Summary
A hands-on build night for voice agents (ElevenLabs + Tavily): ship an agent loop, talk through the rough edges, and compare the tooling patterns that make token-heavy voice workflows usable.
Why it matters
Voice agents are a fast path to sustained token spend: multi-step loops plus speech and retrieval quickly add up. Practitioner build nights are where teams learn the guardrails—latency budgets, fallbacks, and evaluation—before scaling usage.
Tokenmaxxing angle
Tokenmaxxing for voice is measured per conversation, not per prompt. The win is fewer retries and tighter loops: streaming, caching, scoped tool calls, and budgets that cap runaway agent behavior.
Source takeaway
Use it to collect practical patterns for production voice agents: orchestration primitives, observability hooks, and the tactics that keep real-time UX from turning into real-time spend.