CHATBOTS

Grounded Discord Roadmap Agent with Web Fallback

An agent that answers any Discord roadmap question by reasoning over live Trello cards first, then falling back to a web search for public release info.

CategoryChatbots
Enginepaperclip
Difficultyadvanced
Triggerevent
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerBot mentioned in DiscordDiscordDiscord
  • ActionLoad relevant Trello cards as contextTrelloTrello
  • LogicDecide if board context is sufficient
  • ActionWeb search fallback for public release infoBraveBrave Search
  • ActionSynthesize cited answer with OpenAIOpenAI
  • OutputPost grounded, source-labeled replyDiscordDiscord

What it does

Handles open-ended roadmap questions an agent must reason about, not just exact-match lookups. It pulls the relevant Trello cards as grounding context, answers from them when possible, and only when the board is silent does it run a web search for public release notes, always labeling the source so members know what's official.

When to use it

Use it when questions are fuzzy ('what's the status of anything around billing?') or span multiple cards, and when you want a single trustworthy answer that distinguishes confirmed roadmap status from unofficial web chatter.

How it works

  1. 1A mention of the bot in Discord triggers the agent.
  2. 2The agent queries the Trello board and loads the relevant cards as grounding context.
  3. 3A decision step checks whether the cards sufficiently answer the question.
  4. 4If not, the agent runs a Brave web search for public release information.
  5. 5OpenAI synthesizes a single grounded answer, citing board vs. web sources.
  6. 6The agent posts the cited reply in the Discord thread.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect DiscordCommunity channels + voice + bots.
  2. 2
    Connect TrelloKanban boards for everything.
  3. 3
    Connect Brave SearchWeb, news, image, video search.
  4. 4
    Connect OpenAIModels, embeddings, files.
  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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