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Framer 3.0 Is More Than Another AI Website Builder

2026-06-17 · 15:22 UTC ·DesignCode ·1 min read

Brief

Framer 3.0 (video review/tutorial) introduces an agent workflow that generates full Framer projects rather than static HTML: outputs become editable layers, components with variants, hover states, and inspector controls. The reviewer (DesignCode) compared basic and detailed prompts, imported design context, and tested reusable components and device variants, but two generated pages used 1,356 credits, exceeding a 1,000 monthly cap.

Why it matters

Framer 3.0’s new agent mode generates designs directly inside Framer as real project assets — layers, components, hover states, responsive variants, and inspector-editable sections — enabling componentized, canvas-first edits that are more maintainable than chat-first AI website builders.

Key details

  • In the author’s test (DesignCode, published 2026-06-17), two landing page generations consumed 1,356 credits and exceeded a 1,000-credit monthly limit, showing credit costs may hinder iterative AI-driven design; tests compared basic vs detailed design-system prompts, imported design context, and desktop/tablet/phone variants.
Source evidence

Framer 3.0 just launched with a new agent workflow, so I tested it from the perspective of someone who has built with Framer, Figma, Sketch, Codex, Aura, and AI landing page tools for a long time.

The interesting part is not simply that Framer can generate a landing page.

The interesting part is that it generates inside Framer.

That means the output can become layers, components, hover states, responsive variants, inspector-editable sections, and a real Framer website project.

Resources:
- Framer: https://framer.com
- Aura Build: https://aura.build
- Screen Recording: https://dreamcut.ai

In this video I test:

  • Framer's new agent mode
  • a basic prompt vs a detailed design-system prompt
  • importing design context into the workflow
  • reusable components
  • desktop, tablet, and mobile variants
  • hover states and inspector controls
  • how the output compares to AI website builders
  • why the canvas matters
  • where the design still feels AI-generated
  • the credit usage after two landing page generations

The good:
Framer's canvas makes AI output much more editable and maintainable than a normal chat-first website builder.

The concern:
In my test, two landing page generations used 1,356 credits and exceeded a 1,000-credit monthly limit. That matters because AI design needs iteration.

Chapters:
00:00 Framer 3.0 and the agent direction
01:15 Pricing, hosting, and monthly credits
03:00 New Framer project and agent mode
04:00 Testing a stronger prompt
05:20 Adding a design-system prompt
06:20 Dragging design context into Framer
07:00 Agent questions and reusable components
08:10 Basic prompt result
09:15 Agentic design tools vs chat-first builders
10:10 Componentized generation on the canvas
11:30 Why detailed prompts work better
12:20 Giant prompts as landing page blueprints
14:00 Hover states, icons, and inspector controls
16:00 Tablet and phone variants
17:40 Running out of credits
19:05 Finding workspace credit usage
20:20 Model and project credit breakdown
21:00 Why credit pricing matters for iteration
22:30 Paper, Figma, Magicpath, Aura, and Framer
23:20 Previewing the generated site
24:25 Final take on Framer 3.0

Channel: DesignCode
Published: 2026-06-17
Video URL: https://www.youtube.com/watch?v=OZaE5ZezjYs