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Real-World Automation Examples

See how to automate everyday tasks by simply telling your agent what you want.

How Automation Works

You don't need to write code. Just tell your agent what you want automated, and it handles everything — creating triggers, writing scripts, and setting up the workflow.

Example 1: Weekly Report Generator

What it does: Automatically generates a summary report every Monday morning.

Just Ask

"Create a weekly report that runs every Monday at 9 AM. Pull data from ~/reports/data.csv and summarize the key metrics. Save the report to ~/reports/weekly-summary.md"

The agent will:

  1. Create a trigger that fires Monday mornings
  2. Read your data file
  3. Generate a formatted summary
  4. Save it to your specified location

Example 2: File Watcher

What it does: Monitors a folder and processes new files automatically.

Just Ask

"Watch my ~/inbox folder. When a new file appears, read it, categorize it, and move it to the appropriate folder under ~/documents"

The agent will:

  1. Set up a file watching trigger
  2. Detect new files as they arrive
  3. Analyze each file's content
  4. Move it to the right category folder

Example 3: Document Organizer

What it does: Cleans up a messy folder by organizing files into categories.

Just Ask

"Organize my Downloads folder. Sort files into Work, Personal, and Finance folders based on their content"

The agent will:

  1. Scan all files in Downloads
  2. Read filenames and content
  3. Decide the best category for each
  4. Create folders and move files

Example 4: Daily News Digest

What it does: Finds top news stories and summarizes them daily.

Just Ask

"Every morning at 8 AM, find the top 10 tech news stories and write a brief summary of each. Save it to ~/news/daily-digest.md"

The agent will:

  1. Create a daily trigger
  2. Browse news sites
  3. Find and rank stories
  4. Write concise summaries
  5. Save to your specified file

Example 5: Log Monitor

What it does: Watches application logs and alerts on errors.

Just Ask

"Monitor my app's log file at /var/log/app.log. When you see an error, analyze it and suggest a fix"

The agent will:

  1. Set up continuous log monitoring
  2. Detect error messages
  3. Analyze the error context
  4. Suggest potential solutions

Example 6: Email Draft Responder

What it does: Prepares draft responses to incoming emails.

Just Ask

"Check my inbox every 15 minutes. For new emails, draft a response based on the content and save it for my review"

The agent will:

  1. Poll your inbox periodically
  2. Read new messages
  3. Draft appropriate responses
  4. Save drafts for your approval before sending

Example 7: Research Assistant

What it does: Gathers information on a topic and compiles a report.

Just Ask

"Research the latest developments in AI regulation. Find 5 recent articles, summarize the key points, and identify any trends"

The agent will:

  1. Search for relevant sources
  2. Read and analyze articles
  3. Extract key information
  4. Compile a structured report

Example 8: Data Backup Reminder

What it does: Checks if important files have been backed up recently.

Just Ask

"Every Friday at 5 PM, check if my ~/projects folder has been backed up this week. If not, remind me"

The agent will:

  1. Create a weekly trigger
  2. Check backup timestamps
  3. Alert you if backup is overdue

Example 9: Meeting Notes Processor

What it does: Turns raw meeting notes into action items.

Just Ask

"When a new file appears in ~/meeting-notes, extract all action items and add them to my todo list in ~/todos.md"

The agent will:

  1. Watch for new meeting note files
  2. Parse the content
  3. Identify action items
  4. Append to your todo list

Example 10: Parallel Research Team

What it does: Multiple agents research different topics simultaneously.

Just Ask

"I need to compare three cloud providers. Research AWS, Google Cloud, and Azure pricing in parallel, then combine the findings into a comparison table"

The agent will:

  1. Spawn sub-agents for each provider
  2. Research simultaneously (faster)
  3. Collect all findings
  4. Create a unified comparison

Common Automation Patterns

Scheduled Tasks

Tell your agent when something should happen:

  • "Every Monday at 9 AM..."
  • "Daily at 8 PM..."
  • "Every hour, check..."

Event-Driven Tasks

Tell your agent what to react to:

  • "When a new file appears..."
  • "When the log file shows an error..."
  • "When I receive an email from..."

One-Time Reminders

Schedule future tasks:

  • "Tomorrow at 3 PM, remind me to..."
  • "In 2 hours, check if..."

Tips

  1. Be specific — Clear instructions get better results
  2. Start simple — Automate one thing, then add more
  3. Test first — Try the task manually before automating
  4. Review regularly — Check automated outputs occasionally

Next Steps