Agents vs Simple LLM Apps
Understand the key differences between simple LLM applications and autonomous AI agents
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0 / 5 completedInteractive Demo
See the difference in action. Watch how an LLM and an Agent handle the same task side-by-side.
⚡Interactive Execution Comparison
Select a task and watch the execution unfold in real-time. Notice how the LLM provides a response, while the Agent autonomously takes actions.
What You Just Witnessed
📝 LLM: Single Response
- →Received input, generated output—done
- →No external actions, just text generation
- →Fast (sub-second) but limited in capability
- →User must manually execute any suggested actions
🤖 Agent: Autonomous Loop
- →Planned approach, selected tools, executed actions
- →Iterative reasoning based on observations
- →Slower (5-10 seconds) but completes the task
- →User can walk away—agent handles everything
💡Key Observations
- 1.Latency: LLM responded in <1 second. Agent took 5+ seconds (multiple LLM calls + tool execution).
- 2.Completeness: LLM gave advice. Agent delivered results (booked flight, found papers, fixed bug).
- 3.Transparency: Agent shows its reasoning process. You can see exactly what it's doing at each step.
- 4.Cost: Agent made 5-7 LLM calls per task vs. LLM's single call. 5-10x more expensive.