For the small-batch ceramic artist, glaze testing is essential but overwhelming. We snap photos, jot notes, and hope to remember details later. This ad-hoc system creates a “disconnection”: the image is divorced from its recipe, firing log, and measured outcomes. Visual AI offers a powerful solution, transforming your photo library into a searchable, intelligent database for perfecting glaze consistency.
The Foundation: Consistent Visual Logging
AI analysis requires consistent input. Eliminate “inconsistency” by creating a standard “stage.” Use a simple, non-reflective backdrop—a mid-grey matte card is ideal—and always use the same one. This neutralizes variable lighting and backgrounds, allowing the AI to focus on the glaze itself.
Structuring Your Digital Log
Choose a central “tool”: a free digital notebook like Obsidian or Notion, or a dedicated album in Google or Apple Photos. Here, you move from subjective descriptions like “cranberry red” to objective, searchable data.
Pre-Firing: Assign a unique Test ID (e.g., 250415-Shino01). Link it to your master recipe file and note “application” details: dip or brush? How many coats? Was it sieved?
Post-Firing: Log everything. Fill in the “firing log” (cone, atmosphere, peak temp). Record measured “performance”: Did it run? Craze? Fit the clay body? Describe “texture” (bubbled, crystalline) and use objective “color description” (e.g., “rutile blue breakout on iron amber base”). Critically, add at least 5 descriptive tags like #shino, #carbon_trap, #matte.
Unlocking AI-Powered Search & Insights
This structured data solves “unsearchability.” You can now ask your log complex questions an AI can parse: “Show me all glazes with a gloss meter reading >70 GU that are also stable on vertical surfaces.” Before mixing a production batch, review the visual log. Did the last test show minor pinholes? Note to sieve twice. This turns hindsight into a precise, repeatable workflow.
By pairing disciplined documentation with visual AI’s pattern recognition, you build an institutional memory for your studio. Each test becomes a permanent, actionable asset, driving toward flawless batch consistency and creative discovery.
For a comprehensive guide with detailed workflows, templates, and additional strategies, see my e-book: AI for Small-Batch Ceramic Artists & Potters: How to Automate Glaze Recipe Calculation and Batch Consistency Tracking.