Pimbles are configurable AI prompts that help teams generate, enrich, standardize, and validate product data at scale—making content creation, metadata, and compliance effortless.
Pimbles are configurable AI prompts that use the LLM of your choice (ChatGPT, Claude, Gemini, LLaMA, DALL-E, or even your own custom-trained, in-house LLM), allowing users to create and assign different AI “instructions” (aka Pimbles) to fields such as product titles, feature bullets, descriptions, specifications, SEO metadata, and even back-office fields like compliance notes or internal tags.
Once configured, Pimbles can be applied across thousands of SKUs with a few clicks, removing repetitive work and unlocking massive productivity gains for data teams, marketers, merchandisers, and eCommerce managers alike.
Use Pimbles to generate, extract, enrich, standardize, and validate your product data. Explore potential workflows below.
Make your Pimble easy to find with a helpful name and description.
Select your preferred LLM and the attribute you want to generate.
Add dynamic fields, media files and context to shape the output.
Preview outputs and fine-tune results before saving your Pimble.
Filter and run Pimbles across thousands of products in seconds.
Then, either pass the outputs through human approval or automatically publish.
What LLMs do Pimbles use?
Pimbles lets you choose the large language model that best fits your needs. You can select from ChatGPT, Claude, Gemini, LLaMA, DALL-E, or even your own custom-trained, in-house LLM. This gives teams the flexibility to leverage the model that aligns with their workflow, compliance requirements, or domain-specific expertise.
What governance and safety features do Pimbles have?
To ensure governance and safety, every Pimble includes a full audit trail of all versions and iterations, enabling teams to test, record, and review workflows with complete visibility and control.
Can Pimbles handle large volumes of product data?
Yes. Pimbles is built for scalability, allowing teams to process thousands of SKUs at once. It can automatically generate descriptions, extract specifications, enrich content, and validate data in bulk, saving time and reducing manual effort.
How are Pimbles different from CopyAI?
CopyAI focuses on automating the copywriter’s workflow. It’s available directly in the product description section, giving copywriters the freedom to generate multiple versions of product marketing copy, make edits and iterations, and keep their entire workflow inside Pimberly. Pimbles, however, is a separate workflow where you apply AI to selected product attributes. This makes Pimbles more versatile, supporting a wide range of use cases beyond marketing copy, including metadata generation, content enrichment, standardization, and compliance validation.
