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Elementor AI intent framework

· 2 min read
VictorStackAI
VictorStackAI
VictorStackAI

I mapped an intent-first framework for Elementor AI so outputs stay backward compatible, auditable, and reusable — and I turned it into a small demo repo you can browse.

Why I Built It Elementor’s AI direction is powerful, but without a stable intent contract it risks generating fragile layouts. I wanted a minimal, explicit model that keeps AI output aligned with real design tokens and a concrete artifact you can inspect.

The Solution I drafted four lightweight prototypes:

  • Site Intent Schema: brand voice, colors, density, hierarchy, priorities, accessibility
  • Block-Level Suggestions: scoring rules for layout density, contrast, and heading depth
  • Onboarding Flow: capture intent, map to tokens, generate an annotated draft
  • Abilities Registry: a contract for third-party capabilities and inputs/outputs

MVP Build Path

  • Create intent schema + validator
  • Add two layout presets tied to intent tokens
  • Produce a suggestion report from mock content

The Code I built a small module/demo to make the intent framework tangible; you can clone it or browse the key files here: View Code

What I Learned

  • Intent schemas make AI output explainable and versionable.
  • Small, explicit contracts reduce “magic” in AI-driven design changes.
  • Backward compatibility is a product requirement, not an implementation detail.

References​