CONTENT CREATION
Generate localized product descriptions when a SKU lands in Airtable
When a new product row appears in Airtable, generate brand-voice descriptions in every target locale and write each translation back to its own field, ready for catalog export.
How it runs
The automated pipeline, trigger to output.
- TriggerNew product SKU row created in AirtableAirtable
- ActionRead SKU attributes + brand-voice configAirtable
- LogicLoop over each configured target locale
- ActionGenerate native description per localeOpenAI
- OutputWrite each locale's copy to its fieldAirtable
What it does
This workflow turns a bare product row into a fully localized listing the moment it is created. When a new SKU is added to your Airtable products base, it reads the raw attributes — name, category, materials, key features, price tier — and a tone reference, then generates a clean, persuasive product description for each locale you sell in (e.g. en-US, fr-FR, de-DE, ja-JP). Crucially, it does not machine-translate one master copy; it writes each locale natively from the source facts so idioms, length, and selling points fit the market. Every translation is written back to its dedicated language field on the same row, leaving a single tidy record your catalog or storefront can export from.
When to use it
Use it when your merchandising team adds products in Airtable and copywriting in five languages is the bottleneck before a SKU can go live. It fits DTC brands and marketplaces expanding into new regions who need consistent voice across locales without hiring a translator per launch.
How it works
- 1An Airtable trigger fires when a new product row is created.
- 2The flow reads the SKU's structured attributes plus your brand-voice guidelines from a config record.
- 3For each configured locale, OpenAI generates a native description matched to that market's tone and length norms.
- 4Each locale's copy is written back to its own field on the originating Airtable row.
Add or remove locales by editing the config record — no flow changes needed.
Set it up
What you configure once, before turning it on.
- 1Connect AirtableBases, tables, views, automations.
- 2Connect OpenAIModels, embeddings, files.
- 3Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 4Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 5Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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