TICKET MANAGEMENT
Daily digest of reopened Front tickets that went negative
Once a day, queries logged reopen-and-sentiment-flip events from Postgres, summarizes the worst offenders with OpenAI, and posts a ranked digest to Slack for the support standup.
How it runs
The automated pipeline, trigger to output.
- TriggerDaily schedule before standup
- ActionQuery yesterday's negative reopensPostgres
- LogicAny qualifying events?
- ActionSummarize and rank with OpenAIOpenAI
- OutputPost ranked digest to SlackSlack
What it does
Gives the team a single morning read on effort backlash. Rather than pinging the channel on every reopen, it batches the previous day's negative-sentiment reopens, ranks them by severity, and delivers one tidy summary the support lead can scan in thirty seconds before standup.
When to use it
Reach for this when per-event alerts are too noisy but you still need accountability on repeat failures. Best paired with the effort-score logger so the digest has data to read from.
How it works
- 1A daily schedule fires before standup.
- 2The flow queries Postgres for the last 24 hours of reopen events where sentiment flipped negative.
- 3A logic step skips the run entirely if there were zero qualifying events.
- 4OpenAI condenses the rows into a ranked summary with themes and the three highest-risk threads.
- 5The digest, with deep links, is posted to the support Slack channel.
Set it up
What you configure once, before turning it on.
- 1Connect PostgresAny Postgres URL — query, write, migrate.
- 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 it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.
Run this workflow in your colony.
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