DATA OPS

CEO-driven stale-table incident triage and runbook author

When a critical table breaches freshness, an agent investigates lineage and recent pipeline activity, drafts a root-cause hypothesis, files a Linear incident.

CategoryData Ops
Enginepaperclip
Difficultyadvanced
Triggerevent
Steps5
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerCritical table freshness breach event
  • ActionGather load history, lineage, volume signalsSnowflakeSnowflake
  • LogicForm ranked root-cause hypothesis + remediation
  • ActionFile incident with triage briefLinearLinear
  • OutputNotify on-call owner with next stepsSlack

What it does

Turns a raw freshness breach into a triaged incident. When a critical Snowflake table goes stale, the agent gathers context (lineage, last successful load, recent schema or volume anomalies), writes a plain-language root-cause hypothesis and suggested remediation, opens a Linear issue with that brief, and pings the on-call owner.

When to use it

Use it for high-stakes tables where you want investigation and an actionable ticket within minutes, not just a ping. Best when breaches are infrequent but expensive and you want the org to act, not just observe.

How it works

  1. 1A freshness breach event triggers the run with the affected table.
  2. 2The agent queries Snowflake for the table's load history, lineage, and recent row-volume pattern.
  3. 3It reasons over the signals to form a ranked root-cause hypothesis and remediation steps.
  4. 4It files a Linear incident containing the brief and blast radius.
  5. 5It posts a Slack notification to the on-call owner linking the incident and summarizing what to check first.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect SnowflakeWarehouses, queries, shares.
  2. 2
    Connect LinearIssues, projects, cycles, triage.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

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