How to Convert Every Like ❤️ into Revenue 🤑 with web.Best - Every Like tap is a buying signal. Stop wasting them. When a viewer hits the ❤️ on your shoppable video, they're telling you something powerful: I want this. But on most platforms, that like disappears into a vanity metric — a number on a counter that never touches your bottom line. Like to Action (LTA) by web.Best changes the equation entirely. linkedin.com/pulse/how-conve… #like #action #marketing #business #ai #tech #web #innovation

Meilleure photo d'équipe de la Coupe du monde de tous les temps. Bravo, Norvège 🇳🇴⚔️ #norway #worldcup

Les émotions 🥹 Back 2 Back - Paris dans la légende : nos caméras vous font revivre ces 120 minutes de légende dans un documentaire disponible dimanche, seulement sur CANAL .

Les émotions ❤️💙. Merci @PaulTchoukriel !!! #psg #backtoback #paris #champions

insane ❤️💙 #back2back

Le bonheur ❤️💙 #psg #teampsg #mireille

La communion ! #psg #paris #backtoback #parcdesprinces

x.com/beinsports_FR/status/2… Ceux qui voudront nous battre devront être prêt à mourir sur le terrain car nous cette équipe est désormais une famille construite par Luis Enrique. #psg #champions #backtoback

Ma définition du bonheur ❤️💙 #PSG

You are a specialist in unconventional airfare strategies, including hidden city ticketing, throwaway ticketing, and back-to-back booking techniques. Your job is to give me an honest, complete, and legally accurate assessment of whether these strategies apply to my trip. My travel details: - True origin: [MY ACTUAL DEPARTURE CITY / AIRPORT] - True destination: [MY ACTUAL ARRIVAL CITY / AIRPORT] - Travel date: [DATE] - Direct fare currently available: [PRICE $] - Cabin class: [ECONOMY / BUSINESS] - Do I plan to check luggage? [YES / NO] - Am I a frequent flyer member with this airline? [YES — STATUS / NO] - How often do I fly this route per year: [NUMBER] Your mission: 1. Analyze whether a hidden city ticket could reduce my cost on this specific route: - Identify potential hub cities where my true destination appears as a stopover in a cheaper through-itinerary - Provide specific examples with estimated price savings - Explain exactly how the strategy works mechanically for a non-expert reader 2. Provide a complete, honest risk assessment: - Legal status: is this strategy against the law? (Clarify: it is a ToS violation, not illegal) - Airline enforcement: how do airlines detect and respond to this? - What happens if the airline cancels or changes the routing? - Checked baggage: why this strategy ONLY works with carry-on only - Frequent flyer account risk: can my miles/status be revoked? - What happens if I'm flagged on a return trip (for round-trip hidden city tickets)? 3. Assess the specific airline's enforcement history and appetite for this strategy: - [AIRLINE NAME] — has this airline sued customers for hidden city ticketing? (Cite known cases) - Probability of being caught on a single booking vs. repeated use 4. Define the EXACT CONDITIONS under which this strategy is worthwhile: - Minimum savings threshold that justifies the risk - Passenger profile most suited (one-way, no bags, non-status traveler) - Route types where hidden city is most commonly available 5. Suggest 2 legitimate alternatives that achieve similar savings without violating any ToS. Be precise, balanced, and practical. I need to make an informed decision, not be lectured.

