Types of AI agents available today
1. Generalist AI Agents
AI agents designed to handle a wide range of tasks across multiple domains.
• Used for writing, coding, analysis, ideation, and problem-solving
• Adaptable across technical and non-technical use cases
Examples
• OpenAI ChatGPT (with Code Interpreter)
• Claude
• Gemini
2. Code Agents (Coding Assistants)
AI agents specialized in software development tasks.
• Write, debug, refactor, and deploy code
• Automate repetitive software engineering workflows
Examples
• GitHub Copilot X
• Cursor AI
• Replit AI
• Codeium
3. Business Operations Agents
AI agents focused on operational and administrative business tasks.
• Automate scheduling, CRM updates, invoicing, and reporting
• Reduce manual back-office workload
Examples
• Adept ACT-1
• Inflection Pi (productivity-focused use cases)
4. Research and Data Agents
AI agents built to extract, summarize, and synthesize insights from large datasets and documents.
• Perform academic research and market analysis
• Generate structured insights from unstructured data
Examples
• Perplexity AI
• Elicit
• Consensus AI
5. Workflow and Automation Orchestration Agents
AI agents that connect multiple tools, APIs, and applications into automated workflows.
• Execute multi-step autonomous task chains
• Ideal for complex processes such as data scraping, analysis, and reporting
Examples
• AutoGPT
• AgentGPT
• SuperAGI
• CrewAI
6. Creative Agents
AI agents specialized in creative content generation.
• Generate images, videos, music, and designs
• Widely used by designers, marketers, and content creators
Examples
• MidJourney
• DALL·E 3
• RunwayML Gen-3
• Pika Labs
7. Domain-Specific Agents
Custom-built AI agents designed for specific industries.
• Tailored to regulatory, technical, and domain-specific requirements
• Deliver higher accuracy within specialized fields
Examples
• Harvey AI (legal)
• Hippocratic AI (healthcare)
• BloombergGPT (finance)
8. Action Agents (Embodied or Robotics)
AI agents that operate in the physical world through hardware or connected systems.
• Interact with physical environments via robots or IoT
• Combine perception, decision-making, and action
Examples
• Boston Dynamics Spot AI
• Tesla Optimus AI prototype
• Robotic process automation bots enhanced with AI