Kind words from customers fly past in Slack and are gone by the next standup. This automation catches them and saves them where you can actually use them.
sonnet2 daysSlackOpenAINotion APIn8n
Claude
69ROI
65Scale
$1.7k90Saved
ROI for
README.md
Why this subagent
Kind words from customers fly past in Slack and are gone by the next standup. This automation catches them and saves them where you can actually use them.
How it runs
Used at step 01 to kick off the pipeline.
Write
Used at step 01 to kick off the pipeline.
WebFetch
Used at step 01 to kick off the pipeline.
WebSearch
Used at step 01 to kick off the pipeline.
Classify each message as positive feedback and pull out the customer name and product mentioned.
pending
Format a clean quote with attribution and the date it was said.
pending
Add it as a new row in your Notion praise table for marketing and morale.
pending
Sample output
json
// Sample output
// (generated when the pipeline finishes)
Decide if the message is genuine praise; if yes, return JSON with quote, author, product, and date, else skip it.
Unlock the rest
The full agent definition, install snippet, and starter task are gated for community members.
Members get the full `.md` agent file, the npm / pnpm install one-liners, a starter prompt that we've tuned against real runs, and the open-source repo when this automation ships there. One email, magic link, done.