The next frontier isn't chatbots—it's agents that take action.
What Makes an Agent?
Unlike chatbots, agents:
- Plan: Break down complex tasks into steps
- Execute: Use tools, APIs, and browsers
- Adapt: Handle errors and unexpected situations
- Learn: Improve over time
The Contenders
Devin (Cognition)
The "AI software engineer" that made headlines. It can clone repos, write code, run tests, and deploy. The reality? Impressive but not ready for production.
AutoGPT
The open-source pioneer. Run it locally, give it a goal, and watch it work. Unpredictable but fascinating.
Claude Computer Use
Anthropic's controversial move: let Claude control your computer. Surprisingly capable for research tasks.
OpenAI GPTs with Actions
Custom GPTs that call APIs. Limited but reliable. Good for specific, well-defined workflows.
Comparison
| Agent | Reliability | Power | Ease of Use |
|---|---|---|---|
| Devin | Medium | High | Low |
| AutoGPT | Low | High | Low |
| Claude CU | Medium | Medium | Medium |
| GPT Actions | High | Low | High |
Verdict
For developers: Devin (with supervision)
For research: Claude Computer Use
For business: GPT Actions
Agents are still early. Expect failures. But the potential is undeniable.