MockFlow vs Air
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.
Air keeps stacking generative models and sharper review tools onto its asset library.
Air is a creative-asset management platform that has grown a multi-model generation surface, Canvas, on top of its core library. Recent weeks added lower-cost model tiers (Nano Banana 2 Lite, Seedance 2.0 Mini), span-based video review comments, a Smart Resize overhaul, and a more capable mobile app. The product now spans storage, in-app AI generation, and review in one place.
The release cadence points at Air becoming a place teams both generate and manage creative, not just store it: every model added to Canvas widens that surface, and the Lite/Mini tiers lower the cost and latency of generating inside Air rather than elsewhere. In parallel, integration and distribution moves (Shopify, WordPress, Premiere Pro, Make.com, LinkedIn Verified Skill) push Air outward into the tools creatives already use. Review workflow keeps getting incremental polish alongside the generation push.
Expect the Canvas model roster to keep expanding with new speed and cost tiers, and continued refinement of the video review workflow — the two threads most visible across recent releases.
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