If you've been wanting to add voice AI to your project but can't decide which provider to use... I felt the same way. So I built something using my own 'Apex Spec System' (https://github.com/moshehbenavraham/apex-spec-system). It's called Voice Agent PuPuPlatter. (Yes, like the appetizer sampler at a Chinese restaurant.) One app. Seven voice AI providers. All in one tabbed interface. Here's what's included: → ElevenLabs (Widget + SDK modes) → OpenAI Realtime API → xAI Grok → Ultravox → Vapi → Retell You can switch between them instantly and compare the experience yourself. Each provider has: • Real-time transcripts • Audio visualization • Function calling demos • Automatic reconnection The UI is modern glassmorphism design. Works on mobile. Fully accessible. If interested, I also recorded a video tutorial series showing exactly how to set up your own ElevenLabs agent from scratch (links in the Repo). 5 videos. Step by step. Tech stack if you're curious: React 19 + TypeScript + Vite + Tailwind CSS 429+ tests included. Docker support for easy deployment. It's 100% free and open source. GitHub link: https://github.com/moshehbenavraham/Voice-Agent-PuPuPlatter Let me know which voice provider you've been eyeing!

Hey everyone! Got early access to Veo 3.1 on Higgsfield and decided to put it head-to-head with Sora 2. Did a full comparison video testing the same prompts across both platforms. Some quick takeaways: - Veo 3.1's audio quality is noticeably cleaner (almost studio-grade) - Sora 2 does longer generations (12 seconds vs 8 seconds) - Veo 3.1 works better with image-to-video when you use a starting frame - Both have their strengths depending on what you're creating I tested everything from fitness videos to anime scenes to product commercials. Also included a bunch of community-generated clips that show what's really possible with Veo 3.1. Full breakdown in video below or here: https://youtu.be/LC23Q3iw3ZM?si=ORHJiVXgr3843-ys Worth noting - Higgsfield has unlimited generations right now on Sora 2 / WAN 2.5 and almost all of their image models (such as NanoBannana and Seedream 4.0), which is huge for anyone doing production work or iterating on ideas. BONUS: I'm also giving away a comprehensive deep-research report I put together on Veo 3.1 - covers all its capabilities, technical specs, and detailed comparisons against the competition. Its available if you visit the video on YouTube Curious what you all think. Anyone else testing these tools? What's your experience been?

OpenAI just dropped API access for their new image generation — and it changes everything. In this quick walkthrough, I show you exactly how to integrate it with n8n using an HTTP request node. Learn how to send prompts, convert base64 to binary, and automate image handling. This is a big one. Don’t miss it. 🔗 Official API Overview: https://openai.com/index/image-generation-api/ 🔗 API Reference – Create Image: https://platform.openai.com/docs/api-reference/images/create 👇 Drop questions in the comments if you need help.

Is reality fundamentally real, or an elaborate simulation? Part 2 dives into the compelling arguments and potential 'clues' hidden in plain sight.

This guy forked OpenAI CLI to work with google Gemini 2.5 and other models.. free and open source. https://github.com/ymichael/open-codex