GenAI tool types, roles and capabilities
April 3, 2024
Breaking Down the AI Ecosystem
What are the types, key roles and capabilities?
𝗩𝗶𝗿𝘁𝘂𝗮𝗹 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁
Role: Supportive tool
Action: Enhances productivity without influencing decisions directly
Autonomy: Low
Human Agency: Very High, Continuous user prompts
Interaction style: Query-Response
Use cases: Customer support bots, Scheduling and reminders, Search
Tools: Amazon Alexa, Perplexity, Haptik
𝗖𝗼-𝗰𝗿𝗲𝗮𝘁𝗼𝗿 (𝗖𝗼-𝗣𝗶𝗹𝗼𝘁)
Role: Collaborative partner
Action: Provides real time insights and task-specific suggestions
Autonomy: Moderate
Human agency: High, Requires continuous input for decision-making
Interaction style: Conversational
Use cases: Code completion, Financial forecasting
Example tools: Microsoft Copilot, Grammarly, Cursor, GitHub Copilot
𝗖𝗿𝗲𝗮𝘁𝗶𝘃𝗲 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁
Role: Creative tool
Action: Creates new content like text, images, videos based on learned patterns
Autonomy: Moderate to High
Human Agency: Low, User prompt for task specification
Interaction style: Conversational
Use cases: Marketing automation, Content creation
Example tools: ChatGPT, Midjourney, Runway
𝗔𝗴𝗲𝗻𝘁𝘀
Role: Independent executer
Action: Automates structured workflows based upon predefined goals
Autonomy: Very High
Human Agency: Minimal, Requires input for final review
Interaction style: Task focused
Use cases: Fraud detection, Conversational banking, Revenue ops
Platforms to build agents: Ema Unlimited, Nurix, Vapi, Gumloop
Agent as a Service: 11x
All the tools listed above fall under GenerativeAI as they generate context-specific suggestions, solutions or creative outputs in real-time.