Modeltion

Modeltion is a visual AI workflow builder that lets you create and test multi-step AI workflows on an interactive canvas. You connect prompts, images, and API calls without writing code, making it accessible to developers, marketers, designers, educators, and creators who want to quickly prototype AI flows. The platform uses a bring-your-own-key model, so you supply API keys for supported models like Gemini and Groq, and pay a flat fee for the tool rather than per-token usage—no hidden markups. On the canvas, you can wire multi-step workflows, remap connections on the fly, and see intermediate outputs update as you tweak inputs. This is handy for experimenting with prompt chains, running side-by-side model comparisons, and adding custom HTTP endpoint nodes for specialized integrations. A library of 28 reusable starter templates speeds up common tasks like ad copy generation, image annotation, and packaging-concept storyboarding. Image annotation and masking tools let you mark up visual inputs directly in the flow. Built-in run history and output logging keep a record of your experiments, while autosave and version management let you iterate without losing progress. JSON export enables you to hand off a finished workflow to a production system—though Modeltion itself is not built for production-scale deployment. It serves as a lightweight sandbox for creative ideation, marketing sprints, research briefs, and educator toolkits. Compared to orchestration-heavy platforms that lock you into their model pricing, Modeltion keeps costs predictable with your own keys. It’s a fast, flexible tool for exploring what’s possible with AI workflows, not a heavyweight production engine—and that’s exactly the right trade-off for many teams.