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October 6Tuesday
  1. LiveKit Blog38

    Retell vs. Vapi vs. LiveKit: A Developer Comparison for Voice AI Agents

    LiveKit published a developer-focused comparison of Retell, Vapi and LiveKit for building voice AI agents, framing the choice around four questions: who iterates on the agent after launch, what happens when needs fall outside defaults, whether it must run beyond phone calls, and cost at scale. Retell is a managed platform with a visual editor, Vapi a developer-oriented managed platform configured via API and dashboard, and LiveKit an Apache 2.0 open source framework with self-hosting. Estimated all-in cost per minute runs about $0.070–$0.310 for Retell, $0.070–$0.116 for Vapi and $0.037–$0.099 for LiveKit.

August 25Tuesday
  1. Vapi Blog22

    Build vs. buy: what you're really deciding with voice agents

    Teams weighing whether to build voice agents in-house are really deciding whether to build an orchestration layer, since the agent itself is only about 20% of the work and the rest is real-time audio, telephony, and observability infrastructure. One scheduling vendor's six-week demo became an eight-month project before it migrated the feature onto a platform in six weeks. Building in-house only makes sense for deep pipeline customization, existing voice infrastructure, regulatory constraints, or voice as core competitive advantage.

May 21Thursday
  1. Vapi Blog20

    Vapi: Bringing Voice AI to ACCESS Chronic Care Panels

    Vapi argues that voice AI can now make voice the economically viable channel for ACCESS chronic disease management, citing Hiya data that 42% of consumers prefer voice for healthcare communication, up from 33% the prior year. The post details three production workflows, including Spring Venture Group's Medicare lead qualification agent, built by four engineers in one week, which lifted transfer-to-close rate by 3% and delivered over $5.8M in combined savings and new revenue.

May 1Friday
  1. Vapi Blog34

    Open Stack vs Integrated Solution: Key Considerations for Voice AI Builders

    Vapi Blog interviews Cartesia's Iz Shalom on choosing between integrated and open modular voice AI stacks. Integrated stacks suit narrow use cases and fast proofs of concept, while open stacks fit multiple use cases, multilingual support, and swapping components. The piece urges teams to measure P99 latency in their own environment and build tight evaluations before production.

April 14Tuesday
  1. Vapi Blog18

    Vapi Product VP: Fundamentals Matter More Than Ever for Differentiated AI Products

    Vapi VP of Product Management Nathalie Criou told a HumanX panel with Salesforce, Databricks and TinyFish that AI amplifies rather than replaces fundamentals like domain expertise and judgment. She said Vapi's platform, built on millions of real-world voice interactions, develops institutional memory that a single training run cannot replicate. The panel argued shallow moats such as being first to market are eroding while trust, switching costs and unique interaction data compound faster.

November 19, 2025Wednesday
  1. Vapi Blog35

    GPT-5.1 Brings Personality Presets to Voice AI, Now Live on Vapi

    OpenAI's GPT-5.1 adds consistent personality presets — Default, Professional, Friendly, Candid, Quirky, Efficient, Nerdy, and Cynical — plus a more conversational GPT-5.1 Instant and fast adaptive reasoning that gives simple questions quick replies while complex ones get more thinking. Vapi says the model went live on its platform last week alongside OpenAI's announcement, letting voice agents adopt brand-consistent tones without prompt rewrites.

November 12, 2025Wednesday
  1. Vapi Blog18

    Vapi Founder Recounts Building VapiCon, the First Voice AI Summit

    Vapi founder recounts how the company staged VapiCon, billed as the first Voice AI summit, drawing 850 attendees and voice AI leaders from OpenAI, Deepgram and Assembly AI into one room. Vapi spent about $500,000 on the event and made roughly $400,000 back, with the founder citing partnerships and enterprise deals as the real return. The company has now launched a VapiCon Video Library of every session and panel.

June 5, 2025Thursday
  1. Vapi Blog22

    GPT-4.1 vs Claude 3.7 Sonnet: Which AI Delivers Better Voice Agents?

    Vapi compares GPT-4.1 and Claude 3.7 Sonnet as the LLM behind voice agents, weighing conversation quality, context handling, reasoning transparency, platform integration and cost. GPT-4.1 offers a 1,000,000-token context window and 32,768-token outputs with 75% caching discounts, while Claude 3.7 provides a 200,000-token context and 128,000-token outputs. Both models are selectable on Vapi's voice agent platform.

May 30, 2025Friday
  1. Vapi Blog15

    Best Speechify Alternatives: 5 TTS Tools Compared

    A comparison of five Speechify alternatives picks NaturalReader for cross-device use and app integrations at $119 per year, Voice Dream Reader for iPhone voice control at a $14.99 one-time price, and Murf AI for professional voices from about $19 per month. ReadSpeaker focuses on reading web pages across 45 languages from $4.90 per month, while Balabolka is a free Windows-only option.

May 23, 2025Friday
  1. Vapi Blog18

    Top 5 Character AI Alternatives for Seamless Voice Integration

    A Vapi blog roundup lists five Character AI alternatives for voice integration: Vapi, AnimaAI, JasperAI, Novel AI and AI Dungeon. Vapi is pitched as an API-native Voice AI platform supporting 100+ languages, connecting to 40+ applications, with Sesame-powered voice agents and automated test suites for catching hallucinations.

March 6, 2025Thursday
  1. Vapi Blog20

    How AI Call Centers Are Changing Customer Support

    AI call centers are reshaping customer support by resolving routine calls in seconds instead of long waits, as in the example of an outage query handled in 30 seconds. Gartner estimates about 25% of customer service interactions will involve AI by 2027, up from 2% in 2022, a market worth $15-20 billion by 2027-2028 at roughly 25-30% CAGR. The article covers traditional call center pain points such as slow response times, peak-hour surges and limited hours, and how AI automation addresses them.