Introduced Dusty (TCS AI), how to use correct TCS terminology, live prompt testing, reporting examples (revenue, skips, payroll, efficiency), and ideas for future AI training like routing and forecasting.
👉🏼 Download our Dusty Prompts Cheat Sheet and Prompt Guide
1️⃣ Dusty Overview & How It Works
🕒 0:00 – 0:10
Introduced Dusty as TCS-specific AI assistant
Must use TCS terminology (skip, bump, reschedule, provider, etc.)
Pulls from Quick Help articles, reports, and database
Still “learning” — developers actively training it
Can be used on desktop + mobile
2️⃣ Live Prompt Testing & Reporting Examples
🕒 0:10 – 0:35
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Tested prompts for:
Tasks / zones setup
Completed jobs by route
Highest paying customer
Time off events
Open scheduling hours
Key lesson: wording matters
If Dusty can’t pull data, it directs where to find it
Developers update based on real usage
3️⃣ Operational Insights Using Real Data
🕒 0:25 – 0:35
Trend analysis: completed jobs month-to-month
Identified revenue drops & seasonal trends
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Skip/Bump/Reschedule impact analysis:
Example client: 25% disruption rate
$1,000+ revenue lost due to skips/bumps
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Importance of pressing correct TCS buttons
Skip = lost revenue
Reschedule = same-week shift
Bump = office-initiated change
4️⃣ Payroll, Efficiency & Forecasting Prompts
🕒 0:30 – 0:55
Ask projected payroll based on scheduled revenue
Compare estimated vs actual (efficiency tracking)
Identify over-time jobs
Pull tips, mileage reimbursements, trainer pay
Forecast weekly revenue & labor costs
Track turnover via active/inactive providers
5️⃣ Advanced & Future AI Capabilities
🕒 0:55 – 1:00+
Client anniversary tracking (price increases)
Longest subscriptions + price comparison
Feedback/star rating reports (needs training)
Flexible schedule revenue analysis
Arrival window accuracy checks
Route optimization suggestions (future goal)
“How can I become more profitable?” prompts
🔎 Core Takeaways
Dusty is powerful but requires precise TCS wording
Use it for both simple setup questions and advanced reporting
Incorrect button usage affects reporting accuracy
Real-time user testing helps train and improve the AI
Long-term vision: route optimization, profitability insights, and scheduling intelligence
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