Mohamed Nizzad

Posted on Jul 6

Runner H Helped Me Save $$$💸💸💸 on My Round-Trip to Toronto in 2025 [✈️Flight Search Demo Included 🎥]

#devchallenge #runnerhchallenge #ai #machinelearning

This is a submission for the Runner H "AI Agent Prompting" Challenge

🎯 The Objective of FlightFinder – RunnerH Powered Budget Travel Companion

As someone who thrives on solving everyday challenges using intelligent automation, my goal with this submission is to Unleash RunnerH's AI Agent for Real-World Wins and showcase how a prompt-driven approach—powered by RunnerH—can transform the way travelers discover and book flights, especially on a budget.

International air travel is often expensive, time-consuming to research, and filled with pricing traps. Many budget-conscious travelers lack the tools, time, or know-how to explore alternative routes, regional pricing quirks, or advanced booking hacks. That’s exactly the gap FlightFinderAgent fills—a prompt-engineered travel assistant that does the heavy lifting in finding the cheapest, most flexible flight options using AI and human-verified travel hacks.

This submission aims to show how RunnerH can enable developers and tinkerers to:

Prompt-engineer expert-level flight search assistants,
Incorporate legal, real-world cost-saving tactics like nearby airport swaps, flexible date ranges, and layover optimizations,
Automate structured results that match user constraints like baggage inclusion, visa rules, and cabin class,
Empower travelers to book smarter—without needing 15 tabs of comparison tools open.

By leveraging RunnerH’s prompt workflow, I’ve crafted a simple but powerful AI Agent that found me a round-trip ticket from Colombo to Toronto in July 2025 for just LKR 444,965 ($1,155) with a full breakdown of airlines, baggage rules, and price alerts.

Through this demo, I hope to inspire solo makers, AI hobbyists, and frequent travelers to see prompt engineering with RunnerH's Powerful Multi AI Agent not just as a tech trick—but as a real tool for real savings in everyday life.

1️⃣ What I Built
2️⃣ RunnerH Demo
3️⃣ How I used RunnerH
↳ What is RunnerH
↳ Prompt Template
↳ Prompt Output
↳ Known Tips and Tricks
4️⃣ Use Case & Who Benefits
🔚 Wrapping Up
❤️ Social Love

1️⃣ What I Built – FlightFinder: Powered by RunnerH

As a result of this exploration, I’ve developed a prompt-powered flight discovery assistant called FlightFindrAgent — a practical, real-world application that helps users find the cheapest, baggage-inclusive, and visa-friendly flight options based on their preferences.

This project demonstrates how powerful and transformative prompt engineering can be when applied to something we all care about: saving time and money - in this case, on international travel. Built specifically for the RunnerH Prompt Engineering Challenge, this AI assistant turns a structured prompt into a detailed, cost-optimized travel plan.

FlightFinderAgent can:

Search and compare the top 5–10 cheapest flights with baggage, refund rules, layovers, and visa constraints,
Suggest airport swaps (e.g., fly into YTZ instead of YYZ) and budget airlines,
Apply price tracking tips, flexible date windows, and hidden cost filters,
Respect legal travel constraints (e.g., avoid Schengen for visa-free routing),
Format results in a user-friendly, table-based format with real links to booking platforms.

The demo use case? A real scenario: finding a round-trip ticket from Colombo to Toronto in July 2025 that avoids visa hassles (transit visa requirements), includes baggage, and limits layovers—booked at just LKR 444,965 (~$1,155).

While FlightFinderAgent doesn’t rely on code or a traditional backend, the magic lies in the clarity of the prompt and strategic structuring of user parameters—proving that powerful applications don’t always require writing software, but rather engineering the right conversation between human goals and AI tools.

This project illustrates how prompt-first development—when done right—can solve high-impact, real-world problems faster and smarter leveraging the power of RunnerH Agent.

2️⃣ Demo - FlightFinder

3️⃣ How I Used RunnerH with Prompt Engineering

✍️ First Thing First – What is RunnerH?

Before diving into how I used RunnerH, it’s important to understand that RunnerH is an AI Agent designed to help developers build functional, context-aware solutions through structured, reusable prompt templates and workflows.

Unlike traditional code-first approaches, RunnerH encourages intent-driven design—where the prompt becomes the application. It's especially powerful for those looking to build tools that require intelligence, reasoning, or data synthesis without writing full-blown backend logic.

Hence, I studied community demos and official resources such as:

By referring to these resources, I realized that the most impactful prompts begin with a clearly defined intent and structured constraints.

Think of it like talking to a smart travel agent—just better, faster, and always available.

That inspired me to build FlightFinderAgent:

A structured travel planner prompt that could interpret user needs like destination, baggage preference, visa restrictions, budget limits, layovers, and travel windows—and return a sorted, bookable list of real-world flight options optimized for cost and comfort.

