By Alex Tanoa · Updated October 9, 2026

The Static Ads Agent reads supplied product packshots, reference advertisements, and a creative brief, then develops benefit-led ad concepts and generates static variants. Its current canvas includes square 1:1 and vertical 9:16 outputs, with reference analysis feeding copy patterns, audience and pain-point cues, concepts, and image prompts. Pletor describes the workflow as Amazon-focused; the saved canvas also contains social-story formats, so final placement specs and copy claims still need human verification.

Output examples

• 
  Protein powder — purity concept
• 
  Protein bar — crunch and taste concept
• 
  Chocolate protein bar — indulgence concept
• 
  Product range — promotional bundle concept
• 
  Protein shake — protein benefit concept

How it works

01

Your inputs

Packshot + references

Product packshots · Reference ads · Creative brief

02

Brand context

Your brand rules, palette, product facts, and approved references — applied to every prompt in the run.

03

Bounded generation

1. 01Product and Reference Intake
2. 02Reference Analysis
3. 03Concept Development
4. 04Prompt Expansion
5. 05Static Creative Generation
6. 06Human Review

Claude Opus 4.6/4.7 · Nano Banana · GPT Image 2

04

Automated quality pass

Keep product packaging and identity aligned to the supplied packshot.

05

Human approval gate

Human review is required before any ad is approved for publication.

06

Delivery

Multiple benefit-led static ad concepts informed by the supplied references

The path from supplied inputs to delivered output. Step details follow.

1. 01

   Product and Reference Intake

   The flow combines uploaded product packshots, reference advertisements, and the written brief; brand context can also be supplied on the canvas.

2. 02

   Reference Analysis

   Language-model nodes extract copy patterns, audience and pain-point cues, and visual direction from the provided reference ads.

3. 03

   Concept Development

   The concept agent uses those analyses to build a set of reference-aligned concepts alongside new variations.

4. 04

   Prompt Expansion

   The prompt agent turns concepts and product context into individual image-generation prompts, which are split for parallel production.

5. 05

   Static Creative Generation

   Image nodes generate square and vertical concepts using the supplied packshots and, where connected, reference ads.

6. 06

   Human Review

   A person checks product fidelity, text rendering, factual claims, brand fit, and the destination platform's current specifications before use.

Inside the Pletor flow

The screenshot shows this workflow in its Pletor editor.Open flow in Pletor ↗

Brand, factual, and quality controls

• —Keep product packaging and identity aligned to the supplied packshot.
• —Check all generated text and product claims against approved source material.
• —Verify final dimensions and policies for the intended advertising placement.

What this workflow does not automate

• —Generated text and fine packaging details may need correction; outputs are creative drafts, not platform-compliance certification.

What you own

• —Provide approved product packshots, reference ads, and a clear brief.
• —Verify product details, claims, offers, legal copy, and final ad specifications.
• —Approve all creatives before they are published or placed in media.

Typical turnaround

Illustrative ranges based on comparable production work, not a guaranteed delivery time. Actual turnaround is scoped per engagement.

Operating evidence

No measured performance results are published for this workflow. The images above show production outputs.

Related workflows

Frequently asked questions