AI data enrichment in Firestore: turn one field into ten

What is AI data enrichment?

AI data enrichment is the practice of using a language model to generate new field values from data you already have. Given a product row with a name and a price, it can write a description. Given a support ticket, it can classify priority and extract a summary. Given a contact, it can normalize a job title. The model reads what you have and produces what you are missing.

Until recently, this meant gluing together the OpenAI or Gemini APIs, a queue, a billing system and a UI. With FireSheets, it is a button in the document sheet.

How it works in FireSheets

Open any document and click Enrich with AI. A dialog opens with the full record as context and a prompt box. Describe what you want, for example: "Write a 140-character product tagline" or "Extract the city from the address field and return just the city name." Pick the target field, run the prompt, and the generated value is written back into Firestore the same way an inline edit would be.

Under the hood we send the record plus your prompt to Gemini through the Lovable AI Gateway, so there is no API key to manage. Each enrichment costs one credit. Pro accounts get 100 credits per month, Workspace gets 500, and you can top up at any time without changing plans.

Five things people actually use it for

Filling in product descriptions from a name, category and a couple of attributes. Classifying inbound leads or tickets into a small enum so a downstream rule can route them. Translating short fields like titles or labels into a second language. Extracting structured fields, a city or a zip code, from a free-text address. Generating slug, alt-text or meta-description fields from existing copy so the rest of your stack has something to render.

Keeping it safe

Enrichment runs through a server function with row-level security, so the model only ever sees data the requesting user is already allowed to read. Generated values are written through the same audit trail as a manual edit, which means you can always see what AI wrote versus what a teammate typed. If a value looks off, hit undo and try a different prompt; nothing is permanent until you accept it.

When to reach for it

Reach for AI enrichment when a field is mechanical to fill but tedious at scale: anything you could explain to an intern in two sentences but would never want to do for two thousand rows. Skip it for fields that need a human judgement call, legal copy, pricing or anything regulated. Treat it the way you would treat a very fast junior teammate: useful, cheap and worth reviewing.

Try it

AI enrichment is available on every paid plan today, with a small free allowance on the trial. Open any collection, click into a document and look for the Enrich with AI button in the header. The first run usually pays for itself.