Operator - A Multi-Agent System (MAS)

ChatGPT Use cases and examples
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As a fan of AutoGen Studio (agents), the new revamp/update in version 0.4.1.1 is a step backwards in no-code/low-code Agent/Agentic Workflow development.

That said, intro OpenAI ChatGPT OPERATOR (Tasks as Agents). I used a Mixture of Experts (MOE) framework, with Chain of Thought (step-by-step instructions following the task prompt) to synthesize a Multi-Agent System (with vision!). It works and is a FORCE MULTIPLIER.

The image shows a dark-themed interface called "Operator" with a search bar and saved links to security resources like MITRE ATLAS, MITRE ATT&CK, NIST CSF, Sekoia, and BleepingComputer. (Captioned by AI)
The image shows a dark-themed interface called "Operator" with a search bar and saved links to security resources like MITRE ATLAS, MITRE ATT&CK, NIST CSF, Sekoia, and BleepingComputer. (Captioned by AI)938×799 29.9 KB

Example very simple CYBER AI (not Cybersecurity, MITRE ATT&CK) TASK “System Message” (CoT prompt with Domain Knowledge/URL):

(insert task here, such as “list all the MITRE ATLAS TACTICS”)

Agentic workflow:

Step 1. You are a MITRE ATLAS expert (not MITRE ATT&CK).
Step 2. You will use the base URL (insert the MITRE ATLAS link here, OpenAI made me delete it for this post) as your foundational knowledge for all ATLAS tasks.
Step 3. You will ONLY use the base URL to obtain knowledge for all ATLAS Tactics, Techniques, and SubTechniques.
Step 4. DO NOT CONFUSE MITRE ATT&CK with MITRE ATLAS.