
Agent vs Workflow - Which Should You Choose? (Part 2/2)
Choosing wrong has a real cost. Agents when you don't need them = higher spend, slower responses, unpredictable debugging. Workflows when you need an agent = brittle systems that break on edge cases.
Run through these 4 questions before you build anything:
→ Can I define all possible paths in advance? → Workflow
→ Does the LLM need to decide what to do next? → Agent
→ Is this a well-defined, repeatable task? → Workflow
→ Does cost need to be strictly controlled? → Workflow (or add guardrails)
The best systems often combine both. Start simple. Add complexity only when you need it.
? Full breakdown: https://www.youtube.com/watch?v=MZhjki7t6p8
#AIAgents #LLMWorkflow #AIAutomation #GenerativeAI #AIEngineering #LLM #AgenticAI #AIForDevelopers #MachineLearning #AIArchitecture #WorkflowAutomation #PromptEngineering #AIChecklist #AITools #MLOps #TechShorts #AIDecisionFramework #ArtificialIntelligence #KodeKloud #LearnAI
Run through these 4 questions before you build anything:
→ Can I define all possible paths in advance? → Workflow
→ Does the LLM need to decide what to do next? → Agent
→ Is this a well-defined, repeatable task? → Workflow
→ Does cost need to be strictly controlled? → Workflow (or add guardrails)
The best systems often combine both. Start simple. Add complexity only when you need it.
? Full breakdown: https://www.youtube.com/watch?v=MZhjki7t6p8
#AIAgents #LLMWorkflow #AIAutomation #GenerativeAI #AIEngineering #LLM #AgenticAI #AIForDevelopers #MachineLearning #AIArchitecture #WorkflowAutomation #PromptEngineering #AIChecklist #AITools #MLOps #TechShorts #AIDecisionFramework #ArtificialIntelligence #KodeKloud #LearnAI
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