AI & RAG

Proactively warn customers pinned to a version with a new deprecation

When a new deprecation lands in the changelog corpus, finds every customer still pinned to a version that uses the affected endpoint and sends each a targeted heads-up email…

CategoryAI & RAG
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew deprecation entry added to corpusPostgreSQLPostgres
  • LogicExtract deprecated endpoint and sunset date
  • ActionFind at-risk customers by pinned version and usagePostgreSQLPostgres
  • LogicDrop accounts already notified for this deprecation
  • OutputSend tailored deprecation warning emailsGmailGmail

What it does

Turns a freshly published deprecation into proactive outreach. It detects new deprecation entries in the corpus, identifies the affected endpoint, queries which customers are pinned to versions that still rely on it, and sends each a personalized warning before their integration breaks.

When to use it

Use it when you announce a deprecation with a sunset date and need to reach the specific accounts at risk, not blast your whole list. It shrinks support load on the eventual removal.

How it works

  1. 1A new deprecation entry is added to the changelog corpus, firing the trigger.
  2. 2The flow extracts the deprecated endpoint and its sunset date from the entry.
  3. 3It queries Postgres for customers whose pinned version predates the deprecation and whose usage hits that endpoint.
  4. 4A branch drops accounts already notified for this deprecation.
  5. 5It sends each remaining customer a tailored Gmail message naming the endpoint, their current version, the replacement, and the deadline.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect PostgresAny Postgres URL — query, write, migrate.
  2. 2
    Connect GmailRead, draft, send, label.
  3. 3
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  4. 4
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  5. 5
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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