DATA OPS

Agent-Driven CSV Schema Drift Triage and Partner Outreach

When a partner CSV fails validation, an agent diagnoses whether the failures are schema drift or dirty data, files a Linear issue with the analysis.

CategoryData Ops
Enginepaperclip
Difficultyadvanced
Triggerevent
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew partner CSV lands in S3AWS S3
  • LogicValidate rows and build defect report
  • ActionAgent classifies schema drift vs dirty dataOpenAI
  • ActionFile Linear issue for schema drift casesLinearLinear
  • ActionDraft and send partner correction emailGmailGmail
  • OutputPost triage summary to SlackSlack

What it does

This workflow validates an incoming partner CSV, and when rows fail, hands the defect report to an agent that reasons about the failures: is the partner sending a renamed column (schema drift) or just bad values in the right shape (dirty data)? The agent classifies the root cause, opens a Linear issue for engineering when it's drift, and drafts a clear correction email to the partner.

When to use it

Use it when triaging feed failures eats analyst time and the same diagnosis gets repeated by hand. The agent does the first-pass investigation and produces both an internal ticket and an outbound message, so a human only reviews and sends.

How it works

  1. 1A new partner CSV in the S3 prefix fires the trigger.
  2. 2Rows are validated against the contract schema and a defect report is built.
  3. 3If there are failures, the agent analyzes the defects to separate schema drift from dirty data.
  4. 4For schema drift, the agent files a Linear issue with the offending columns and a proposed fix.
  5. 5The agent drafts a partner-ready correction email and sends it via Gmail for review.
  6. 6A summary of the triage is posted to Slack.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect AWS S3Buckets, objects, signed URLs.
  2. 2
    Connect LinearIssues, projects, cycles, triage.
  3. 3
    Connect GmailRead, draft, send, label.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Connect OpenAIModels, embeddings, files.
  6. 6
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  7. 7
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  8. 8
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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