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.
How it runs
The automated pipeline, trigger to output.
- TriggerNew question in Discord developer channelDiscord
- ActionRetrieve relevant ReadMe doc pagesReadMe
- ActionDraft answer and score confidenceOpenAI
- ActionLog question, answer, score to AirtableAirtable
- LogicBranch on confidence score
- OutputPost answer in Discord (high confidence)Discord
- OutputOpen Intercom ticket (low confidence)Intercom
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
- 1A new question in the Discord developer channel fires the trigger.
- 2The workflow retrieves relevant pages from your ReadMe docs.
- 3An LLM drafts an answer from those pages and returns a confidence score.
- 4The question, answer, sources, and score are logged as a row in Airtable.
- 5A branch checks the confidence score.
- 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.
- 1Connect DiscordCommunity channels + voice + bots.
- 2Connect ReadMeAPI docs, changelog, auth.
- 3Connect OpenAIModels, embeddings, files.
- 4Connect AirtableBases, tables, views, automations.
- 5Connect IntercomConversations, contacts, articles.
- 6Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 7Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 8Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
More Chatbots workflows
Discord WAF False-Positive Triage from Ray ID
When a user posts a Cloudflare ray ID in a Discord support channel, the bot looks up the blocked request's WAF event, classifies whether it looks like a genuine false positive.
Agentic WAF Investigator with Discord Approval Gate
An autonomous agent investigates a Discord-reported WAF block end to end: pulls Cloudflare logs, correlates with PagerDuty incidents, decides if an allowlist is safe.
Discord Onboarding Completion to CRM Sync
The moment a member finishes Discord onboarding, captures their submitted profile answers, creates or updates a contact in HubSpot.
Draft WAF Allowlist Proposal to Linear from Discord Report
Lets a support engineer confirm a Discord WAF report is a false positive, then auto-drafts a scoped Cloudflare allowlist rule proposal and files it as a Linear ticket…
Discord FAQ Free-Text Answer Grader
When a member submits a free-text answer in their onboarding thread, an agent grades it against the canonical FAQ knowledge base, replies with targeted feedback.
Discord FAQ-Gated Role Concierge
Greets each new Discord member in a private onboarding thread, walks them through required FAQ steps one at a time.
Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.
