GPU buying assistant powered by Runner H

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

What I Built

I built a GPU buying assistant powered by Runner H, which automates market research, performance analysis, and purchasing advice

Demo

Budget options

Mid-range options

High-end options

Recommendation

How I Used Runner H

I used Runner H to streamline my search for the best NVIDIA and AMD GPU deals with a focus on gaming performance and AI model workloads. I prompted it with:

"Go to Newegg and find the best NVIDIA/AMD GPU deals and compare the products. Finally give a recommendation, which product to buy. The purpose of buying a GPU is for gaming and running AI models."

Runner H navigated to Newegg, filtered through both NVIDIA and AMD graphics cards, and evaluated them based on price-to-performance ratio, VRAM capacity, AI acceleration capabilities (e.g., tensor cores for NVIDIA, ROCm support for AMD), and gaming benchmarks. It then compared the top-performing cards side by side—looking at specs like CUDA cores vs. stream processors, memory bandwidth, cooling solutions, and user reviews.

Finally, it gave a recommendation tailored to my needs (gaming + AI), balancing performance, compatibility, and cost. This helped me quickly identify the most suitable GPU without having to manually research each option.

Use Case & Impact

This GPU buying assistant has several real-world applications and clear benefits across multiple domains. Here's a breakdown:

Real-World Applications
PC Builders & Gamers
Quickly find the best value GPUs for high-performance gaming.
Avoid time-consuming research across dozens of product pages and benchmarks.

AI Researchers, Developers & Enthusiasts
Identify GPUs with optimal VRAM, CUDA cores, or ROCm support for training or running AI models (e.g., deep learning, inference).
Select cards that balance price and capability for AI workloads, without needing to manually cross-reference specs and compatibility.

Tech Retailers & Resellers
Automate competitive pricing and product comparison to advise customers or make smarter bulk-purchase decisions.

System Integrators / Custom PC Shops
Integrate the solution into sales or recommendation platforms to provide dynamic, updated GPU suggestions tailored to customer use cases.

Content Creators / Streamers
Find GPUs that support both high-frame-rate gaming and fast video rendering (AI-assisted encoding, NVENC, etc.)

Who Benefits
Gamers who want max FPS without overpaying.
ML Engineers/AI hobbyists needing the best value hardware for model training.
IT buyers or procurement teams who need to outfit machines with capable GPUs.
Tech bloggers, YouTubers, or influencers looking to recommend the best GPUs without manually curating every deal.
Developers building recommendation tools or e-commerce assistants.

How It Improves Existing Processes
This solution significantly improves existing GPU research and purchasing workflows by automating what is traditionally a time-consuming and fragmented process. Instead of manually browsing dozens of product listings, comparing technical specifications, reading user reviews, and searching forums for gaming or AI performance benchmarks, users receive a streamlined experience where the best deals are automatically identified and compared in real time. The tool centralizes all relevant data—such as price, performance metrics, and AI capabilities—and intelligently filters it based on the user’s needs. This reduces the risk of overpaying or selecting underpowered hardware, and eliminates the need to sift through multiple tabs and sources. Ultimately, it delivers accurate, high-confidence GPU recommendations tailored to specific use cases like gaming and AI, saving users both time and money.