CHATBOTS

Auto-Assign Discord Roles from Self-Described Use-Case

Reads a new member's reply describing how they plan to use your product, classifies it into a use-case bucket, and assigns the matching Discord role automatically.

CategoryChatbots
Enginesim
Difficultyintermediate
Triggerevent
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerMember posts use-case reply in intake channelDiscordDiscord
  • LogicClassify reply into use-case segment
  • LogicRoute on category, default on low confidence
  • ActionAssign matching Discord roleDiscordDiscord
  • ActionLog assignment + answer in PostgresPostgreSQLPostgres
  • OutputConfirm unlocked channels to memberDiscordDiscord

What it does

After a new member answers the "what brings you here?" prompt, this workflow classifies their free-text reply into one of your predefined use-case segments (e.g. developer, founder, hobbyist, agency) and grants the corresponding Discord role. Correctly roled members instantly see the right channels and get relevant pings.

When to use it

Use this when your server has segmented channels or interest groups and you want members self-sorted without a moderator manually clicking roles for every arrival. It scales onboarding personalization with zero human touch.

How it works

  1. 1A member posting in the intake channel triggers the flow with their message text.
  2. 2A classification step maps the free-text reply to one of your configured use-case categories.
  3. 3A logic step routes on the predicted category, falling through to a default when confidence is low.
  4. 4The flow calls Discord to assign the matching role to the member.
  5. 5It records the assignment and original answer in Postgres for later audience analytics.
  6. 6A confirmation message tells the member which channels just unlocked for them.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect DiscordCommunity channels + voice + bots.
  2. 2
    Connect PostgresAny Postgres URL — query, write, migrate.
  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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