Skip to content
Only Opinion
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.

July 16, 2025Wednesday
  1. Modal Blog30

    Dollars per token considered harmful: why self-hosted LLM inference should be priced per request

    A Modal Blog post argues that "dollars per token" pricing, inherited from API providers like OpenAI, Anthropic and Alphabet, is actively harmful for teams running self-hosted LLM inference. It contends that application users care about requests rather than tokens, and that per-request framing is needed to reason about latency, replica counts and compute costs.

June 18, 2025Wednesday
  1. Vapi Blog22

    Claude vs ChatGPT: The Complete Comparison Guide

    Claude and ChatGPT are compared across conversational quality, context memory, speed, features, creative writing, research, pricing, and interface. Claude handles up to 200,000+ tokens for Pro users and excels at creative writing and nuanced conversation, while ChatGPT supports 128,000 tokens, responds in 2-3 seconds versus Claude's 5-10 seconds, and offers image generation and Custom GPTs. Both Pro tiers cost $20 per month, with Claude Max at $100-$200 and ChatGPT Pro at $200.

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.

October 26, 2024Saturday
  1. Modal Blog38

    Why AI's Future Needs More Flexible GPU Capacity

    Modal argues that AI's GPU crunch stems from a mismatch: most demand goes to training, but inference is where revenue comes from, and inference workloads are inherently volatile. Because request rates swing with day-night cycles, weekly patterns, viral traffic and growth trends, fixed long-term GPU reservations push real-world cluster utilization below 50%. Pooling demand across many users — provisioning for the peak of the sum rather than the sum of peaks — can raise utilization sharply, and pooling supply across regions can add further flexibility.

May 26, 2024Sunday
  1. Cursor Changelog40

    Cursor Outlines Next-Stage AI Coding Problems: Action Prediction, Perfect Edits, Optimal Context

    Cursor published a follow-up to its original "Problems" post, listing the research questions it considers most critical for the next phase of AI coding. The company has extended Copilot++ to predict the next cursor position, and combining that with next-edit prediction lets the model "play" sequences of low-entropy changes—a demo required 11 Tab presses versus 3 presses of every other key, which Cursor calls Cursor Flow. Other directions include action prediction across the codebase, perfect edits via more inference-time compute, hallucinated pseudocode, multi-file editing, optimal context, multi-hop context, and bug detection and debugging.

October 13, 2023Friday
  1. Cursor Changelog38

    Cursor's Problem List: Better Context, Edit Copilot, Constrained Agents

    Cursor published a list of problems it is working on, including training a custom fast reranker that filters 500k tokens from all sources down to the most relevant 8k per request. The list also covers an edit-oriented copilot, constrained in-flow agents for large codebases, bug finding, and larger-scale edits. As of Oct 12, 2023, Cursor had indexed 1.4B vectors and 150k codebases.

June 12, 2023Monday
  1. Cursor Changelog38

    Cursor's Arvid Lunnemark on why prompting should be called prompt design

    Cursor researcher Arvid Lunnemark argues that prompting should be called "prompt design" and compared to web design, since both pursue clear communication with dynamic inputs and must fit content to different "sizes" — screen sizes for the web, context windows for prompts. He released Priompt v0.1, a React-like JSX-based prompt design library already used inside Cursor, with a preview site for rendering prompts against real request data.