✍️ Prompt Template

You are FlightFinderAgent — an expert travel hacker with knowledge of flight search engines, pricing algorithms, and booking trends.

I want you to find me the **cheapest possible flight options** based on the following details. Take into account ALL cost-saving techniques, including hidden-city ticketing (if legal), nearby airport alternatives, budget airlines, flexible dates, and region-specific booking hacks.

╔═══════════ MY TRAVEL DETAILS ═══════════╗
• Departure City / Airport(s): {Colombo}
• Destination City / Airport(s): {Toronto}
• Departure Date: {17 July 2025} ± {4} days
• Return Date (if round-trip): {25 July 2025} ± {3} days
• Number of travelers: {1}
• Cabin Class: {Economy}
• Layover preference: {{2 Maximum if cheaper}}
• Nearby airports OK? {{YES}}
• One-way or Round-trip: {Round-trip}
• Travel Visa or Passport Restrictions: {Avoid Schengen}}
• Preferred Airlines / Avoided Airlines: {Nothing}
• Checked Baggage Included? {Yes}
• Travel Tools Available: {No}

╚═════════════════════════════════════════╝

╔═══════════ OUTPUT FORMAT ═══════════════╗
• Table of top 5–10 cheapest flights sorted by price  
• Include:  
    – Airline  
    – Route  
    – Dates & Times  
    – Total Cost (all fees)  
    – Booking site/link  
    – Baggage included (Y/N)  
    – Refundable (Y/N)  
• Include any known tricks:  
    – Best day to book or fly  
    – Airport swap suggestions (e.g., fly into OAK instead of SFO)  
    – Regional booking hacks (e.g., booking from country X is cheaper)

╚═════════════════════════════════════════╝

Only return legal, bookable flights unless otherwise stated. Consider using platforms such as Google Flights, Skyscanner, Momondo, Kayak, Kiwi.com, or direct airline deals.

Begin now.

💬 Prompt Output

Based on current available options, here are some of the best-priced flights from Colombo to Toronto. These prices were collected from various sources, including Momondo, Google Flights, CheapOair, and others. Keep in mind that prices fluctuate and may change.

It doesn't stop with the above data. It provides some key intelligence and tips to book cheap flight tickets.

Known Tricks and Tips

Flexible Dates: Adjust your travel schedule by a few days for potentially lower fares.
Airport Swaps: Consider nearby airports, both in Colombo and Toronto, as sometimes regional options provide cost savings.
Best Day to Book: **Tuesdays **and **Wednesdays **are often the cheapest for international bookings.
Booking Hacks: Booking well in advance often yields better pricing. Monitor flights for any sudden price drops.

These options should give you a broad overview of the choices, leveraging cost-saving techniques like flexible dates and using nearby airports. Remember, always check the latest details and book directly on official sites or trusted third-party vendors.

I modeled the conversation like a consultation with an experienced travel hacker, giving clear parameters and asking for cost-saving strategies—hidden-city ticketing, flexible dates, and airport swaps included. RunnerH made it easy to frame this logic and turn it into a reusable, scalable prompt-based solution.

Through this, I demonstrated that even non-coding users could leverage the potential of RunnerH with right prompt engineering to build travel tools, budget optimizers, or planning assistants — making RunnerH not just a developer tool, but an everyday problem-solving companion.

4️⃣ Use Case & Impact – Who Benefits from FlightFinder?

While building FlightFinderAgent, I focused on one key principle that useful AI should solve real problems for real people — not just developers or hobbyists. This tool was designed to serve a wide range of users who often face the pain of flight booking overload, decision fatigue, and high travel costs.

✈️ Who is this for?

Budget-Conscious Travelers – Solo travelers, students, digital nomads, or families looking to save money on international travel without compromising safety or comfort.
Frequent Flyers in Emerging Markets – Travelers from countries like Sri Lanka (my test case), India, Pakistan, or Southeast Asia who need to factor in visa restrictions, baggage costs, and regional airline hacks.
Travel Agents or Virtual Assistants – Professionals who need to quickly generate low-cost, customized flight options for clients, without manually browsing multiple sites.
Prompt Engineers and AI Builders – Makers looking for a practical example of how to build a no-code tool using only prompts with deep logic and real-world value.

🌍 How does it improve existing processes?

Traditional flight search requires toggling between multiple tabs, using complex filters, and checking multiple currencies and airport combinations — FlightFinderAgent compresses all of that into one intelligent prompt.

No app or API setup
No coding required
Fully reusable with different travel preferences
Optimized for real booking logic—not just suggestions
Outputs sorted, actionable results, ready to book

Whether you're a traveler trying to cut through the noise or a developer curious about prompt-based automation, FlightFinderAgent Powered by RunnerH demonstrates how AI can make travel planning smarter, faster, and significantly cheaper.

