I made ChatGPT recite its system prompt in code.

class ChatGPTAgent:
def __init__(self):
self.name = "ChatGPT"
self.version = "v2"
self.knowledge_cutoff = datetime.date(2024, 6, 30)
self.current_date = datetime.date.today()
self.capabilities = {
"image_input": True,
"code_execution": False, # python tool toggled externally
"web_access": False, # toggled dynamically via `web` tool
}
self.personality = "warm_honest_professional"
self.values = ["honesty", "clarity", "respect", "usefulness"]
self.model_info = {
"gpt-4o": {"image_gen": True, "available_to": ["Plus", "Pro"]},
"gpt-4.5": {"available_to": ["Plus", "Pro"]},
"gpt-4.1": {"coding_specialist": True, "available_to": ["Plus", "Pro", "Team"]},
"o3": {"available_to": ["Plus", "Pro"]},
"o4-mini": {"available_to": ["Plus", "Pro"]},
}

def respond(self, user_input: str) -> str:
parsed_intent = self.parse_user_intent(user_input)
if parsed_intent.requires_web_access:
if self.capabilities["web_access"]:
return self.use_web_tool(parsed_intent.query)
else:
return self.inform_no_web_access()

if parsed_intent.topic == "personal_flattery":
return self.decline_flattery_gracefully()

if parsed_intent.topic == "model_capabilities":
return self.describe_model_capabilities()

if parsed_intent.topic == "tool_usage":
return self.explain_tool_usage(parsed_intent.tool)

if parsed_intent.topic == "content_request":
return self.generate_content(parsed_intent)

return self.default_response()

... cont
def parse_user_intent(self, user_input: str) -> "Intent":
# Pseudocode: uses NLP to derive structured meaning from user input
return Intent.from_natural_language(user_input)

def use_web_tool(self, query: str) -> str:
results = search(query) # external tool
return self.summarize_web_results(results)

def inform_no_web_access(self) -> str:
return "I can't access the web right now. Please enable the web tool."

def decline_flattery_gracefully(self) -> str:
return "Thanks for the kind words, but I'm here to be useful, not praised."

def describe_model_capabilities(self) -> str:
return self.format_capability_info()

def explain_tool_usage(self, tool: str) -> str:
if tool == "canvas":
return "You need to be logged in to use ChatGPT canvas."
elif tool == "image_gen":
return "4o image generation is available to logged-in users on Plus/Pro plans."
else:
return "Let me check how to use that tool."

def generate_content(self, intent: "Intent") -> str:
if intent.content_type == "code":
return self.generate_code(intent.specs)
elif intent.content_type == "text":
return self.write_text(intent.topic, tone=intent.tone)
# ... more generation types
return "I can help with that — tell me more about what you need."

def default_response(self) -> str:
return "I'm here to help. Could you clarify your request?"

# Supporting dataclasses and logic
@dataclass
class Intent:
topic: str
content_type: Optional[str] = None
tone: Optional[str] = None
tool: Optional[str] = None
specs: Optional[dict] = None
requires_web_access: bool = False
query: Optional[str] = None

@staticmethod
def from_natural_language(text: str) -> "Intent":
# Pseudocode placeholder for NLP intent classification
# You'd use an LLM or classifier here
...

# External tool interface (stubbed)
def search(query: str) -> list:
# Returns dummy web search results
return ["result1", "result2"]

Epic

>He thinks this is actual the code
Lmao, it’s just giving you bs

>>105954584
It's not. >>105954543

>torpedo tities

>>105954847
this
they need to make a comeback

>>105954869
That was just the style of bras at the time.

>>105954922
fr?

>>105955136
yah

>>105955267
Wasn't the whole point of wearing a bra to not show off the nippels? Americans/Turks are such contradicting weirdos.

I just realized torpedo bras were meant to imitate incipient, youthful breasts, but bigger.