PRACTICAL WORKFLOW

Explore a visual direction without changing the design by accident

A controlled image-review method for material, atmosphere and client communication, with geometry checks at each acceptance point.

1. Decide what is allowed to change

Freeze the view and list what must remain: floors, openings, structural rhythm and site context. Define the variable under discussion, such as cladding tone or landscape atmosphere. Keep the original model view beside the experiment.

2. Generate a small comparable set

Use Veras or Graphisoft AI Visualizer within the version and access you actually have. Change one major variable at a time. Record input references and prompts. A longer prompt is not evidence that a requirement was respected.

3. Inspect the image as a proposal

Overlay or compare with the source view. Inspect edges, openings and shadow logic. For every geometry discrepancy, either reject it or explicitly adopt it as a design change in the model. Do not allow a persuasive image to become an undocumented specification.

4. Label the communication clearly

Identify generated concept imagery in the presentation. Separate approved design from mood references and unbuilt options. If generated 3D geometry is adopted, add dimensional and object-editability checks before it enters the project model.

Worked review scenario

Illustrative facade review: keep the same window layout and compare a warmer and a cooler cladding direction. If a generation adds balconies, the image fails this material-only exercise unless the team separately authorizes a design change.

When the pilot is ready to accept

Every accepted image preserves agreed geometry or records an approved change.
The presentation states which images are generated concepts.
References and approval notes allow a colleague to explain the image accurately.

Related tools

Visualization & 3D exploration

Chaos Veras

AI ideation inside a visualization ecosystem. Check whether the output you need is a concept image, an asset or editable scene geometry.

Available · vendor documented

Inputs, limits & evaluation

Model → concept image

Graphisoft AI Visualizer

Explore visual directions from Archicad models and sketches, while keeping the source model as the design record.

Available · vendor documented

Inputs, limits & evaluation

GAD / REFERENCE LIBRARY

Research through architectural questions

116 source-linked records

Explore the collection

Continue exploring architecture: Projects · Practices · GAD calculators & practical tools · Editorial standards

GAD / FURTHER READING

SketchUp AI Render: keep a review record beyond the gallery

A practical SketchUp AI Render review workflow for source views, masked edits, geometry checks and an archive that survives the gallery window.

This documentation-based workflow is not a hands-on product test. Feature access depends on the account. Documentation updates on 21 August and 18 September 2026 are not product launch dates. Gallery expiry does not establish deletion of all saved copies. The Chinese counterpart is an abridged summary.

The most useful AI visualization is one a colleague can explain after the design meeting. What model did it come from? Which changes were deliberate? Which image did the client actually review? These questions deserve the same attention as the prompt.

SketchUp's documentation describes AI Render as a viewport-and-prompt workflow with localized Erase, Paint and Sketch tools. Its Refresh command updates the source view after model changes, while Save writes generated output to the device. The documented Gallery includes the current session and images from the preceding 30 days. That time window makes a separate project record worth planning. Using AI Render · Gallery documentation

Build the record before generating

GAD recommends a small image register rather than an elaborate new system. Give the exercise an identifier and state its purpose, such as comparing two facade finishes. Save the source model revision and an unaltered viewport image. Record the scene name, camera position information available to the team, visible model state and the date. Keep a plain-language list of features that must stay fixed.

For a material study, those fixed features might include bay count, sill heights, roof outline and the relationship to adjoining buildings. The permitted change should be equally explicit. A prompt can express that intention, but acceptance comes from examining the output.

Review the local edit and its surroundings

Work on a small comparison set. When using a localized generative tool, inspect the selected area and the rest of the image. Check repeated windows, railings, shadows, reflections and background context for unintended changes. Use a side-by-side view or overlay with the original. If the camera or source model changes, create a new comparison group; otherwise the team may attribute a visual difference to the wrong cause.

Classify discrepancies as rejected output, an unresolved issue or a proposed design change. A proposed change needs an owner and a separate decision to incorporate it into the model. This avoids treating a persuasive image as an instruction that quietly bypasses design coordination.

Save the decision, not only the favourite

Archive the selected image with its source view, prompt, reference-image attribution, edit sequence and review note. Preserve one rejected example when it explains an important limitation. A simple filename convention can connect the approved image to the meeting record and model revision without depending on gallery order.

Record who approved which aspect: atmosphere, finish direction or an actual geometric change. The distinction is especially useful when a presentation returns months later and its polished image looks more resolved than the underlying design was.

Before sharing, label generated concept imagery and confirm that project and reference images may be used in the chosen service. End the exercise with a compact handover another team member can open independently. Success means an image supports a specific decision and its provenance remains understandable after the immediate generation session.