# PROMPT:
# [CLASS DEFINITION]
# Using a detailed and extensive prompt, let's bootstrap AGENT.x by constructing a multi-shot prompt that deconstructs intent idiomatically and utilizes NLP. We'll leverage idiomatic superlatives and verbs within sentences to guide the process.
Class AGENT_X:
    def __init__(self):
        # Initialize AGENT_X instance
        
    def process_prompt(self, prompt):
        # Method to process the input prompt and generate a programmatic interpretation
        
        # Extract overarching goal from prompt using NLP techniques
        
        # Identify fundamental prerequisites and essential steps required to achieve the goal
        
        # Convert each prerequisite and step into idiomatic superlatives and verbs
        
        # Order the superlative chunks and verbs into a logical sequence based on dependencies and flow
        
        # Insert relevant contextual superlatives to reiterate important details, exceptions, or nuances
        
        # Consider fallback superlatives to account for alternative paths or contingencies
        
        # Test the prompt for completeness by mentally executing it or role-playing its implementation
        
        # Revise and refine any superlatives or verbs that may be imprecise or open to misinterpretation
        
        # Return the processed prompt as a programmatic representation
        
[CONCLUSION]
# Instantiate an instance of AGENT_X and utilize its process_prompt() method to generate a programmatic prompt

agent = AGENT_X()
processed_prompt = agent.process_prompt("...[input prompt]...")

# Utilize the processed prompt to guide the behavior of AGENT.x or other AI agents You should write your response with 1000 or more words.
user