CHATBOTS

Discord FAQ bot that answers from pinned rules and escalates misses to a mod thread

Replies to member questions in a help channel using only the answer grounded in your pinned channel rules.

CategoryChatbots
Enginesim
Difficultyintermediate
Triggerevent
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew message posted in help channelDiscordDiscord
  • ActionFetch pinned rules and FAQ messagesDiscordDiscord
  • ActionDraft grounded answer with confidence scoreOpenAI
  • LogicIs the answer grounded and above threshold?
  • OutputReply in channel with cited answerDiscordDiscord
  • OutputOpen moderator thread tagging the mod roleDiscordDiscord

What it does

Turns your Discord help channel into a self-serve FAQ desk. When a member posts a question, the bot drafts an answer strictly from your pinned rules and FAQ text. If the rules don't cover the question, it refuses to improvise and instead spins up a private moderator thread with the original message linked, so a human picks it up fast.

When to use it

For community or support servers where the same onboarding and rules questions repeat all day, but you don't want a chatbot inventing policy. Ideal when you have a canonical pinned rules post and a moderator team that should own anything off-script.

How it works

  1. 1A new message in the designated help channel triggers the flow.
  2. 2The bot pulls the current pinned messages from that channel to use as the grounding source.
  3. 3An LLM call answers the question using only the pinned text and returns a confidence score plus a grounded flag.
  4. 4A branch checks whether the answer is grounded and above the confidence threshold.
  5. 5If yes, the bot replies in-channel with the cited answer.
  6. 6If no, it creates a moderator thread that links the member's message and tags the mod role for human follow-up.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect DiscordCommunity channels + voice + bots.
  2. 2
    Connect OpenAIModels, embeddings, files.
  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.

Run this workflow in your colony.

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