CUSTOMER SUPPORT

Macro Content Freshness Auto-Rewrite Proposer

Compares the text of each Zendesk macro against the current version of the Confluence articles it cites, detects where the macro's wording contradicts the latest docs.

CategoryCustomer Support
Enginesim
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerScheduled freshness sweep
  • ActionPull macros and current source docsZendeskZendesk
  • ActionFetch live Confluence page textConfluenceConfluence
  • LogicScore and keep high-drift macrosOpenAI
  • ActionDraft revised macro bodyOpenAI
  • OutputQueue rewrites in Airtable for reviewAirtableAirtable

What it does

Beyond broken links, macros go stale in their wording — quoting old pricing, removed steps, or renamed features that still match a live page. This compares each macro's actual prose to the current Confluence source and proposes a rewritten macro where they have diverged.

When to use it

Use it after a product change, pricing update, or feature rename, when the docs were updated but the macros that paraphrase them were not. It catches semantic drift that a pure link check misses.

How it works

  1. 1A scheduled run begins the freshness sweep.
  2. 2Pull each macro and the current text of the Confluence pages it references.
  3. 3Use OpenAI to compare the macro wording against the live doc and score how far it has drifted.
  4. 4Branch: keep only macros above the drift threshold.
  5. 5Use OpenAI to draft a revised macro body aligned with the current doc.
  6. 6Append the proposed rewrites to an Airtable review queue for an editor to approve or reject.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ZendeskTickets, queues, knowledge base.
  2. 2
    Connect ConfluenceSpaces, pages, blueprints.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect AirtableBases, tables, views, automations.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    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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