CONTENT CREATION
Agent-driven bulk refresh of an aging product catalog
On request, an agent audits the Airtable catalog for low-quality or outdated photos, upscales and re-cleans the worst offenders through Replicate.
How it runs
The automated pipeline, trigger to output.
- TriggerTeam member starts catalog refresh with scope
- ActionRead and score catalog photos in AirtableAirtable
- LogicSelect lowest-scoring images in scope
- ActionUpscale and clean selected images via ReplicateReplicate
- ActionStore assets in R2 and update Airtable rowsCloudflare R2
- OutputPost before/after summary to SlackSlack
What it does
Drives a one-off catalog cleanup as an agent task rather than a fixed pipeline. The agent reviews the catalog, decides which photos most need rework using quality signals, re-processes them through Replicate, and writes back a human-readable summary of what it changed and why.
When to use it
Use it for periodic catalog hygiene, such as before a big sale or after inheriting a messy product set, when you want judgment about which images to touch rather than blindly reprocessing everything.
How it works
- 1A team member kicks off the run with a target scope (a collection or the whole catalog).
- 2The agent reads catalog rows from Airtable and scores each photo for resolution and background cleanliness.
- 3It selects the lowest-scoring images within the requested scope.
- 4Each selected image is upscaled and background-cleaned via Replicate and stored in R2.
- 5The agent updates each Airtable row with the new asset and a note on what it improved.
- 6A summary of items touched, skipped, and improved is posted to Slack.
Set it up
What you configure once, before turning it on.
- 1Connect AirtableBases, tables, views, automations.
- 2Connect ReplicateImage, video, and model inference.
- 3Connect Cloudflare R2Object storage, S3-compatible.
- 4Connect SlackChannels, DMs, threads, mentions.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, 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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