# Warm-Cache Pack · Docs · Sales as Code [← All feature docs](https://salesascode.com/docs/library) Feature docs · /warm-cache # Warm-Cache Pack Before a call, pre-cache the likely questions and their best answers from your answer library, so you answer live instead of checking docs. Included with [secronjob](https://salesascode.com/docs/library/secronjob) . A seat without it sees an upsell here instead of the page. [Open Warm-Cache Pack →](https://salesascode.com/warm-cache) [All docs](https://salesascode.com/docs/library) ## Overview [Warm-Cache Pack](https://salesascode.com/warm-cache) closes the "let me check internal docs" pause. Before a call, list the topics it will cover and get a compact pack of the likely questions with the best cached answer for each, pulled from your [answer library](https://salesascode.com/answer-library). It is meant to be calendar-triggered, so the pack is ready in front of you when the meeting starts. **What it is for, on the page.** Under the headline, this page says what it produces, what makes it run, and where the output lands. Every Work page reads that line from one registry, so the three answers cannot drift from the page. ## Live-ready vs prep gap Each topic gets one of two states. Live-ready means the corpus has a fresh, confident answer you can say out loud without checking, and the answer is shown. A prep gap means there is no confident cached answer, either nothing matched, or the best match is stale or low-confidence, so the topic is flagged with an empty answer to rehearse before the call rather than a fabricated one. A wrong answer said live is worse than an honest "let me confirm that and follow up." ## Readiness at a glance The pack reports your readiness, the share of topics you can answer live, and lists the live-ready answers first so they are easy to scan during the call, with the prep gaps grouped after. It is the difference between walking into a technical call prepared and improvising. ## Deterministic The pack is deterministic: the same topics against the same corpus always produce the same pack, so you can refine the topic list and rebuild. It reuses the answer library's freshness and confidence scoring, so a warmer, better-maintained corpus produces a stronger pack. --- More for agents: [llms.txt](https://salesascode.com/llms.txt), [full reference](https://salesascode.com/llms-full.txt), [OpenAPI](https://salesascode.com/openapi.json), [sitemap](https://salesascode.com/sitemap.xml).