Automated Mobile Buying Research & Scheduling

#devchallenge #runnerhchallenge #ai #machinelearning

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

What I Built

I built an Automated Research and Insight Reporting workflow using Runner H that helps users find the best mobile devices available for purchase near their location. The system autonomously searches local and online retailers, gathers detailed specifications, prices, availability, and promotions, then summarizes and compares top options in a clear, concise report. Additionally, it recommends the optimal buying date based on market trends and automatically creates a calendar event to remind users when to make their purchase. This automation saves users hours of manual research and ensures they buy at the best time and place.

Demo

Screenshot of Runner H dashboard showing the workflow running
Generated Google Doc report with device comparisons and buying recommendations

You can also view the live Runner H prompt run here:

https://runner.hcompany.ai/chat/8a7f8a23-8ec7-48db-9a4a-546c865bb40e/share

How I Used Runner H

Runner H’s powerful multi-agent orchestration enabled me to:

Decompose the task into subtasks such as web scraping, data extraction, summarization, filtering by location, and calendar scheduling.
Integrate with external tools like Google Docs for report generation, Slack for notifications, and Google Calendar for scheduling purchase reminders.
Maintain context and memory across subtasks to ensure coherent, accurate summaries and consistent formatting.
Automate end-to-end execution so the entire research, reporting, and scheduling process happens autonomously on demand or on a recurring schedule.

To replicate this workflow:

Define your location and preferred mobile device brands or models in the prompt.
Connect your Google Docs, Slack, and Calendar accounts with Runner H.
Trigger the workflow manually or schedule it to run periodically.
Receive up-to-date, localized mobile buying reports with actionable calendar reminders.

Use Case & Impact

This solution is perfect for anyone looking to purchase a new mobile device without spending hours researching prices, specs, and deals. It benefits:

Consumers who want personalized, location-specific buying advice.
Tech enthusiasts tracking the best deals and newest models.
Retailers and sales teams who want to monitor competitor pricing and promotions locally.

By automating research, summarization, and scheduling, this workflow saves time, reduces decision fatigue, and helps users buy smarter and at the right time, maximizing savings and convenience.

Full Runner H Prompt for Automated Mobile Buying Research & Scheduling

1. Search the internet, local retailer websites, and online marketplaces for the latest mobile devices available for purchase near my location: [INSERT LOCATION].

2. Prioritize reputable sources such as Amazon, Best Buy, Walmart, local carrier stores (e.g., Verizon, AT&T), and popular price comparison sites.

3. Extract key details for each mobile device including: model name, specifications (camera, battery, processor, storage), price, availability, and any ongoing promotions or discounts.

4. Filter results to show devices available within a reasonable distance (e.g., 10-20 miles) or with local store pickup options.

5. Summarize and compare the top 5-10 mobile devices based on features, price, and user ratings.

6. Organize the findings into a clear, concise report with sections such as:
   - Best Value Phones
   - Latest Models
   - Budget Options
   - Special Deals Near You

7. Format the report as a Google Doc or Markdown file, including links to purchase pages.

8. Save the report to Google Drive (or Notion) and notify me via Slack or email with the report link.

9. Recommend the optimal buying date based on:
   - Upcoming new model release dates
   - Major sales events (Black Friday, Cyber Monday, Prime Day, Boxing Day)
   - Typical discount windows and pre-order periods

10. Automatically create a calendar event titled "Buy [Mobile Device Model]" on the recommended purchase date or within the best buying window, including:
    - Device model and key features
    - Estimated price or discount info
    - Links to preferred retailers
    - Reminder notification 1-2 days before the event

11. Schedule this workflow to run weekly or monthly to keep the report and calendar event updated.

Thank you to the Runner H team for this exciting challenge! I look forward to seeing how the community innovates with AI agents.

Top comments (1)

Abu Taher Siddik • Jun 16