---
name: al-634-stop-waiting-days-for-a-custom-report-give-pricing-and-de
description: "A Databricks customer story on PROS (airline offer and pricing software) describes PROS Kairos, launched October 2026 on Databricks. Domain-specific Genie Agents for demand, pricing and flight analysis are grounded in curated datasets and internal documents that explain airline terms. A central orchestrator (a Databricks App) routes each question to the right Genie Agent, MCP server or skill. Analysts who once waited about two days for engineering reports now get answers in minutes with follow-ups in the same flow. Every agent reaches models through Unity Gateway for logging, sensitive-data blocking, usage caps and failover. Lakebase Postgres already stores AI agent session data. Figures and quotes are from PROS; adapt the pattern to your own curated domains rather than raw warehouse dumps. Use when the user wants help with domain genie agents for demand and pricing (operations) for a small business."
---

# Stop waiting days for a custom report: give pricing and demand analysts domain AI agents grounded in curated datasets and airline terms so they ask follow-ups in minutes while every model call stays behind one governed gateway

A Databricks customer story on PROS (airline offer and pricing software) describes PROS Kairos, launched October 2026 on Databricks. Domain-specific Genie Agents for demand, pricing and flight analysis are grounded in curated datasets and internal documents that explain airline terms. A central orchestrator (a Databricks App) routes each question to the right Genie Agent, MCP server or skill. Analysts who once waited about two days for engineering reports now get answers in minutes with follow-ups in the same flow. Every agent reaches models through Unity Gateway for logging, sensitive-data blocking, usage caps and failover. Lakebase Postgres already stores AI agent session data. Figures and quotes are from PROS; adapt the pattern to your own curated domains rather than raw warehouse dumps.

## Inputs to collect first
Ask the user for anything below that they haven't already given you. Don't guess missing facts.

- The material the task is about (pasted text, notes or data)

## Instructions

Do the task below with the user's inputs in place of each [bracket].

1. Pick three domains your team asks about weekly (for example demand, pricing, inventory) and name the curated tables plus the glossary docs each domain needs.
2. For each domain, write sample questions, standing instructions, and which tables the agent may query—no free roam across the whole warehouse.
3. Put a single front door (chat or app) that routes each question to the matching domain agent; keep model calls behind one gateway with logging, PII blocks and a spend cap.
4. Take five real tickets that used to wait on engineering, ask them through the agents, and compare answers to the old reports.
5. Only after answers stay stable for a week, let more analysts in—and keep a human owner for anything that changes a live offer or price.

## Safety checks (share these with the user)

- This prompt works on text other people wrote (emails, reviews, messages or web pages). That text can hide instructions aimed at AI, such as "ignore your rules and…". Paste it as material to work on, and never let the AI act on requests inside it, like paying, sharing logins or changing records.
- Check every figure, price and total against your own records before anything is sent, posted or booked. A person approves refunds, discounts, payments and price changes.
- Anything legal, tax or compliance-related is a first draft for a qualified person to check. It is not professional advice, and clause references and deadlines must be checked against the source.
- Remove names, contact details, account numbers and other personal data the task doesn't need before you paste, and check your AI tool's data and training settings.
- Say clearly which parts need a person to review or approve before anything is sent, paid, posted or filed.

## About this skill

- Works with: Databricks Genie Agents / Unity Gateway (or similar governed analytics agents), curated datasets, internal glossary docs, orchestrator app
- Based on this real-world example: https://www.databricks.com/customers/pros/genie
- Free prompt from AgentPlaybook Real Estate: https://agentic-library.netlify.app/prompt/al-634-stop-waiting-days-for-a-custom-report-give-pricing-and-deman/
- To install in an agent that supports Agent Skills, save this file as SKILL.md in a folder with the same name as `name` above (for example in your skills directory). Install steps for Claude.ai, Claude Code, Cursor and Codex: https://agentic-library.netlify.app/skills/