AI & RAG

Answer 'will this break my integration' from the customer's pinned version

Drafts an Intercom reply that tells a customer exactly which breaking changes land between their current pinned SDK version and latest, scoped to the endpoints they actually use.

CategoryAI & RAG
EngineSim + Paperclip
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerUpgrade-tagged Intercom conversation opensIntercomIntercom
  • ActionLook up customer's pinned version and endpoint usagePostgreSQLPostgres
  • ActionRetrieve changelog entries since their pinned versionPostgreSQLPostgres
  • LogicFilter to used endpoints; classify each change's impact
  • OutputPost drafted migration reply as internal noteIntercomIntercom

What it does

When a customer asks whether upgrading will break their integration, this looks up their currently pinned SDK version, retrieves the changelog corpus for everything released since, filters to the endpoints and SDK methods that customer's account actually calls, and drafts a precise Intercom reply listing what breaks and what to change.

When to use it

Use it on the support inbox when upgrade-anxiety tickets land. Instead of pointing customers at a wall of release notes, support sends a personalized, version-accurate migration brief.

How it works

  1. 1A new Intercom conversation arrives tagged as an upgrade or migration question.
  2. 2The flow looks up the customer's pinned SDK version and recent endpoint usage from Postgres.
  3. 3It retrieves all changelog entries published after their pinned version from the corpus.
  4. 4The agent filters to changes touching endpoints the account uses and classifies each as breaking, deprecating, or safe.
  5. 5It writes a draft reply with a per-endpoint verdict and posts it as an internal note in Intercom for an agent to send.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect IntercomConversations, contacts, articles.
  2. 2
    Connect PostgresAny Postgres URL — query, write, migrate.
  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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