Evolution of AI Agents
Explore the journey from basic chatbots to sophisticated autonomous agent systems
Your Progress
0 / 5 completedInteractive Demo
See how agent capabilities have grown year by year. Compare costs, speeds, reliability, and complexity across different eras.
Agent Capability Evolution: Year-by-Year Comparison
Overall Capability Score
20/100
Very Limited
Tool Use0/10
No tool integration
Autonomy1/10
Manual orchestration only
Reasoning3/10
Basic few-shot prompting
Memory1/10
2K token context
Reliability2/10
Unpredictable outputs
Cost per Request
$0.06 / 1K tokens
Typical Speed
1-2s response
Example Uses
Text generation, simple Q&A
Metric Comparison: Then vs Now
2020: GPT-3 Launch
- • Text generation only
- • No tool use
- • 2K-4K token limit
- • Manual orchestration
- • Score: 20/100
2025: Modern Agents
- • Multi-modal (text, code, vision)
- • 100+ integrated tools
- • Infinite context (RAG)
- • Autonomous with guardrails
- • Score: 95/100
⬆️ 375% improvement
📈Key Trends
- →Exponential capability growth: 5x improvement in 5 years
- →Cost deflation: 97% cheaper while being 10x more capable
- →Speed optimization: 2-3x faster despite more complex operations
- →Reliability plateau: 95% seems to be practical ceiling (last 5% extremely hard)