OpenAI Operator (2/2) Processing Financial Transcripts with SaaS Automation, Security Concerns

Table of Contents
0:00 My first task was too simplistic
0:37 Aaron Levie Tweet, using cloud software
1:31 A more complex task and prompt
2:25 Transcript Fetching, NotebookLM Usage, Google Drive Usage, Tweet Thread
3:16 Demonstration of Operator Session
5:02 Operator scrapes Seeking Alpha
5:36 Operator creates an organizational folder structure
6:42 Skipping permission checks
8:01 Operator using Google Drive
8:50 Operator searches for HTML to PDF converter
9:31 Security risks of Operator using search engine to find tools
10:40 Operator finds NotebookLM and uses it to extract insights, creates a podcast
11:40 Even though there's no NotebookLM API, we can automate it!
12:15 Operator creates a Google Doc
13:05 Operator creates a share link I didn't ask it to!
13:54 Operator creates a twitter thread with Alphabet earnings insights
16:17 Effects on advertising business? Can ads hijack Operator attention?
17:00 I've seen Operator get distracted and do something random
17:48 Can I just walk away and trust the agent did everything I asked?
18:10 Reflections, notes, thoughts on Operator, predictions
18:42 No code needed!
20:58 No API needed! Just let Operator use the app!
22:07 Teaching AI to use software via video?
23:18 Dedicated accounts for AI agents?
23:50 Iterative agent management, checking in on your agent's progress
24:49 Future integration with Scheduled Tasks feature?
25:53 App User Experience for agent users?
26:19 Security risks, whitelisting websites, organization policies
27:30 Github / version control for Operator tasks / recipes?
28:47 The diminishing value of writing code by hand
29:23 Operator Mobile App?
30:28 You may not use Operator, but Operator will use you!
31:07 More business use cases, less travel agents please!
32:05 Think in terms of chaining SaaS apps
32:26 Wrapping Up - I feel like I have a better understanding of agents now