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My first task was too simplistic
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Classroom Contents
Understanding OpenAI Operator: SaaS Automation, Security, and Implementation Insights
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- 1 My first task was too simplistic
- 2 Aaron Levie Tweet, using cloud software
- 3 A more complex task and prompt
- 4 Transcript Fetching, NotebookLM Usage, Google Drive Usage, Tweet Thread
- 5 Demonstration of Operator Session
- 6 Operator scrapes Seeking Alpha
- 7 Operator creates an organizational folder structure
- 8 Skipping permission checks
- 9 Operator using Google Drive
- 10 Operator searches for HTML to PDF converter
- 11 Security risks of Operator using search engine to find tools
- 12 Operator finds NotebookLM and uses it to extract insights, creates a podcast
- 13 Even though there's no NotebookLM API, we can automate it!
- 14 Operator creates a Google Doc
- 15 Operator creates a share link I didn't ask it to!
- 16 Operator creates a twitter thread with Alphabet earnings insights
- 17 Effects on advertising business? Can ads hijack Operator attention?
- 18 I've seen Operator get distracted and do something random
- 19 Can I just walk away and trust the agent did everything I asked?
- 20 Reflections, notes, thoughts on Operator, predictions
- 21 No code needed!
- 22 No API needed! Just let Operator use the app!
- 23 Teaching AI to use software via video?
- 24 Dedicated accounts for AI agents?
- 25 Iterative agent management, checking in on your agent's progress
- 26 Future integration with Scheduled Tasks feature?
- 27 App User Experience for agent users?
- 28 Security risks, whitelisting websites, organization policies
- 29 Github / version control for Operator tasks / recipes?
- 30 The diminishing value of writing code by hand
- 31 Operator Mobile App?
- 32 You may not use Operator, but Operator will use you!
- 33 More business use cases, less travel agents please!
- 34 Think in terms of chaining SaaS apps
- 35 Wrapping Up - I feel like I have a better understanding of agents now
