> ## Documentation Index > Fetch the complete documentation index at: https://docs.os.meetluno.ai/llms.txt > Use this file to discover all available pages before exploring further. # Use cases > Common ways teams use Luno OS. Teams use Luno OS to build internal agents and AI systems across every function. You can click any use case listed below to copy a ready-to-use prompt — paste it into [Luno Builder](https://docs.os.meetluno.ai/build-with-ai/platform-agent.md) chat in the web app, or hand it to your coding agent. ## For everyone AI secretary Manages your inbox and calendar, prepares you for meetings, and keeps every follow-up from slipping. Meeting recaps When a call ends, turns the transcript into action items, opens follow-up tasks, and sends everyone a crisp recap. Company knowledge agent Gives a persistent company agent the context and skills to work across your team's systems. Executive coworker A persistent AI coworker for leadership that can investigate, report, and remember useful context. Research report Researches a market and delivers a sourced, structured report instead of a chat response. Commitment tracker Keeps a running list of promises you made in email and Slack so nothing quietly slips. ## Sales Prospect briefings When a new meeting is booked, researches the attendee and company, then posts a concise prep note. GTM prospecting partner Researches target accounts, maintains CRM context, and drafts personalized outreach without sending. Prospect reply drafts When a prospect replies, turns the thread and CRM context into a thoughtful response for review. Buying signal operator Combines product, billing, and CRM signals to decide which accounts deserve attention now. Call-to-quote Turns agreed pricing from a customer call into a reviewable quote and follow-up package. Living deal intelligence Keeps qualification, risks, and next steps current from every customer conversation. ## Marketing AI marketing team Coordinates specialist agents for positioning, content, SEO, social, and email with shared context. SEO content engine Every week, turns community signals and web research into topic clusters, article briefs, and Notion drafts. Competitor monitoring Tracks meaningful competitor changes and explains what they mean for your positioning. Content partner Turns product work and market signals into reviewable social and editorial drafts on a schedule. Product docs maintainer Tests frontend changes and keeps the corresponding support documentation current. Living messaging doc Updates positioning docs with the words customers actually use on calls. ## Data Semantic layer agent Documents your data, maintains shared meaning, answers questions, and creates dashboards on demand. Multi-agent data team Pairs a conversational analyst with a model engineer that can improve the data layer through reviewed code. Launch recap When you ship a release, pulls adoption and retention for the launch cohort and posts a short recap. Customer health monitor Every week, flags at-risk accounts from product usage, support volume, and CRM signals. Metric anomaly investigator Detects important metric shifts, investigates likely causes, and preserves the analysis for the team. Voice of customer Every week, turns support conversations into themes with evidence and shares them with the team. ## Finance AI deal desk Turns pricing agreed on calls into accurate, approval-gated quotes and customer drafts. Living P\&L Learns from prior bookkeeping and asks for help only when a transaction is unclear. Payout reconciliation Every Friday, matches payouts against your ledger, flags variances over threshold, and posts the report to finance. Invoice matching Matches messy vendor invoices against records and routes only meaningful exceptions for approval. Invoice collections A few times a week, finds overdue invoices and drafts collection emails for review. Subscription audit Every month, reviews recurring Ramp charges and related receipts to flag spend worth a second look. ## Operations Support engineer Investigates customer bugs across support history, documentation, and code before preparing the response. Employee onboarding When a new hire starts, sends a first-week checklist, schedules intros, and answers questions from company docs. Contract review When a contract is received, flags unusual terms, tracks deadlines, and prepares a summary for attorney review. Meeting action hand-off Routes every meeting action to the right teammate before it gets forgotten. Knowledge base maintainer Turns recurring support questions into draft help articles for human review. Leadership decision log Keeps a running record of what leadership decided, why, and who owns the follow-through. ## Engineering Incident fixer Investigates the most severe and frequent production issue and carries its fix through a reviewable PR. Error fixer Finds the error hurting the most customers, traces it through the code, and prepares the fix. Slow query fixer Finds the database query with the greatest performance cost and opens a code-level fix. PR risk and reviewers When a PR opens, scores blast radius, requests reviewers, and comments with a risk summary. Customer bug fixer Lets support summon an engineer that investigates, fixes, and closes the loop with the customer. Deploy verification After a production deploy, checks errors and metrics and posts a go / no-go to the release channel. This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.