Define the agent’s goal
Identify the target users
Specify the tasks the agent must perform
Choose the input and output formats
Select the model or models to use
Decide on the agent architecture
Add memory if needed
Add tool access if needed
Design the prompt and system instructions
Build the reasoning and decision flow
Implement task planning
Implement tool invocation
Add error handling and retries
Add guardrails and safety checks
Connect data sources and APIs
Build the application interface
Log actions and outputs
Test with real and edge-case scenarios
Evaluate accuracy, latency, and cost
Improve prompts, tools, and workflows
Deploy the agent
Monitor performance in production
Update and maintain the agent