AI & RAG
Weekly ADR Supersession and Staleness Audit
Scans all Architecture Decision Records on a schedule, finds ones that reference superseded decisions or contradict newer ADRs, and posts a triage digest to Slack with cited fixes.
How it runs
The automated pipeline, trigger to output.
- TriggerWeekly schedule fires
- ActionPull all ADRs with status and links from ConfluenceConfluence
- LogicBuild supersession graph, find dangling refs and contradictions
- ActionSummarize issues with ADR numbers and fixesOpenAI
- OutputPost prioritized triage digest to SlackSlack
What it does
Keeps your ADR library internally consistent. On a weekly schedule it reads every Architecture Decision Record, builds a map of which decisions supersede which, and flags problems: accepted ADRs that still cite a now-superseded one, decisions that contradict a newer ADR, and records that have gone stale. It outputs a ranked triage list so a maintainer can clean up in minutes.
When to use it
When your ADR collection has grown past the point any one person tracks it, and supersession links rot. Run it for architecture leads who own decision hygiene but can't reread the whole corpus.
How it works
- 1A weekly schedule fires the audit.
- 2All ADRs are pulled from Confluence with their status and supersedes/superseded-by fields.
- 3A logic step builds the supersession graph and finds dangling references and contradictions.
- 4OpenAI summarizes each issue with the ADR numbers involved and a suggested resolution.
- 5A prioritized digest is posted to the architecture channel in Slack for triage.
Set it up
What you configure once, before turning it on.
- 1Connect ConfluenceSpaces, pages, blueprints.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect SlackChannels, DMs, threads, mentions.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
More AI & RAG workflows
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.
Weekly knowledge-gap digest from unanswered rep questions
Each week, scans rep questions the answer bot couldn't ground in Coda, clusters the recurring gaps.
Pre-meeting prep brief grounded in Coda and CRM
Before each booked sales meeting, builds a one-page prep brief by combining the account's HubSpot context with grounded talking points and objection responses pulled from your…
Publish a Grounded API FAQ Page to Confluence Weekly
Each week, clusters the top unanswered or repeated API questions, generates spec-grounded answers with citations.
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.
Re-Index API Specs on GitLab Merge to Keep the Answer Bot Fresh
Watches GitLab merges to your API repo, detects changed OpenAPI specs and changelog files, re-chunks and re-embeds only what changed.
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.
