Advanced AI skills - detailed optimization
System 1 (Comprehensive):
Complex paid trips with multiple factors
System 2 (Points):
Premium cabin awards, multi-program portfolios
System 3 (Corporate):
Business travel with policy constraints
Critical for Power Users
These templates create massive prompts (500-1000 tokens). Only use them when you genuinely need this level of analysis. For simple trips, use Intermediate templates instead.
You should understand: airline alliances, fare classes, award charts, GDS systems, and travel policy structures to use these effectively.
Verification is Non-Negotiable
At this level, you're making complex, often expensive decisions. Always verify:
These comprehensive templates enable multi-dimensional analysis and strategic optimization
Multi-source search with full optimization analysis
Execute a multi-source flight search with full optimization analysis:
**SEARCH PARAMETERS**
- Origin: [City/airport(s) with codes]
- Destination: [City/airport(s) with codes]
- Travel Dates: [Exact dates] OR [Date range with flexibility matrix]
- Pax: [Number] [ADT/CHD/INF] with exact ages if applicable
- Cabin: [Class with fare buckets if known]
- Budget: $[Total] with [%] flexibility for value
**OPTIMIZATION PRIORITIES** (weighted 1-10)
- Cost minimization: [Weight]
- Time efficiency: [Weight]
- Comfort/reliability: [Weight]
- Loyalty value: [Weight]
**CONSTRAINTS MATRIX**
- Layover limits: [Max number] @ [Max hours each]
- Time windows: Depart [earliest]-[latest], Arrive [earliest]-[latest]
- Equipment restrictions: [Aircraft types to avoid]
- Alliance preferences: [Star Alliance/OneWorld/SkyTeam]
- CO2 considerations: [Yes/No with max % premium]
**SEARCH METHODOLOGY**
1. Primary: Search via [Google Flights matrix/Kayak explore/Skyscanner]
2. Secondary: Direct airline site checks for [airline codes]
3. Tertiary: Package deal assessment on [sites]
4. Alternative: Nearby airport radius search [miles]
5. Advanced: Hidden city/positioning flight analysis
**OUTPUT REQUIREMENTS**
Format: Comparative analysis table with columns:
- Total all-in cost (including [bags/seats/fees])
- Effective $/hour calculation
- Loyalty earning potential (miles/$)
- CO2 estimate (kg)
- Cancellation/change risk score (1-5)
- Value score weighted by priorities
Include:
- Top 3 recommendations with justification
- Alternative date savings analysis
- Price trend prediction
- Booking timeline strategy
- Contingency options
Premium cabin award space analysis with multi-program optimization
Conduct premium cabin award space analysis with multi-program optimization:
**POINTS PORTFOLIO**
[Program]: [Balance] @ [valuation cpp] | Transfer partners: [list]
[Program]: [Balance] @ [valuation cpp] | Transfer partners: [list]
[Program]: [Balance] @ [valuation cpp] | Transfer partners: [list]
**TARGET REDEMPTION**
- Route: [Origin(s)] → [Destination(s)]
- Dates: [Date range] with [flexibility] days
- Cabin: [Minimum class] with [upgrade bid strategy]
- Travelers: [Number] with [status levels]
**SEARCH PROTOCOL**
Phase 1: Saver space sweep across:
- Alliance availability (Aeroplan, ANA, Avianca)
- Partner portals (Virgin, Flying Blue, Qantas)
- Dynamic program searches (Amex, Chase, C1)
Phase 2: Mixed cabin optimization:
- Long-haul premium + short-haul economy
- Positioning flight cost analysis
- Open-jaw/stopover valuation
Phase 3: Risk-adjusted strategy:
- Waitlist probability assessment
- Transfer timing vs. space risk
- Cash co-pay vs. points valuation
**OUTPUT REQUIREMENTS**
1. Matrix of available options with:
- Total points cost by currency
- Effective cpp with surcharges
- Space availability calendar
- Transfer timing requirements
2. Recommended strategy with:
- Exact booking sequence
- Points transfer schedule
- Contingency plans
- Alternative airports/dates
3. Value protection measures:
- Award change policies
- Upgrade possibilities
- Protection against devaluation
Optimize corporate travel with T&E policy compliance
Optimize corporate travel with T&E policy compliance:
**POLICY PARAMETERS**
- Travel policy code: [Policy ID/version]
- Approved airlines: [IATA codes]
- Cabin rules: [Class by distance/role]
- Advance purchase: [Days minimum]
- Change flexibility: [Level required]
- Reporting requirements: [Carbon/expense]
**TRIP SPECIFICS**
- Purpose: [Client meeting/conference/etc.]
- Travelers: [Names with roles/status levels]
- Dates: [Fixed/flexible with meeting schedules]
- Route: [City pairs with alternatives]
- Budget code: [Cost center/project code]
**OPTIMIZATION GOALS**
Primary: Policy compliance (100% required)
Secondary: Cost minimization within [%] of benchmark
Tertiary: Traveler productivity/time efficiency
**SEARCH PROTOCOL**
1. Check GDS via [corporate tool]
2. Benchmark against [industry avg/previous trips]
3. Policy exception analysis for premium options
4. Group booking assessment if applicable
5. VAT/recovery opportunities
**REQUIRED OUTPUT**
A. Compliant Options Matrix:
- Option | Airline | Cost | Policy compliance % | Productivity score
B. Recommendation Package:
- Primary selection with justification
- Exception request documentation if needed
- Alternative compliant options
- Savings vs. benchmark calculation
C. Booking & Management:
- Approval workflow requirements
- Change/cancel protocol
- Expense coding instructions
- Carbon offset calculation