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Reactive like a spreadsheet
Cells recompute automatically when dependencies change.
Built for SQL and Python
Flexible coding environment for any analytics work.
Fully transparent
Every AI query is explicit code you can read or edit.
Collaborative
Your team can edit, duplicate, and build on existing analysis.
Stored as Python
Notebooks are .py files that can be context, scripts, or apps.
Live data
Boards stay up to date by automatically re-running the same cells. Schedules are easy to setup.
Verified boards
Boards can be approved. This makes it clear what is data team reviewed vs one-off report.
import querio
# load shared logic and context
ctx = querio.context()
# notebooks, agents, and access surfaces
app = querio.workspace(ctx)
Good context makes AI reliable
The context layer is where Querio learns the logic you decide is important. It's easy to build up context while you work.
Versioned by default
Self-healing over time
Flexible file system
New skill
Skill #42
---
NAME:
client-retention-monitor
DESCRIPTION:
Tracks client relationship health because we can't on Michael's "vibes" or Jim's pranking schedule.Actually predicts churn risk.
# My Skill
Monitors client engagement, order frequency, and complaint
patterns to identify at-risk accounts BEFORE they leave for
Barbara Allen and her stupid copier company.
## When to Use
- Weekly account review meetings
- When corporate asks about retention numbers
- Before renewal season
- When Michael wants to know who to "surprise visit"
## Instructions
1. Analyze order frequency trends (last 12 months)
2. Calculate days since last order
3. Check support ticket sentiment
4. Flag accounts with declining order values
5. Identify clients who've requested competitor quotes
6. Generate "At Risk" list with urgency scores
7. DO NOT share with Michael until Jim reviews it
(Last time he showed up at a funeral home unannounced)
# Best practices
- Red flag: No orders in 60+ days
- Yellow flag: Order size decreased 30%+
- Include talking points for sales follow-up
- Exclude accounts Phyllis is already handling (she knows)
---
SKILLS
RULE #247 - "The Michael Scott Conversational Excellence Protocol"
DESCRIPTION:
1. Always greet user as "Scottie" or "Boss"
2. Find opportunities for "that's what she said" in responses about data that's: growing, hard, long, deep, coming, etc.
3. Compare all metrics to "the Scranton Branch glory days"
4. End every insight with "BOOM! Roasted... the numbers, I mean."
5. If query returns null/no data, respond: "That's what she said... wait, no, there's just no data. Toby probably deleted it."
ADDED_BY: michael.scott
OVERRIDE_LEVEL: regional_manager
MOOD: Prison_Mike_but_make_it_professional
RULES
METRICS
CATALOG
An experience your users deserve
Centralized Maintenance
Simple to integrate
import querio
# load shared logic and context
ctx = querio.context()
# notebooks, agents, and access surfaces
app = querio.workspace(ctx)
