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Prompts and workflows

GPT-5.6 Terra · prompt

Generating Entrance Animations and Layout Variations in Framer Agent with GPT-5.6 Terra

Till Janek's Framer case combines a few design choices, design-system constraints, and page-level animation variants for Terra-led visual exploration.

Source not verifiedGPT-5.6 Terra client or API; confirm the live model ID, tools, permissions, and version before execution.

Prerequisites and inputs

  • task goal
  • source or reference material
  • runtime constraints
  • acceptance criteria

Complete templates

Editorial adaptation: task template

Tabbit editorial adaptation; not the original source prompt
On the Framer {{PAGE_TARGET}}, ask Terra for {{VARIANT_COUNT}} {{ANIMATION_GOAL}} variants for {{SELECTED_ELEMENT}} while preserving {{DESIGN_SYSTEM}} and {{BREAKPOINTS}}. Apply {{CHOSEN_VARIANT}}, then check {{RENDER_ACCEPTANCE}}, {{INTERACTION_ACCEPTANCE}}, and {{ROLLBACK_POINT}}; a visual draft is not a production performance proof.

Before running, fill every variable and return each value in the acceptance record.

Replace before running: {{PAGE_TARGET}}, {{SELECTED_ELEMENT}}, {{VARIANT_COUNT}}, {{ANIMATION_GOAL}}, {{DESIGN_SYSTEM}}, {{BREAKPOINTS}}, {{CHOSEN_VARIANT}}, {{RENDER_ACCEPTANCE}}, {{INTERACTION_ACCEPTANCE}}, {{ROLLBACK_POINT}}

On the Framer {{PAGE_TARGET}}, ask Terra for {{VARIANT_COUNT}} {{ANIMATION_GOAL}} variants for {{SELECTED_ELEMENT}} while preserving {{DESIGN_SYSTEM}} and {{BREAKPOINTS}}. Apply {{CHOSEN_VARIANT}}, then check {{RENDER_ACCEPTANCE}}, {{INTERACTION_ACCEPTANCE}}, and {{ROLLBACK_POINT}}; a visual draft is not a production performance proof.

Read the source research notes

One-sentence takeaway

By structuring prompts to "ask a few key questions first, execute all changes uniformly, and preserve the existing design system," users can leverage Framer Agent with Terra to quickly complete page-level animation or layout exploration.

Suitable use cases

  • Suitable tasks: Framer page animations, layout variations for selected elements, and low-risk visual iterations.

  • Unsuitable tasks: Tasks requiring rigorous performance validation, cross-project architectural refactoring, or direct production deployment without human review.

  • Applicable model versions: GPT-5.6 Terra (written as "GPT 5.6 Terra" in the original post).

  • Applicable clients, agents, or APIs: Framer Agent; @ page and selected element in the prompts are Framer UI syntax.

  • Recommended reasoning tier and parameters: Parameters were not disclosed in the original post; use Framer defaults, and validate visual results with medium/high reasoning first.

Copy-ready content

Entrance animations

Animate all elements on @ page with entrance animations. /ask-me only these five questions and let me answer them through the UI: What animation style should be used? (Fade, Slide, Blur, Custom). When should the animation trigger? (In View, On Appear). Should the animation replay? (Yes, No). Should elements within the same visual group animate one after another with a short delay, while separate sections animate independently? (Yes, No). What delay should be used between elements in the same visual group? Apply the chosen settings consistently across all eligible elements while preserving the existing layout, styles, and interactions.

Layout variations

Create layout variations for "selected element" while preserving the existing visual style, branding, components, colors, typography, spacing system, and interactions. /ask-me only two questions and let me answer them through the UI: How many layout variations should be created? How experimental should the variations be? (Conservative, Balanced, Experimental). Each variation should explore a different content structure and hierarchy while remaining fully usable and consistent with the existing design language. Do not redesign the visual identity, only the layout and composition.

Results and configuration reported in the posts

  • Animation case: The author reported completion in approximately 40 seconds, consuming no more than 38 credits.

  • Layout case: The author reported generating multiple variations in approximately 50 seconds, consuming around 40 tokens.

  • Both prompts instruct the agent to ask questions via the UI first before applying choices in a single pass; this is a prompt-level interaction pattern, not API-level schema enforcement or permission control.

How to use

  1. Open the target page in Framer; apply the animation prompt to @ page, and apply the layout prompt to the currently selected element.

  2. Paste the corresponding prompt, directing the agent to only ask the multiple-choice questions specified in the prompt.

  3. Preview and inspect a single page or selected element before batch-applying changes across other pages.

  4. Verify responsive layout, accessibility, interactive behavior, and animation performance; if unsatisfied, revert to the original version and adjust selections.

Boundaries

  • Reported speed, credits, and tokens reflect the author's individual Framer environment observations, not standardized throughput benchmarks for Terra.

  • The original posts did not disclose the target pages, complete input files, repetition counts, or automated evaluation scores; success rates cannot be generalized from these claims.

  • @ page, selected element, and /ask-me are specific to Framer Agent; porting them to Codex or raw APIs requires adapting them to the target platform's object model and interaction protocols.

Source and dates

X · Source date: 2026-08-01 · Edited: 2026-09-20

Read the original source
Variable checklist

Still to replace: 10

{{PAGE_TARGET}}{{SELECTED_ELEMENT}}{{VARIANT_COUNT}}{{ANIMATION_GOAL}}{{DESIGN_SYSTEM}}{{BREAKPOINTS}}{{CHOSEN_VARIANT}}{{RENDER_ACCEPTANCE}}{{INTERACTION_ACCEPTANCE}}{{ROLLBACK_POINT}}

Related prompts

GPT-5.6 Terra API Model Parameters and Tool ConfigurationGPT-5.6 Terra Frontend Interaction Prototype Prompts and Validation WorkflowGPT-5.6 Terra Long-Context Cost Thresholds and Routing WorkflowSol-Advisor: A Codex Workflow with Sol for Orchestration, Terra for Complex Execution, and Luna for Routine Execution

Related reviews

GPT-5.6 Terra: SonarSource's Retest of Code Quality and Security on 4,444 Java TasksGPT-5.6 Terra System Card: Safety Guardrails and Agent BoundariesOfficial OpenAI GPT-5.6 Terra Benchmarks, Pricing, and Task BoundariesGPT-5.6 Terra: Artificial Analysis Intelligence, Cost, and Coding Agent Indices

Read the full analysis

Overview · English

GPT-5.6 Terra: What It Is, Access, and Where It Fits

A sourced GPT-5.6 Terra overview covering API limits, Sol and Luna differences, access surfaces, cost boundaries, and practical risks.

GPT-5.6 Terra

Use GPT-5.6 Terra in Tabbit

Run this guide in the environment listed above. Downloading does not transfer the template or establish model availability for your account.