CHATBOTS

Discord answerer from ReadMe docs with confidence logging to Airtable

Answers Discord questions from your ReadMe developer docs and logs every interaction with its confidence score to Airtable, opening an Intercom ticket only when confidence is low.

CategoryChatbots
Enginesim
Difficultyadvanced
Triggerevent
Steps7
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew question in Discord developer channelDiscordDiscord
  • ActionRetrieve relevant ReadMe doc pagesReadMeReadMe
  • ActionDraft answer and score confidenceOpenAI
  • ActionLog question, answer, score to AirtableAirtableAirtable
  • LogicBranch on confidence score
  • OutputPost answer in Discord (high confidence)DiscordDiscord
  • OutputOpen Intercom ticket (low confidence)IntercomIntercom

What it does

This answers questions in your Discord developer community using your ReadMe documentation, and treats every answer as a measurable event. Each question, the answer, the docs used, and the bot's confidence score are written to an Airtable base. When confidence is below threshold it also opens an Intercom ticket so a human steps in. Over time the Airtable log shows exactly which topics the bot struggles with.

When to use it

Use it when you want your support bot to double as a docs-quality instrument. The Airtable confidence log turns vague impressions of "the bot isn't great at X" into a sortable record of low-confidence topics, so your docs team knows precisely what to improve next.

How it works

  1. 1A new question in the Discord developer channel fires the trigger.
  2. 2The workflow retrieves relevant pages from your ReadMe docs.
  3. 3An LLM drafts an answer from those pages and returns a confidence score.
  4. 4The question, answer, sources, and score are logged as a row in Airtable.
  5. 5A branch checks the confidence score.
  6. 6High: the answer is posted in the Discord thread. Low: an Intercom ticket is opened for a human.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect DiscordCommunity channels + voice + bots.
  2. 2
    Connect ReadMeAPI docs, changelog, auth.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect AirtableBases, tables, views, automations.
  5. 5
    Connect IntercomConversations, contacts, articles.
  6. 6
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  7. 7
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  8. 8
    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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