• AI image, video, and audio generation from a single chat for professional creatives
• Create product shots, scenes, and lookbooks with consistent styling