Types of AI agents available today

1. Generalist AI Agents

Handle broad tasks across multiple domains.

Example: OpenAI’s ChatGPT with Code Interpreter, Claude, Gemini.

Used for writing, coding, analysis, ideation.

2. Code Agents (Coding Assistants)

Specialize in writing, debugging, and deploying code.

Examples: GitHub Copilot X, Cursor AI, Replit AI, Codeium.

Popular with developers automating software engineering workflows.

3. Business Operations Agents

Focus on business tasks like scheduling, CRM updates, invoice processing.

Examples: Adept’s ACT-1, Inflection Pi (in productivity context).

Automate repetitive back-office workflows.

4. Research & Data Agents

Designed to summarize, synthesize, and extract insights from large data sets or documents.

Examples: Perplexity AI, Elicit, Consensus AI.

Used for academic research, market analysis, legal summaries.

5. Workflow/Automation Orchestration Agents

Link multiple tools, APIs, and apps to automate multi-step workflows.

Examples: AutoGPT, AgentGPT, SuperAGI, CrewAI.

Ideal for complex, autonomous task chains (e.g., scrape → analyze → report).

6. Creative Agents

Specialize in generating images, videos, music, or designs.

Examples: MidJourney, DALL·E 3, RunwayML Gen-3, Pika Labs.

Used by designers, marketers, creators.

7. Domain-Specific Agents

Custom-built agents for industries like healthcare, law, finance.

Examples: Harvey AI (legal), Hippocratic AI (healthcare), BloombergGPT (finance).

8. Action Agents (Embodied / Robotics)

Physical-world agents that act through robots or IoT.

Examples: Boston Dynamics Spot AI, Tesla Optimus AI prototype, robotic process automation bots with AI brains.