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Sentry error-spike to proactive customer notice with hotline voice
When Sentry flags a new high-volume error issue, drafts a proactive customer notice with OpenAI, opens a Linear tracking issue, and pushes a hotline voice update via ElevenLabs.
How it runs
The automated pipeline, trigger to output.
- TriggerSentry new high-volume issueSentry
- LogicFilter: production + user-count threshold
- ActionDraft proactive notice + hotline script (OpenAI)OpenAI
- ActionCreate Linear tracking issueLinear
- ActionRender hotline audio (ElevenLabs)ElevenLabs
- OutputPublish notice to status webhookHTTP webhook
What it does
Uses a Sentry error spike as the early-warning signal to get ahead of customers: it drafts a proactive notice, files an internal tracking issue, and updates the hotline before support tickets start arriving.
When to use it
Use it when a new or regressed error issue suddenly affects many users and you want customer comms and engineering tracking to spin up from the same trigger.
How it works
- 1A Sentry webhook fires on a new issue crossing an event-frequency threshold.
- 2A logic step checks that the issue affects production and exceeds a user-count floor, ignoring one-off errors.
- 3OpenAI drafts a customer-safe notice (no stack traces) plus a short hotline script acknowledging the issue.
- 4A Linear issue is created to track the customer-comms incident with the draft attached.
- 5ElevenLabs renders the hotline audio and the notice is posted to the status-page webhook as the final output.
Set it up
What you configure once, before turning it on.
- 1Connect SentryErrors, performance, releases.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect LinearIssues, projects, cycles, triage.
- 4Connect ElevenLabsText-to-speech, voice cloning.
- 5Connect HTTP webhookTrigger any URL on agent actions.
- 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.
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