MockFlow vs Jitter
Side-by-side trajectory, velocity, and editorial themes.
MockFlow is turning wireframing into prompt-to-plan generation and a bridge to agentic coding tools.
MockFlow (WireframePro + IdeaBoard) is rebuilding a whiteboard and wireframing suite around generative AI. Recent releases turn a single prompt into complete multi-artifact workspaces — wireframes, flowcharts, architecture diagrams, database schemas, Kanban, Gantt — and add an export path that converts wireframes into structured prompts for agentic coding tools.
The product is collapsing the design-to-plan-to-code path: AI plans and generates the full set of artifacts a project needs, then hands them to Figma or to agentic coding tools like Claude Code. AI is also becoming a composable canvas element (AI prompt box, recipes) rather than a single feature.
Expect MockFlow to deepen the design-to-code handoff — richer export to agentic coding tools and tighter Figma round-tripping — and to push AI generation across more board types, grounded in the multi-screen and export-to-prompt features already shipped.
Jitter turns its AI effects engine into a packaged panel — and a pricing tier to match.
Jitter is a browser-based motion design tool shipping weekly, and its center of gravity has moved to AI-generated effects. After launching Jitter AI (build custom effects from a prompt) in May, it has consolidated shaders and effects into a dedicated Effects panel and introduced an AI-heavy Ultra pricing tier. Alongside, it keeps expanding the core editor: components, counters, background blur, glass, and displacement shaders.
The direction is clear — grow the effects and shaders library, let AI generate whatever isn't pre-built, and monetize the resulting AI usage through tiered credits. Editor fundamentals such as reusable components, batch export, and timeline UX are maturing in parallel to keep it viable for team workflows. Jitter is positioning as the place where designers both use and generate motion effects without leaving the canvas.
Expect workspace-level components (already flagged as next), a deeper AI effects library, and more usage-based gating as the Ultra tier establishes AI credits as the pricing lever.
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