MARKETING

Malformed Link Investigator + Auto-Fix Proposer (Agent)

An agent that investigates each quarantined campaign link, infers the intended correct UTM values from naming patterns and campaign context.

CategoryMarketing
Enginepaperclip
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerSchedule triggers quarantine sweep
  • ActionRead quarantined links + context from AirtableAirtableAirtable
  • ActionAgent infers intended values, drafts corrected URLOpenAI
  • LogicBranch on fix confidence
  • ActionPost approve/reject proposals to SlackSlack
  • OutputWrite approved fixes back, clear quarantine in AirtableAirtableAirtable

What it does

Goes beyond pass/fail. For every link sitting in quarantine, an agent reads the campaign context, compares the broken UTM string against your taxonomy and historical naming patterns, and reasons about what the author most likely meant. It then drafts a corrected URL and a plain-English explanation of each change, posting both for a human to approve in one click instead of fixing links by hand.

When to use it

Use this when quarantine catches a lot of links and manually triaging each one is the bottleneck. It is most valuable for teams with high link volume where the failure is usually a fixable typo or casing slip rather than a fundamentally wrong campaign.

How it works

  1. 1A schedule triggers a sweep of quarantined links.
  2. 2The agent reads each quarantined record and its campaign metadata from Airtable.
  3. 3It reasons over the taxonomy and prior approved links to infer the intended values and build a corrected URL.
  4. 4A confidence branch separates high-confidence fixes from ambiguous ones.
  5. 5High-confidence proposals are posted to Slack with approve/reject buttons; ambiguous ones are escalated to a human queue.
  6. 6Approved corrections are written back to Airtable and the link is moved out of quarantine.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect AirtableBases, tables, views, automations.
  2. 2
    Connect SlackChannels, DMs, threads, mentions.
  3. 3
    Connect OpenAIModels, embeddings, files.
  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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