def analyze_impact(content: str) -> float:
    """
    Simulates an AI Agent analyzing the impact of a signal.
    In a real system, this would call an LLM (GPT-4/DeepSeek).
    """
    content_lower = content.lower()
    
    # Heuristic Rule-based Scoring (Simulation)
    score = 0.3 # Base score
    
    high_impact_keywords = ["release", "announce", "sota", "benchmark", "breakthrough", "deepseek", "gpt-5"]
    medium_impact_keywords = ["update", "feature", "paper", "research", "tool"]
    
    for k in high_impact_keywords:
        if k in content_lower:
            score += 0.3
            
    for k in medium_impact_keywords:
        if k in content_lower:
            score += 0.1
            
    # Cap at 0.99
    return min(score, 0.99)