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.
How it runs
The automated pipeline, trigger to output.
- TriggerSchedule triggers quarantine sweep
- ActionRead quarantined links + context from AirtableAirtable
- ActionAgent infers intended values, drafts corrected URLOpenAI
- LogicBranch on fix confidence
- ActionPost approve/reject proposals to SlackSlack
- OutputWrite approved fixes back, clear quarantine in AirtableAirtable
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
- 1A schedule triggers a sweep of quarantined links.
- 2The agent reads each quarantined record and its campaign metadata from Airtable.
- 3It reasons over the taxonomy and prior approved links to infer the intended values and build a corrected URL.
- 4A confidence branch separates high-confidence fixes from ambiguous ones.
- 5High-confidence proposals are posted to Slack with approve/reject buttons; ambiguous ones are escalated to a human queue.
- 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.
- 1Connect AirtableBases, tables, views, automations.
- 2Connect SlackChannels, DMs, threads, mentions.
- 3Connect OpenAIModels, embeddings, files.
- 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.
More Marketing workflows
Agentic UTM Taxonomy Steward: Detect, Explain, and Propose Fixes
An agent reviews the full backlog of campaign links in Airtable, reasons about taxonomy drift beyond rigid rules, drafts standardized replacements for malformed UTMs.
Slack UTM Check: Paste a Link, Get an Instant Verdict
Lets marketers drop a tracking URL into a Slack channel and get an immediate threaded reply that says whether the UTMs are valid, what is wrong, and a corrected suggestion.
Backlink Outreach Drafter for Verified Mentions
Picks verified, high-authority unlinked mentions from Airtable, drafts a personalized backlink-request email for each.
Source-Authority Verifier for Mention Provenance
Takes a queue of detected brand mentions and runs an agent that verifies whether each source is a legitimate, authoritative publisher versus a scraper or syndication copy.
Unlinked Brand-Mention Detector with Authority Scoring
Scans the web for fresh brand mentions, filters to ones that name you without linking back, scores the publishing domain's authority.
Weekly Brand-Mention Provenance Digest to Notion
Aggregates the week's tracked mentions from Airtable into a single summarized report covering new opportunities, authority distribution, and outreach progress.
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.

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