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Vapi 產品與 Agent 方法·· 4 小時前AI 評分28

Vapi Fleet Week 活動回顧

Fleet Week with Vapi - Recap

AI 導讀

Vapi於10月8日在三藩市灣包租遊艇,與30多名語音 AI 開發者交流並觀看 Blue Angels 練習。討論指出,GPT Live 的語音對語音方案省去傳統轉錄與合成,可降低延遲、令對話更流暢,但會犧牲對關鍵詞和腳本的細緻控制。企業團隊亦探討平台與自建語音技術堆疊的取捨,以及自然度、感知延遲和多供應商故障切換帶來的維護負擔。

正文

On October 8, over 30 voice AI builders joined the Vapi team on a chartered yacht in San Francisco Bay to connect and watch the Blue Angels practice for Fleet Week.

Our goal was simple: voice AI builders get invited to plenty of standard networking events and rarely go. A regular office workshop has to compete with so much noise. Watching jets from a boat on the Bay, however, who could say no?

The agenda featured fireside chats and talks hosted by Deepgram, Kouper Health, and Coval, followed by a hands-on technical workshop.

Hot Topic: Speech-to-Speech & GPT Live

GPT Live was easily one of the most discussed topics on board.

We spoke with a principal engineer at a major consumer marketplace who already deployed a live agent with it, an enterprise PM comparing it to their custom pipeline, and several others evaluating costs and ROI.

Key takeaway: skipping traditional transcription/synthesis cuts latency and creates super fluid turns, but you trade off granular control over key terms and scripting. Most teams are still figuring out which specific use cases benefit most from speech-to-speech vs classic pipelines.

Focusing on User Experience & Natural Flow

The question is no longer "Can voice AI converse?" - the focus has completely shifted to "How do we make it feel natural?"

Top UX themes discussed included: backchanneling (listening noises like "mhm" or "got it" to prevent dead air), perceived vs measured latency (an 800ms pause feels long unless filled naturally), and measuring naturalness (quantifying conversational quality beyond simple latency metrics).

We also saw huge interest in embedding voice natively inside web/mobile apps (like CRMs) rather than treating it as a standalone phone channel.

Even everyday use cases like appointment scheduling carry hidden complexity when callers change their mind mid-sentence.

Enterprise Trends: Platform vs. In-House

Many enterprise teams present had already built internal voice stacks. These led to incredible conversations, as teams with custom builds know exactly where maintenance overhead gets heavy and where things break.

Why choose a platform over direct model APIs? It comes down to reliability and future-proofing. Managing multi-provider failover and staying updated across STT, LLM, and TTS models is a massive maintenance headache to own long-term.

Pro Tip for Sales & GTM Teams: The most immediate entry point isn't always greenfield innovation; it's active contact center migrations with existing budgets and a strong appetite for modernization.

Key Takeaways & What's Next

The boat format worked remarkably well. Spending four hours together in a shared space sparked organic discussions on topics like interruption handling that rarely happen at standard conferences.

A big thank you to our co-hosts Deepgram and Coval, as well as everyone who joined us.

Most boat attendees will be joining us at VapiCon 2026 as well, taking place Nov 11-12 at Fort Mason. See the full agenda and get tickets here!

來源:Vapi 產品與 Agent 方法 · vapi.ai