AI AGENTS

Discord FAQ Agent with Live Web Fallback

Answers Discord questions from pinned docs first, and when the docs come up empty it runs a Brave web search to draft a best-effort answer marked 'unverified' rather than leaving…

CategoryAI Agents
Enginepaperclip
Difficultyintermediate
Triggerevent
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew question in Discord help channelDiscordDiscord
  • ActionSearch Confluence docs for a matchConfluenceConfluence
  • LogicConfident doc match found?
  • ActionWeb search fallback via BraveBraveBrave Search
  • ActionPost answer to Discord (labeled if unverified)DiscordDiscord
  • OutputSend unverified answers to mod review threadDiscordDiscord

What it does

This is a two-tier answering agent for Discord. It tries your Confluence docs first; if nothing matches, instead of giving up it searches the public web with Brave and drafts a clearly-flagged "unverified" answer so the member gets something useful immediately, while still nudging a mod to confirm.

When to use it

Use this for fast-moving products where your docs always lag reality, or for open-source communities where half the answers live in upstream changelogs and blog posts, not your own wiki.

How it works

  1. 1A member posts a question in the Discord help channel, firing the trigger.
  2. 2The agent searches your Confluence space for a matching answer.
  3. 3A branch checks whether Confluence returned a confident match.
  4. 4If matched, it replies with the doc answer and a citation link.
  5. 5If not matched, it runs a Brave web search and drafts a best-effort answer labeled "unverified — pending mod review."
  6. 6Either way the unverified path posts to a mod review thread so a human can confirm or correct it.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect DiscordCommunity channels + voice + bots.
  2. 2
    Connect ConfluenceSpaces, pages, blueprints.
  3. 3
    Connect Brave SearchWeb, news, image, video search.
  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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