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AI tools — description, social post, and pricing helpers

How to use the in-dashboard AI tools to write product descriptions, generate social captions, and suggest pricing.

Homegrown includes four AI tools on the AI Tools page (GROW section of your Vendor Dashboard menu): a product description generator, a social post generator, a customer text generator, and a pricing helper. They're built to give you a starting draft you can edit — not a final answer.

Description generator

Stuck staring at the description field on a new product? Enter the Product and What makes it special?, click Generate descriptions, and you get three description styles to choose from.

How to use it:

  1. Open AI Tools

  2. In Product description generator, fill in Product and What makes it special?

  3. Click Generate descriptions and pick the one you like

  4. Copy it into the Description field on your product (Products → your product → orange pencil → Advanced Details), edit anything that doesn't sound like you, and save

Social post generator

Tell it What are you promoting? (a new product, a market this weekend, a seasonal special) and click Generate post. You get a caption plus hashtags for Instagram or Facebook.

Customer text generator

Writes a ready-to-send text for pickup reminders, thank-yous, and updates. Fill in Describe the situation and, if you like, Customer name (optional), then click Generate text.

Pricing helper

Enter What do you make?, Ingredients cost per unit ($), Time per unit (minutes), and Your hourly rate ($), then click Suggest a price. It gives cost-plus-margin suggestions based on your ingredients and time. Use it as a sanity check, not a rule — your local context is always going to know better than an algorithm.

What the AI is and isn't doing

It's drafting. It's not deciding for you. Every output is a starting point that should sound more like you after a quick edit. AI-generated copy that goes out unedited reads like AI-generated copy — and shoppers can tell.

Privacy

The AI tools don't store your store data permanently. Inputs are sent to the model to generate the response, then discarded. Your descriptions, prices, and product info aren't used to train any models.

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