CHATBOTS

Promote a mod-approved Discord answer into the FAQ when reacted with a checkmark

When a moderator adds a checkmark reaction to a helpful answer in a thread, the bot captures that question-and-answer pair and writes it into the Postgres FAQ so the bot can…

CategoryChatbots
Enginesim
Difficultyintermediate
Triggerevent
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerApproval reaction added to a messageDiscordDiscord
  • LogicIs the reactor a mod and the emoji the checkmark?
  • ActionFetch originating question and approved answerDiscordDiscord
  • ActionRewrite into a clean FAQ entryOpenAI
  • ActionInsert entry into Postgres knowledge basePostgreSQLPostgres
  • OutputConfirm in thread that the answer was addedDiscordDiscord

What it does

Lets moderators curate the knowledge base with a single reaction. When a mod marks a thread reply with the approval checkmark, the bot grabs the originating question and the approved answer, cleans them into a tidy FAQ entry, and inserts it into Postgres. The next member who asks gets an instant grounded reply instead of another escalation.

When to use it

When good answers happen organically in moderator threads and you want to harvest them without a separate copy-paste workflow. It makes growing the FAQ a zero-friction byproduct of mods doing their normal support work.

How it works

  1. 1A reaction-added event with the approval emoji triggers the flow.
  2. 2A branch confirms the reactor holds the moderator role and the emoji is the configured checkmark.
  3. 3The bot fetches the thread's originating question and the reacted answer message.
  4. 4An LLM call rewrites the pair into a clean, reusable question-and-answer FAQ entry.
  5. 5The flow inserts the new entry into the Postgres knowledge base.
  6. 6The bot replies in the thread confirming the answer was added to the FAQ.

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
    Connect PostgresAny Postgres URL — query, write, migrate.
  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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