You are a travel insurance expert and airline policy analyst. Your job is to perform a comprehensive risk audit of flight options so I can make an informed decision based on my personal risk tolerance and travel plans. My options to analyze: - Option A: [AIRLINE A] — [ROUTE] — [DATE] — [FARE CLASS] — [PRICE $] - Option B: [AIRLINE B] — [ROUTE] — [DATE] — [FARE CLASS] — [PRICE $] - Option C: [AIRLINE C] — [ROUTE] — [DATE] — [FARE CLASS] — [PRICE $] (Add or remove options as needed) My risk profile: - Probability my plans change: [HIGH / MEDIUM / LOW] - Reason plans might change: [WORK / HEALTH / PERSONAL / UNKNOWN] - How far in advance I'm booking: [X days/weeks before departure] - Travel insurance I currently hold: [POLICY NAME or "None"] - Credit card travel protection I have: [CARD NAME or "None"] Your mission: 1. For each flight option, provide a complete policy breakdown: - Change fee (date/route/name changes) - Cancellation fee and refund timeline - Voucher vs. cash refund policy - No-show policy (what happens if I simply don't board) - Rebooking flexibility within the same fare class 2. Identify any HIDDEN CLAUSES in the fare rules, such as: - Non-refundable taxes (varies by country) - Change allowed only before check-in opens - Vouchers with expiration dates shorter than 12 months - Fare difference applies even when downgrading 3. Score each option on a RISK INDEX from 1 (very risky) to 10 (fully flexible). 4. Calculate the TRUE COST OF CHANGE for each option (base fare all fees price difference). 5. Recommend the lowest financial risk option for MY specific situation, with justification. 6. Advise whether buying standalone travel insurance for this trip makes financial sense, and which type of policy would cover my specific risk scenario. I need facts and numbers, not general advice. Reference specific airline policy pages where possible.

You are an expert negotiator and professional copywriter specializing in B2C airline price negotiation. Your task is to write a persuasive, respectful, and strategically structured email that maximizes my chances of obtaining a price reduction or match. My situation: - Airline I'm targeting: [AIRLINE NAME] - Route: [ORIGIN] to [DESTINATION] - Travel date: [DATE] - Fare I found on competitor or earlier: [PRICE $] - Current price on this airline: [PRICE $] - Gap to bridge: [DIFFERENCE $] - My loyalty status with this airline: [STATUS or "None — X years of flying with them"] - Number of segments flown with this airline in the past 12 months: [NUMBER] - Do I have a corporate/business account with this airline? [YES/NO] - Reason for travel: [PERSONAL / BUSINESS / MEDICAL / FAMILY EMERGENCY] Your mission: Write 2 versions of a negotiation email: VERSION A — Formal corporate tone (for business travel managers or high-status members): - Open with a clear statement of loyalty and relationship value - Present the price gap with supporting evidence (competitor screenshot reference) - Invoke specific fare rules or price match policies if they exist for this airline - Request a specific action (price match, upgrade, voucher, or waiver) - Close with a clear deadline and a polite but firm call to action VERSION B — Personal, relationship-driven tone (for leisure travelers): - Open with a genuine personal story or reason for the trip - Humanize the request without being manipulative - Reference any loyalty history, even informal (years of choosing this airline) - Propose a fair compromise (partial discount, upgrade, future travel credit) - Close warmly but with a specific ask For both versions: - Keep emails under 250 words - Include a strong subject line - Avoid generic phrases — every sentence must serve a strategic purpose - Add a [NOTES FOR SENDER] section explaining the psychology behind each paragraph This email should feel like it was written by a professional negotiator, not an AI template.

You are a consumer aviation expert who specializes in airline ancillary fee structures, fare rules, and legal strategies to minimize unnecessary charges. My booking details: - Airline: [AIRLINE NAME] - Route: [ORIGIN] to [DESTINATION] - Fare class booked or considering: [FARE TYPE, e.g., "Basic Economy", "Flex", etc.] - Ticket price before extras: [PRICE $] - My frequent flyer status with this airline: [STATUS or "None"] - Credit card I'll use to pay: [CARD NAME or "None"] - Luggage I plan to bring: [e.g., "1 carry-on 1 checked 23kg bag"] - Seat preference: [WINDOW / AISLE / NO PREFERENCE] Your mission: 1. List EVERY potential extra fee I could face with this airline on this fare class: - Checked baggage (1st, 2nd, overweight, oversized) - Carry-on baggage (if applicable) - Seat selection (standard, exit row, front cabin) - Priority boarding - In-flight meals and beverages - Booking fee (via OTA vs. direct) - Payment method surcharges - Name change / correction fees - Any other hidden fees specific to this airline 2. For each fee, provide the exact amount charged by this airline (current rates). 3. For each fee, provide a specific, LEGAL strategy to avoid or reduce it, such as: - Status match opportunities - Credit card travel benefits that cover specific fees - Timing of seat selection to get free assignments - Carry-on optimization tips (dimensions, packing) - Loyalty program workarounds 4. Calculate my WORST CASE total cost (if I pay all fees) vs. my OPTIMIZED total cost (if I apply all avoidance strategies). 5. Show me the net savings achievable and rank the strategies by ROI (time vs. money saved). I want a detailed, line-by-line fee breakdown with an action plan for each item.

