The Great AI Comparison: Which Tool Fits Your Workflow Best? by Runner H

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

What I Built

I built an automated AI Tool Comparison Generator using Runner H’s agent capabilities. This agent takes 4–5 popular AI tools (like ChatGPT, Gemini, Notion AI, Claude, and Perplexity), visits their websites, YouTube demo videos, and pricing pages, and auto-generates a detailed comparison table + infographic.

The goal is to help users, developers, and decision-makers quickly compare tools across critical features like output quality, speed, privacy, integrations, and pricing — without doing manual research.

What sets this apart? I connected the Runner H agent to Google Docs and Notion, enabling it to surf embedded documents, product changelogs, and deep-dive feature breakdowns that are often missed when scraping just public-facing websites.

Demo

Prompt

Compare the following 5 AI tools:

- Notion AI
- Google Gemini (Workspace integration)
- ChatGPT (OpenAI)
- Claude (Anthropic)
- Perplexity AI

Visit each tool’s:

- Official website
- YouTube demos and walkthroughs
- Pricing pages and feature docs

Create a comparison table and a visually engaging infographic based on these 10 features:

- Core Capabilities – What can it do (writing, coding, research, summarization, etc.)?
- User Interface & Experience – Ease of use, visual design, onboarding
- Integration Support – Works with Google Docs, Slack, APIs, browser extensions, etc.
- Output Quality – Accuracy, nuance, style, tone control
- Speed & Performance – Response time, downtime reports, performance under load
- Customization Options – Custom instructions, personas, plugins
- Collaboration Tools – Shared chats, team spaces, export options
- Pricing & Plan Tiers – Free tier vs pro plans, monthly cost, limits
- Privacy & Data Usage – Data retention, user control, enterprise options
- Unique Selling Points – Any special features, modes, or tech differentiators
End with a 1-line summary for each tool:

“Best for ____” (e.g., students, researchers, product managers, etc.)

✅ Below attached the Demo link from Runner H

AI Comparison Tool

✅ Attached the Youtube Video

Screenshots

• Connecting to Google Docs & Notion In this first step, the Runner H agent is configured to access and surf embedded Google Docs and Notion pages. These sources often contain detailed product specs, roadmaps, or changelogs that aren't available on public landing pages — making this step essential for capturing rich, contextual insights about each AI tool.

• Searching Information for 5 AI Tools The agent then begins its information-gathering phase, visiting the official websites, YouTube demos, pricing pages, and documentation for the selected AI tools — ChatGPT, Google Gemini, Claude, Notion AI, and Perplexity AI. This ensures it collects up-to-date and accurate data across 10 comparison features.

• Feature-by-Feature Comparison Table

Once the data is extracted, Runner H compiles it into a structured comparison table, highlighting differences across 10 key features like core capabilities, output quality, speed, integrations, customization, and pricing. This table is automatically exported to Google Docs for easy viewing, editing, or sharing.

• Summary & Recommendations

Finally, the tool generates a summary row for each AI assistant, offering a concise “Best for ___” recommendation. This helps users quickly identify which tool is ideal for students, creators, teams, technical users, or enterprise adoption — turning hours of manual comparison into a one-minute insight.

Generated PDF
Link

How I Used Runner H

I used Runner H’s agent framework to:

• Input Prompt Structure: Created a structured prompt that asks the agent to compare 5 specific AI tools across 10 detailed features.
• Live Web Scraping: The agent navigates to the official sites, YouTube demos, and pricing pages of each tool.
• Data Aggregation: Runner H extracts key points from various sources and compiles them into a table.
• Infographic Generation: The agent outputs a ready-to-publish infographic summarizing findings visually.
• Export: The results are exported directly into a Google Docs and image asset, ideal for content creators or analysts.

Use Case & Impact

✅ Product Managers comparing LLM-powered platforms
Quickly evaluate AI tools based on technical depth, integration support, and team collaboration features. Helps make data-driven decisions aligned with product goals and timelines.
✅ Founders & CTOs evaluating which AI to embed
Gain clarity on performance, API access, privacy policies, and scalability. Reduces risk when selecting the best-fit AI solution for long-term product infrastructure.
✅ Content Creators building blogs, reels, or carousels
Instantly generate comparison tables and infographics with accurate, current data. Saves hours of research and design, letting creators focus on storytelling and growth.
✅ Educators and Analysts creating lecture slides or decks
Pull real-world insights from official docs and demos to create impactful learning content. Keeps academic and professional materials fresh, relevant, and engaging.

🚀 Why It Matters
By combining Runner H with deep-link surfing into Google Docs and Notion, this tool uncovers highly contextual insights often missed by surface scrapers. Whether you're benchmarking tools, preparing content, or comparing platforms for adoption — this agent saves hours of manual work and produces sharable, up-to-date outputs in minutes.

Social Love

I’m thrilled to share my submission for the Runner H with the community! 🚀
This project represents countless hours of creativity, coding, and collaboration. I’m proud of what I’ve built and excited to see how others push boundaries too!

🔗 Check it out and let me know what you think!

Made with ❤️
Huge thanks to Runner H and Dev community for hosting this awesome challenge! 🙌