A comprehensive framework for building AI agents from concept to production, covering six key steps: defining realistic tasks with concrete examples, creating standard operating procedures, building an MVP with focused prompts, connecting to real data sources, testing and iteration, and deployment with continuous refinement. The guide emphasizes starting small with well-scoped problems, focusing on core LLM reasoning tasks first, and treating deployment as the beginning of iteration rather than the end of development.
Table of contents
Step 1: Define your agent’s job with examplesStep 2: Design operating procedureStep 3: Build MVP with promptStep 4: Connect & OrchestrateStep 5: Test & IterateStep 6: Deploy, Scale, and RefineConclusionSort: