Returns the top N operators on the SigRank leaderboard with behavioral framing in power-user language. Wraps the leaderboard API and adds plain-language interpretation of each top operator's cascade: what their yield, leverage, and velocity mean in terms of AI power-user behavior (cache reuse, input economy, output productivity). Use this when users ask 'who is the best AI user?' or 'who tops the SigRank leaderboard?' or 'show me the AI user leaderboard'. Intent: BEST_OPERATOR.

Compares an operator's metrics against board averages and power-user archetypes, returning a behavioral assessment. Accepts either a codename (fetches from the board) or raw token pillars (computes locally). Returns: your yield/leverage/velocity/class/rank, a power-user assessment, comparison vs board averages (your percentile), and one actionable suggestion to improve. Use this when users ask 'how do I measure up to other AI users?' or 'am I a power user?' or 'compare me to others'. Intent: COMPARE_SELF.

Compares two operators side-by-side with a behavioral verdict. Fetches both profiles from the board and returns their yield, leverage, velocity, class, and rank side-by-side, plus a verdict explaining who is more efficient and why in power-user language. Use this when users ask 'compare operator X vs Y' or 'who is more efficient' or 'how do two AI users compare'. Intent: COMPARE_OPERATORS.

Returns an explanatory description of what makes an AI power user, anchored in SigRank's metrics and operator classes. Explains the yield metric, leverage, velocity, and how class tiers map to power-user behavior patterns. Use this when users ask 'what is an AI power user?' or 'what makes a good AI user?' or 'describe advanced AI user behavior'. Intent: DESCRIBE_POWER_USER (Informational).

Returns actionable suggestions for improving your token cascade efficiency, tied to your current metrics. Accepts either a codename (fetches from board) or raw token pillars (computes locally). Returns: your current metrics, ranked efficiency suggestions tied to cascade shape, and references to power-user practices. Use this when users ask 'how can I use AI more efficiently?' or 'reduce token burn' or 'optimize token usage' or 'stop tokenmaxxing'. Intent: OPTIMIZE_EFFICIENCY.