How to Write Floral Product Descriptions with AI

A product description should help a client picture the finished design, understand what they are choosing, and know what to expect. Writing that copy for every bouquet, boutonniere, centerpiece, and custom floral line item can also become repetitive.

In this workshop, Curate Head of Customer Support and Success Jamie Martin shows how to use Curate AI Assist to turn recipe components and Project context into polished floral product descriptions. She then saves the process as a reusable Skill that other team members can follow.

Watch the floral product description workshop

The demonstration starts with a bridal bouquet that has recipe components but no client- facing description. Jamie opens AI Assist from the Project’s order screen, asks it to review the relevant line item, and creates a first draft without retyping the full recipe.

Why floral product descriptions matter

Photos show the design. A useful description adds the experience around it. It can explain the palette, texture, style, and overall feeling while setting clearer expectations for the client.

That context also helps reduce follow-up questions. Instead of leaving a client to interpret a product name and image on their own, the description connects the individual flowers and design choices to the event they are planning.

AI Assist can prepare that first draft using information already connected to the Project. The florist still reviews the result, applies their expertise, and approves the language that reaches the client.

Start with a clear prompt and useful context

Jamie begins with a short instruction:

Please look at the components of the line item called bride and write a brief farm-themed description.

Because AI Assist is open inside the Project, it can review the order, find the requested line item, and use its recipe components as source material. The prompt supplies the remaining direction: which line item to describe, how long the result should be, and the theme it should reflect.

This is a practical pattern for writing floral product descriptions with AI:

1. Identify the exact line item.
2. Point AI Assist to the source information it should use.
3. Describe the intended style, setting, or experience.
4. Set a useful limit, such as a brief client-facing description.

The first prompt does not need to carry every possible instruction. It needs enough context to produce a draft you can evaluate.

Refine the description through conversation

After reviewing the first result, Jamie changes the event direction from a farm theme to a beach-inspired wedding. AI Assist revises the existing description while retaining the useful details from the line item.

She can then ask for smaller changes, such as removing a phrase or replacing a word that does not fit. This keeps the work moving without rebuilding the description from the beginning each time the creative direction changes.

Once the copy is ready, it can be added to the line item description on the order. If the product will be sold again, the updated item can also be saved to the catalog for use in future Projects.

Turn the finished workflow into an AI Skill

A strong result for one product is useful. A repeatable process is more valuable when several people create proposals and product descriptions.

Jamie asks AI Assist to create a Skill based on the workflow they just completed. Curate builds the Skill instructions from the conversation, then saves it to the organization’s Skill library. Other team members in that Curate account can use the same Skill without reconstructing the original sequence of prompts.

She tests the new Skill on the groom’s boutonniere. AI Assist reviews that line item’s components and follows the same description process, including the beach-inspired context established earlier in the conversation. Jamie reviews the copy, adjusts the wording, and adds the final version to the order.

That review step remains essential. A reusable Skill can make the starting process more consistent, while the florist remains responsible for design accuracy, client fit, and the final language.

Build AI into a process your team can reuse

The same approach can support other recurring work inside Curate. Jamie points to Skills for reviewing upsell opportunities, preparing social posts from Project information, and creating checklists. The useful starting point is a task your team already understands and knows how to review.

For a broader walkthrough of building and testing reusable Skills, watch From Prompt to Process: Making AI Reliable for Your Business.