Inference engineers seeking to reduce P50 and P95 time-to-first-token latency for large model deployments want to evaluate whether speculative decoding with a draft model is viable for their specific workload — but the performance gains are highly dependent on output token distribution, draft model quality, and serving infrastructure compatibility. This agent runs a feasibility analysis and produces an implementation plan.