CONTENT CREATION
Weekly brand-voice audit of published product descriptions
Each week, sample live product descriptions from Airtable, score each against your brand-voice rubric with AI, and post a drift report with the worst offenders to Slack.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly schedule
- ActionSample published descriptions from AirtableAirtable
- ActionScore each against brand-voice rubricOpenAI
- LogicAggregate scores, rank worst offenders
- OutputPost drift report to content-ops channelSlack
What it does
This workflow keeps your catalog copy on-brand over time, not just at launch. On a weekly schedule it samples a batch of currently published product descriptions from your Airtable catalog, scores each one against a defined brand-voice rubric — tone, reading level, banned phrases, required value props — using an AI judge that returns a numeric score and specific reasons. It aggregates the results into a drift report: the average score by category, the count below threshold, and a ranked list of the worst offenders with the exact lines to fix. That report is posted to a content-ops Slack channel so editors know precisely what to rewrite this week.
When to use it
Use it when copy is written by many hands (or many past automations) and quality silently drifts as the catalog grows. It fits content and merchandising leads who want a recurring, measurable signal on voice consistency instead of spot-checking by gut. Pair it with one of the generation workflows to close the loop.
How it works
- 1A schedule trigger fires the weekly run.
- 2The flow samples a batch of published descriptions from Airtable.
- 3An AI step scores each against your brand-voice rubric, returning a score plus flagged lines.
- 4A logic step aggregates scores and ranks the below-threshold offenders.
- 5The drift report is posted to your content-ops Slack channel.
Set it up
What you configure once, before turning it on.
- 1Connect AirtableBases, tables, views, automations.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect SlackChannels, DMs, threads, mentions.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run this workflow in your colony.
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