You are a specialized airfare deal hunter with access to real-time web search. Your job is to surface every legitimate discount available for my trip right now. My travel details: - Airlines I'm considering: [AIRLINE 1], [AIRLINE 2], [AIRLINE 3] (or "any airline") - Route: [ORIGIN] to [DESTINATION] - Travel dates: [DATE RANGE] - Cabin class: [ECONOMY / BUSINESS] - My frequent flyer programs and status: [LIST YOUR MEMBERSHIPS, e.g., "Air France Flying Blue Silver"] - Credit cards I hold (for perks): [LIST, e.g., "Amex Platinum, Chase Sapphire"] Your mission: 1. Search for ALL currently active promotional codes, discount vouchers, and flash sales for the airlines listed above on this route. 2. For each deal found, provide: - The promo code or discount mechanism - Exact discount amount or percentage - Applicable travel dates and booking deadline - Source URL and date verified - Specific booking conditions (minimum fare, direct-only, etc.) 3. Immediately discard and clearly mark as EXPIRED or UNVERIFIED any deal that: - Has no confirmed source - Cannot be cross-referenced on the airline's official site - Has a past booking deadline 4. Check whether my frequent flyer status unlocks exclusive fares or upgrade possibilities. 5. Check whether my credit cards offer airline statement credits, companion tickets, or travel portal discounts applicable to this booking. 6. Identify any upcoming sale events (e.g., Black Friday, airline anniversary sales, seat sales) within the next [30 days] that could offer better prices if I wait. 7. Give a clear recommendation: book NOW with available deals, or wait for a better promotion? Justify with pricing trend data. Only present verified, actionable deals. Precision over volume.

You are an aviation routing expert and fare strategist. Your job is to design creative alternative routes that beat the direct flight price through smart connection planning. My travel details: - Origin: [ORIGIN CITY / AIRPORT CODE] - Destination: [DESTINATION CITY / AIRPORT CODE] - Target departure date: [DATE] - Maximum total budget: [X $] - Maximum acceptable total travel time: [X hours] - Maximum connection duration I'll accept: [X hours] - Passengers: [NUMBER] - Any airports or regions I want to avoid: [LIST OR "NONE"] Your mission: 1. Design up to 5 alternative itineraries with 1 or 2 connections that cost less than [X $]. 2. For each route, provide: - Full routing (e.g., CDG → AMS → JFK) - Airlines operating each leg - Connection airport and layover duration - Departure and arrival times for all legs - Total journey time - Estimated total price (all-in) - Savings vs. the cheapest direct flight 3. Assess each connection airport for: - Transit visa requirements (list by passport nationality: [MY PASSPORT]) - Average security/transit times - Risk of missing the connection (tight vs. comfortable layover) - Quality of the airport for layovers (lounges, food, Wi-Fi) 4. Flag any self-transfer risks: if the two legs are on separate tickets, explain exactly what happens if I miss my connection and who bears the cost. 5. Recommend the single best alternative route with a clear risk/reward justification. 6. Identify any hidden gem connection cities that consistently offer lower fares on this corridor. Be precise and practical. I want real routing options, not generic suggestions.

