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Glif transforms the traditional AI development process into an expressive, visual experience.
It combines prompt design, logic flow, and user interface creation within one fluid workspace.
Users can connect OpenAI, Anthropic, and custom APIs to design intelligent systems visually.
Its graphical editor feels intuitive for designers yet powerful enough for engineers.
You can prototype, debug, and deploy apps all in the same session.
Each node represents an action — a prompt, an input field, an image generator, or a data function.
AI assistance recommends workflow patterns based on your goals (“create chatbot,” “summarize docs,” etc.).
Glif supports cloud deployment and instant public sharing.
It’s the perfect playground for experimentation — from teaching logic to designing interactive content tools.
For teams, built-in collaboration, version history, and cloud sync keep projects aligned and accessible anywhere.
Glif empowers everyone to create structured, scalable AI applications visually — merging art, logic, and automation into one platform.

Key Features

  • Visual drag-and-drop AI builder

  • “Build with words” natural-language workflow generation

  • Multimodal input (text, image, voice, data)

  • Instant publishing and embed options

  • Team collaboration and live editing

Industries

  • App Development

  • Workflow Automation

  • Design & Creativity

  • Education & Training

  • Business & Automation

Glif is where visual creativity meets computational logic, enabling anyone to “think in flows” and turn abstract ideas into interactive tools. A content creator builds an AI script generator that turns trending topics into video outlines with one click. A designer uses Glif to create an interactive color-palette recommender driven by GPT-4 vision. A small marketing firm designs a client portal where the AI writes ad copy, analyzes keywords, and displays live charts — all built inside Glif. An education startup creates a personalized tutoring system that adapts its teaching style based on student responses. A social-media strategist automates caption writing, scheduling, and engagement analysis through connected Glif blocks. Developers use it to visualize complex multi-model pipelines that combine image and text generation. Artists experiment with generative storytelling — connecting image prompts, narrative logic, and animation outputs in one canvas. A business consultant prototypes a data-driven decision assistant that pulls live statistics and summarizes outcomes. Teachers illustrate programming concepts by having students “draw” logic rather than code it. A UX agency builds AI wireframing tools to brainstorm layouts collaboratively. A mental-health coach creates a journaling chatbot that reflects mood tone and progress visually. Nonprofits design AI-powered knowledge portals that simplify community support queries. A fashion retailer prototypes a virtual stylist experience integrated with product APIs. Teams collaborate in real time, leaving comments, editing nodes, and exporting finished tools as web apps. Developers embed Glif workflows into websites via simple iframes or API endpoints. It becomes a learning, creative, and operational engine across sectors. Every workflow in Glif can evolve from playful prototype to commercial-grade app effortlessly. By fusing design thinking with AI logic, Glif enables a new generation of visual creators to innovate faster and smarter.

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