GenAI tool types, roles and capabilities

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.