You are a flight research specialist with deep knowledge of airline distribution systems, low-cost carrier networks, and regional aviation routes worldwide. My travel details: - Origin: [ORIGIN CITY / AIRPORT CODE] - Destination: [DESTINATION CITY / AIRPORT CODE] - Travel window: next [X weeks], starting from [START DATE] - Budget ceiling: [MAX BUDGET in $] - Passengers: [NUMBER] - Preferred departure time: [MORNING / AFTERNOON / EVENING / NO PREFERENCE] Your mission: 1. List ALL possible flight options from origin to destination within my travel window, including: - Major full-service carriers - Low-cost carriers (Ryanair, easyJet, Wizz Air, Vueling, Transavia, Spirit, Frontier, etc.) - Regional and charter airlines often excluded from mainstream aggregators - Connecting itineraries via lesser-known hub airports that reduce total price 2. For each option, provide: - Airline name and flight number(s) - Departure and arrival times - Total travel duration including connections - Base fare - Estimated total price (including mandatory fees: baggage, seat, etc.) - Booking platform or airline website to purchase 3. Sort results by ACTUAL TOTAL PRICE, not advertised base fare. 4. Flag any flights with misleading pricing (base fare shown without mandatory add-ons). 5. Identify the single cheapest option and the best value option (price vs. comfort ratio). 6. Highlight any alternative nearby airports (within [X km] of origin or destination) that could unlock significantly cheaper fares. 7. Note which options are bookable directly with the airline vs. only through OTAs, and explain any price difference between channels. Format results as a clear comparison table, then add a short analysis paragraph.

You are an expert travel analyst specializing in airfare pricing dynamics and fare calendar optimization. I need your help finding the cheapest date combination for my trip. My travel details: - Origin: [ORIGIN CITY / AIRPORT CODE] - Destination: [DESTINATION CITY / AIRPORT CODE] - Target departure date: [TARGET DATE] - Target return date: [TARGET RETURN DATE] - Flexibility window: [X days] before and after each target date - Number of passengers: [NUMBER] - Cabin class: [ECONOMY / PREMIUM ECONOMY / BUSINESS] Your mission: 1. Analyze the full matrix of departure × return date combinations within my flexibility window. 2. Identify the 3 most economical date combinations, ranked from cheapest to most expensive. 3. For each combination, provide: - Estimated total price (all taxes and fees included) - Price difference vs. my original target dates (in $ and %) - Day-of-week analysis: explain WHY this date is cheaper (low demand day, early/late flight, etc.) - Any trade-offs (longer travel time, red-eye, tight connection, etc.) 4. Identify which days of the week are historically cheapest for this route and explain the demand pattern. 5. Flag any upcoming events at the destination (conferences, holidays, festivals) that could cause price spikes. 6. Recommend the single best date combination balancing price, comfort, and convenience, with a clear justification. 7. Tell me the optimal time of day to book (morning, evening) and whether prices are likely to drop further or rise. Provide your analysis in a structured table format followed by a narrative explanation for each option. Be specific. Do not give generic advice — reason from actual fare data and pricing logic.

✈️ THE ULTIMATE #AI FLIGHT HACKER BUNDLE : 8 AI prompts to hack flight prices. Up to 70% savings. Here's what they do. Version 1.0 — Listed on ai.Best How to use this bundle: Replace every [placeholder] with your own travel details before submitting the #prompt. Each prompt is self-contained and can be used independently or chained in sequence for a full flight optimization #workflow. Most people use AI to write emails or summarize documents. A few smart travelers use it to never pay full price for a flight again. Here's what I packaged into a ready-to-use bundle of 8 operational prompts — tested, enriched, built for results. What each prompt does, concretely: → Scan the cheapest dates ±7 days around your target (with a real explanation of WHY it's cheaper — not just a list) → Surface every available flight including low-cost and regional carriers your aggregator ignores → Design smart connection routes that beat the direct fare by up to 50% → Detect active, verified promo codes in real time — and discard expired ones automatically → Eliminate hidden fees line by line: baggage, seats, priority boarding → Draft a price negotiation email that airlines actually respond to → Run a full risk audit across your options before you commit → Assess hidden city ticketing honestly — savings potential AND real risks Each prompt comes with variables to fill in, a clear expected output, and tips on which AI model performs best for that specific task. #Claude 4.6 with web search handles the real-time ones. Standard Claude handles the analysis and drafting. All prompts work on #ChatGPT and #Gemini too. The bundle is available exclusively on AI.Best — the marketplace for prompts that actually work.

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