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Give support an answer that's true

Turns the incident record into a plain-language answer support can send, grounded in the Sentry and Datadog evidence.

I want to do this: What should support tell customers about yesterday's checkout errors? Keep it accurate.

## Setup (skip if Polylane is already set up)

Read and follow https://polylane.com/auth.md for non-interactive signup and setup. Start by checking whether I am already signed in; reuse my account and workspace.

If the CLI is missing, bootstrap it without starting the interactive wizard:

curl -fsSL 'https://polylane.com/setup?ref=prompts' | bash -s -- --install-only

Then follow the guide through email verification, workspace selection, source connections, and MCP authentication. Ask me for an email code or OAuth consent only when needed. Verify each step; report pending setup instead of claiming success from installation alone.

## How to work

Over MCP: searchTools lists what this workspace exposes, with each tool's schema; call it first. runTool runs one tool, runCode chains several in one call and returns just the answer. search and execute cover the full Polylane REST API: threads, issues, investigations, autofixes, memories.
From the terminal: the polylane CLI wraps the same API, with structured output and non-interactive flags everywhere.
Reads always work. Write tools appear only if I have opted in, and every write is screened.

## Task: Give support an answer that's true

Steps:
1. Read the incident record: what failed, for whom, for how long
2. Pull the actual impact numbers: affected requests, duration, resolution time
3. Check what's confirmed versus still under investigation
4. Write the customer-facing answer: plain language, accurate, no overpromising
5. Deliver it with the internal evidence linked for support's own confidence

Ground every claim in data you actually pulled: the query, the log line, the change record. If the data is inconclusive, say so. Ask me before anything that writes.

Support is guessing because engineering is busy.

Customers want to know what happened; the people who know are heads-down in the fix. So support improvises, and the improvisation becomes the public record.

  • Canned apologies that say nothing true
  • Engineering interrupted for the same question, ten times
  • The public explanation contradicting the postmortem later

One prompt, this much work. Every step on your real data.

  1. 1 Read the incident record: what failed, for whom, for how long
  2. 2 Pull the actual impact numbers: affected requests, duration, resolution time Datadog Cloudflare
  3. 3 Check what's confirmed versus still under investigation
  4. 4 Write the customer-facing answer: plain language, accurate, no overpromising Slack
  5. 5 Deliver it with the internal evidence linked for support's own confidence Slack

Accurate answers without the interruption

Support gets the true story in customer language, engineering stays in the fix, and the public record matches the postmortem when it lands.

More prompts for Ticket resolution

Stop doing this by hand. Paste it, and your agent does the rest.