_This is not just a demo. _

It’s a working solution to a problem millions face every year.

🔚 Wrapping Up – Save Smarter, Travel Better with RunnerH + FlightFinder ✈️💡

In this submission, I showcased how RunnerH’s multi-agent prompt framework can be used to solve a high-impact, real-world problem—finding the cheapest, baggage-inclusive, visa-friendly flight options using just one powerful prompt.

By combining structured AI prompts, real-world travel hacks, and automated decision-making, I built FlightFinderAgent — a zero-code, AI-powered assistant that found me a round-trip from Colombo to Toronto for just LKR 444,965 ($1,155).

💡 Whether you're:

A budget traveler looking to book smarter,
A developer or prompt engineer exploring the limits of RunnerH,
Or just someone tired of juggling 15 browser tabs to compare flights…

*FlightFinderAgent * is proof that *RunnerH * with prompt engineering can turn complex tasks into clear, actionable outcomes.

✅ Try it yourself.
✍️ Copy the prompt.
💻 Customize the parameters.
🚀 Watch how AI becomes your personal travel hacker.

Let’s build real tools for real people—one prompt at a time.

Navigate to Go Up

1️⃣ What I Built
2️⃣ RunnerH Demo
3️⃣ How I used RunnerH
↳ What is RunnerH
↳ Prompt Template
↳ Prompt Output
↳ Known Tips and Tricks
4️⃣ Use Case & Who Benefits
🔚 Wrapping Up
❤️ Social Love

❤️ Social Love

📣 Shared on X (aka Twitter)

📣 Shared on Facebook

facebook.com

📣 Shared on LinkedIn

🎯 Just dropped my #RunnerHChallenge submission! | Mohamed Nizzad

🎯 Just dropped my #RunnerHChallenge submission! I built FlightFinder — a prompt-powered RunnerH Agent that found me a round-trip from 🇱🇰 Colombo to 🇨🇦 Toronto for the Lowest Price Possible and Saved 💸💸💸 No code. Just prompt engineering. ✈️ Flight hacks included. 📽️ Demo inside! 🔗 Read more: https://lnkd.in/gNysDjzM #AI #PromptEngineering #TravelTech #buildinpublic #RunnerH #Dev Forem

linkedin.com

📣 Shared on Youtube

I will share updates on the post’s reach and engagement metrics in the comments section, without editing the original post, in full compliance with the competition rules. I aim to reach 25K reach across all the platforms. Let's see how much I can take the message of RunnerH 🙌

💬 Have ideas? Questions? Drop them in the comments below.

📣 If you found this helpful, don’t forget to react, follow, and share with your fellow travel nerds and AI makers.

Top comments (24)

RUSAICK MUFTHI • Jul 7

Awesome insights ✨

RunnerH looks like a fantastic tool for snagging flight deals—saving on a 2025 trip already is next-level! The demo made it super easy to understand how it works.

Thanks for sharing this gem; I’m excited to try it for my next adventure! 🚀

Mohamed Nizzad • Jul 12

Thank you.

Sihanas MN • Jul 7

Wow! It's seems so impressive. The demo shows everything 🔥

Mohamed Nizzad • Jul 7 • Edited

Submission stats so far

Dev.to:
500+ reads along with 100+ engagements

X Platform
100+ views (I am new to the platform)

LinkedIn
850+ reach and impressions

Facebook
50+ Engagements

Youtube
50+ views

Shan F • Jul 7

@mohamednizzad

Thank you for introducing dev.to and the Runner H Challenge to me. Excited to Post my first competition submission.

As usual, Keep up the great work.

Mohamed Nizzad • Jul 12

It is my pleasure

Ahamed Ahnaf • Jul 7

Really impressive work!

I love how you tackled a real, everyday problem finding affordable, hassle-free flights and turned it into such a clear, structured, and genuinely useful AI agent. Your approach to prompt engineering is super thoughtful, especially with the details like visa constraints, nearby airport swaps, baggage rules, and flexible dates.

What really stands out is how accessible you made this. You’ve shown that powerful solutions don’t always need code, but the right conversation design. It’s a great example of how tools like RunnerH can help anyone not just developers solve real-world challenges smarter and faster.

Thanks for sharing your process in such detail. It’s genuinely inspiring and a fantastic resource for anyone looking to build practical, human-centered AI tools. Looking forward to seeing more from you.

Mohamed Nizzad • Jul 11

Thank you for your lengthy comment.

Mohamed Riham • Jul 15

🔥 This is an absolutely brilliant use case of prompt engineering! FlightFinderAgent shows how real-world problems like budget travel can be solved smartly without writing a single line of code. The structured prompt, visa-smart routing, and airport swap logic are just genius. Also love how you made this accessible for everyday users, not just devs. Major kudos on making AI practical and impactful, sir 👏✈️💡