CHATBOTS

Discord FAQ Concierge from Coda Knowledge Doc

Watches a Discord support channel, finds the best matching answer in your Coda knowledge doc, and replies inline in the thread. Unanswered questions get flagged for a human.

CategoryChatbots
Enginesim
Difficultybeginner
Triggerevent
Steps5
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew message in Discord support channelDiscordDiscord
  • ActionQuery matching FAQ rows from Coda docCodaCoda
  • LogicBranch on retrieval confidence score
  • ActionDraft grounded answer with OpenAIOpenAI
  • OutputReply in Discord thread with source citationDiscordDiscord

What it does

Turns a busy Discord support channel into a self-serve help desk. When a member posts a question, the workflow retrieves the most relevant entries from your Coda knowledge doc, drafts a grounded answer with OpenAI, and posts it back as a thread reply that cites the doc section it came from.

When to use it

Use it when your community asks the same onboarding, billing, and how-to questions over and over, and your Coda doc is already the source of truth. It frees moderators from repetitive replies while keeping answers consistent with your documentation.

How it works

  1. 1A new message in the designated Discord support channel triggers the run.
  2. 2The message text is used to query rows from the Coda FAQ table, pulling the closest matching question/answer pairs.
  3. 3A confidence check decides whether retrieved context is strong enough to answer; weak matches branch to escalation.
  4. 4OpenAI composes a concise, doc-grounded reply using only the retrieved Coda content.
  5. 5The bot posts the answer as a threaded reply in Discord, citing the source section so members can read more.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect DiscordCommunity channels + voice + bots.
  2. 2
    Connect CodaDocs, packs, automations.
  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.

Run this workflow in your colony.

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