CHATBOTS

Discord Concierge with Web Search Fallback

Answers Discord questions from your Coda doc first, and when the doc has no match, falls back to a Brave web search before replying so members are never left without an answer.

CategoryChatbots
Enginesim
Difficultyintermediate
Triggerevent
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew question posted in DiscordDiscordDiscord
  • ActionSearch Coda FAQ table for a matchCodaCoda
  • LogicBranch: confident doc match vs. miss
  • ActionFallback Brave web search on missBraveBrave Search
  • ActionSynthesize answer with OpenAIOpenAI
  • OutputReply with source-labeled answerDiscordDiscord

What it does

A two-tier answer engine for your Discord community. It always tries your Coda knowledge doc first for an authoritative, on-brand answer. If nothing relevant is found, it runs a Brave web search, synthesizes a cautious answer with OpenAI, and clearly labels the reply as sourced from the web rather than your docs.

When to use it

Use it when your Coda doc covers most but not all questions and you want graceful coverage for the long tail without sending members away. The web-sourced label keeps trust intact by separating official answers from best-effort ones.

How it works

  1. 1A new question in the Discord channel triggers the run.
  2. 2The workflow searches the Coda FAQ table for a matching entry.
  3. 3A branch checks whether a confident Coda match exists.
  4. 4If yes, OpenAI answers from the doc; if no, Brave Search retrieves relevant web results that OpenAI then summarizes.
  5. 5The bot replies in Discord, tagging the answer as either Verified from docs or Web result so the member knows the source.

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
    Connect Brave SearchWeb, news, image, video search.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    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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