CHATBOTS

Relay Front agent replies back to the original Discord asker

Triggers when a human agent replies in a Front conversation that originated from a Discord escalation.

CategoryChatbots
Enginesim
Difficultyintermediate
Triggerevent
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerAgent replies on Discord-origin Front conversationFront
  • ActionExtract reply + Discord referencesFront
  • LogicVerify Discord origin and valid target
  • ActionFormat reply for Discord (OpenAI)OpenAI
  • OutputPost agent reply to Discord threadDiscordDiscord
  • ActionNote delivery on Front conversationFront

What it does

Completes the escalation round-trip. When the bot can't answer and a question lands in Front, this flow makes sure the human agent's reply actually gets back to the member in Discord — automatically, in the original thread — so users never have to leave the platform they asked in.

When to use it

Pair it with any of the Discord-to-Front escalation bots. Use it whenever your agents work tickets in Front but your customers live in Discord, and you want their answers delivered where they're waiting instead of in an email they'll never read.

How it works

  1. 1A new outbound agent reply on a Discord-originated Front conversation triggers the flow.
  2. 2It reads the conversation to extract the agent's message and the stored Discord channel and message references.
  3. 3A logic step confirms the conversation came from Discord and has a valid target thread.
  4. 4OpenAI lightly formats the agent reply for Discord (trimming internal notes, fixing markdown).
  5. 5The formatted reply is posted to the original Discord user or thread, tagging them.
  6. 6A note is added back on the Front conversation recording that the answer was delivered to Discord.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect FrontShared inbox, conversations.
  2. 2
    Connect DiscordCommunity channels + voice + bots.
  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.

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