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Fenfair AI use

AI drafts the work. Sellers approve what goes public.

Fenfair uses AI to reduce blank-page work for handmade sellers, not to take over business decisions, customer promises, payment decisions, or public publishing.

Where Fenfair uses AI

Drafting help for seller-controlled work.

Storefront draft generation

Draft

Drafts shop structure, page copy, starter product organization, and launch checklist notes from seller answers.

Product description drafting

Draft

Turns seller-provided materials, options, process notes, and care details into editable product copy.

Marketing email and newsletter drafting

Draft

Prepares seller-approved campaign drafts, subject lines, and repeat-buyer messages.

Training video script assistance

Draft

Helps shape Fenfair training scripts and worksheets before human review.

Customer support classification

Draft

Routes incoming support context internally; it does not answer customers on its own.

Image mockup generation

Draft

Creates illustrative storefront and brand mockups before real product media is attached.

Where Fenfair never uses AI

Decisions stay with sellers and payment systems.

Customer-facing approval

Human gate

AI never gives final approval for storefront publishing, buyer emails, campaigns, proofs, or quote messages.

Pricing decisions

Human gate

Sellers set prices, deposits, balances, fees, discounts, and quote amounts.

Payment processing

Human gate

Stripe handles payment collection, payment method handling, disputes, and payout flows.

Buyer message replies

Human gate

Sellers write or approve buyer replies before anything leaves Fenfair.

Dispute or refund decisions

Human gate

Sellers resolve buyer disputes and refunds with the relevant payment and order context.

Model providers

Which AI services Fenfair uses.

Text generation runs through Anthropic Claude under commercial terms that do not train on Fenfair data. Image generation runs through OpenAI GPT Image under OpenAI commercial terms.

Training data

Seller and buyer data is not model-training fuel.

Fenfair does not train AI models on seller or buyer data. Subprocessor commercial agreements confirm provider-side non-training for the model APIs Fenfair uses.

Image limits

Mockups are labeled before publish.

AI-generated images are labeled "Illustrative mockup - not a real product photo" everywhere they appear before product publish. Sellers must upload at least one real product photo to publish a product. This rule is enforced at the platform level, not optional.

Seller disclosure

Channel rules still matter.

Sellers should disclose AI-assisted product descriptions or photography according to the rules of each channel they use. Etsy, marketplaces, Instagram, and email all differ. Fenfair provides editable AI-disclosure footer text in product descriptions so sellers can keep the disclosure in their voice.