AI & RAG
ADR Drafter: turn a Slack decision thread into a Confluence ADR
Triggered on a Slack thread, retrieves related prior ADRs for context, drafts a properly formatted Architecture Decision Record with an LLM.
How it runs
The automated pipeline, trigger to output.
- TriggerMarker emoji reaction added to Slack threadSlack
- ActionCollect full thread transcript from SlackSlack
- ActionRetrieve related ADRs from Postgres indexPostgres
- ActionDraft structured ADR with OpenAIOpenAI
- OutputCreate draft ADR page in Confluence and link it backConfluence
What it does
Captures decisions made in Slack before they evaporate. When an engineer reacts to a decision thread with a marker emoji, the flow reads the conversation, pulls related existing ADRs for consistency, drafts a structured ADR (context, decision, consequences, alternatives), and files it as a Confluence draft.
When to use it
Use it when real decisions happen in chat but rarely become records, when the ADR template is intimidating enough that people skip it, or when you want a consistent format produced automatically for human approval.
How it works
- 1A reaction added to a Slack thread triggers the flow.
- 2The bot collects the full thread transcript via Slack.
- 3It retrieves semantically related ADRs from the Postgres index so the draft references prior decisions and avoids duplication.
- 4OpenAI writes a complete ADR in the team template, marked status "proposed," grounded in the thread and related records.
- 5The draft is created as a Confluence page and the link is posted back to the thread for review.
Set it up
What you configure once, before turning it on.
- 1Connect SlackChannels, DMs, threads, mentions.
- 2Connect PostgresAny Postgres URL — query, write, migrate.
- 3Connect OpenAIModels, embeddings, files.
- 4Connect ConfluenceSpaces, pages, blueprints.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
More AI & RAG workflows
RFP and security questionnaire drafter grounded in Coda
Drafts answers to inbound RFP and security questionnaire questions by retrieving approved language from your Coda hub, then files the cited draft for review before a rep sends it.
Detect Breaking API Changes from Spec Diffs and Alert Owners
Compares the new OpenAPI spec against the previous version on each GitLab merge, uses retrieval over the changelog to classify whether changes are breaking.
Grounded reply suggestions for inbound sales email
Reads inbound prospect emails, retrieves the matching answers from your Coda hub.
Coda-grounded sales answer bot with citations in Slack
Reps ask product, pricing, or competitive questions in Slack and get an answer drawn only from your Coda knowledge hub, with links to the exact docs and rows it pulled from.
On-Call Spec Answerer from Dropbox Engineering Corpus
Answers on-call questions posted in a Slack channel by retrieving the most relevant Dropbox engineering specs and replying with a grounded, source-cited answer in the thread.
Agentic Deep-Dive API Researcher for Hard Spec Questions
An agent fielded via webhook that answers multi-part API questions by iteratively searching OpenAPI specs, changelogs, and Confluence runbooks.
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.