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AI field workflow

Generate product copy and images from one structured table row

Write one concrete product concept, generate design candidates before dependent assets, and keep orthographic views, feature imagery, lifestyle shots, a style board, and channel copy attached to the source row.

Kition workspace
Kition product concept row connected to generated design, lifestyle, style-board, and launch-copy outputs

Best for

Product designers, ecommerce teams, creative studios, and founders developing several related assets from one brief.

Input

A product concept with form, materials, audience, interaction, and explicit exclusions.

Output

Connected design candidates, product views, launch images, style direction, and edited channel copy.

The operational gap

Why this work breaks across separate tools

One-prompt-at-a-time generation loses the relationship between the original constraints and later outputs. Copy can describe a different product than the images, and regenerated assets drift in style.

What Kition changes

Keep the source, the Agent, and the result together

A Kition table makes the concept the source of truth. Each AI field has an explicit job, outputs remain attached to the row, and reviewers can compare visual continuity and unsupported claims before selecting deliverables.

How it works

A complete, reviewable workflow.

The goal is not a clever prompt. It is a visible chain from source material to an approved artifact that can be reused.

01

Write a constrained concept

State the product form, materials, interaction, audience, and details that generated assets must not add.

02

Generate the design candidates

Run the upstream design field first and reject concepts that violate the source brief.

03

Create dependent assets

Generate orthographic, feature, lifestyle, and style-board outputs while keeping the selected design consistent.

04

Edit the launch copy

Remove unsupported performance claims and make the channel copy match the reviewed visual direction.

Human review

Check this before the work moves forward

  • Check that every output belongs to the intended concept row.
  • Treat generated images as concept assets, not engineering evidence.
  • Verify every factual product claim before publication.

Outcome

What remains after the Agent finishes

  • One brief drives a connected asset system
  • Visual and copy outputs remain traceable
  • Review happens at the row and field level
  • Approved assets are easier to reuse
Build this solution

Use the product guides, then adapt the workflow.

Start from the documented Kition objects and keep only the fields, review points, and automation your process actually needs.

Ready when you are.

Kition is a desktop AI workspace for connected documents, structured tables, editable designs, whiteboards, visual workflows, and reviewable AI agents.