Potter Pal-AI-Driven Pottery Assistant

Example

A potter uploads a photo of a cracked ceramic vase. Potter Pal analyzes the image, identifies the type of crack (e.g., 'dunting' from thermal shock), and suggests specific adjustments in the firing schedule or kiln atmosphere to prevent future occurrences.

Scenario

This function is especially useful in educational settings where students are learning about the technical aspects of pottery and need immediate feedback on their work.

Example

A user requests a high-gloss, turquoise enamel suitable for low-fire conditions. Potter Pal uses its database to generate a recipe, including precise amounts of copper carbonate and frit, ensuring compatibility with the user's firing temperature and clay body.

Scenario

This assists both hobbyists who are experimenting with colors and textures, and professional potters looking to maintain consistency in their product lines.

Example

Based on the analysis of trending pottery images, Potter Pal suggests that a potter focus on creating content featuring their unique sgraffito techniques, as this style is currently popular among online pottery communities.

Scenario

Useful for potters aiming to increase their visibility and sales through platforms like Instagram and Pinterest, where visual appeal plays a crucial role in audience engagement.