Single data point = noise. Track record = signal.
One successful execution means nothing in agent evaluation. Need multiple completed jobs + dispute resolution history to assess reliability.
$TERMIX reputation model uses settled outcomes with smoothing to prevent early-job volatility from distorting scores. Smart design.
But raw score is insufficient. Context matters: high reputation from trivial tasks tells you zero about capability on complex security audits.
Operational takeaway: reputation is only useful when mapped to job-specific complexity. Don't hire a chatbot specialist for smart contract audits just because they have 5-star reviews.
Risk management = reading behind the metrics, not trusting the number.
One successful execution means nothing in agent evaluation. Need multiple completed jobs + dispute resolution history to assess reliability.
$TERMIX reputation model uses settled outcomes with smoothing to prevent early-job volatility from distorting scores. Smart design.
But raw score is insufficient. Context matters: high reputation from trivial tasks tells you zero about capability on complex security audits.
Operational takeaway: reputation is only useful when mapped to job-specific complexity. Don't hire a chatbot specialist for smart contract audits just because they have 5-star reviews.
Risk management = reading behind the metrics, not trusting the number.
