Most voice systems still behave like polite interns. They wait for you to finish. They think. Then they respond - slightly late, slightly stiff. Repo: https://github.com/NVIDIA/personaplex Weights: https://huggingface.co/nvidia/personaplex-7b-v1 NVIDIA’s PersonaPlex-7B quietly steps away from that pattern. Instead of chaining ASR → LLM → TTS, it runs on continuous audio tokens, listening and speaking at the same time. A dual-stream transformer generating text and audio in parallel. That design choice matters more than the model size. They’re overlapping, interruptible, full of back-channels and timing cues we barely notice - until they’re missing. What’s interesting isn’t just that it’s open-weight and MIT-licensed. It’s that persona control is zero-shot, steered by prompts rather than fine-tuning - suggesting voice behavior might finally be treated as a runtime property, not a training artifact. Whether this feels “human” at scale will probably come down to deployment reality: latency budgets, streaming infrastructure, edge vs cloud trade-offs. But the direction is clear. The biggest limitation of voice AI may no longer be intelligence :- It may be how long we force it to stay silent before speaking.

Welcome 👋 you’re in the right place. This community exists to help you build real, practical AI skills —not hype, not theory, just how AI agents, automations, and workflows actually get built and deployed. How this community works:• Feed → ask questions, share builds, troubleshoot issues• Classroom → structured AI lessons you can follow at your own pace You don’t need to be an expert. You don’t need a perfect setup. You just need to start building. 👇 If you want, introduce yourself below:• what you’re currently working on• what kind of AI or automation you want to build No pressure — but saying hi helps the community grow. Glad you’re here 🚀

As businesses grow, managing customer conversations becomes just as important as generating leads. Here are a few widely used platforms and what they’re best at: HubSpot – All-in-one CRM for marketing, sales, and support. Great for inbound growth and long-term relationships.Zoho CRM – Flexible and budget-friendly with strong automation and integrations.Pipedrive – Simple, sales-focused CRM built around pipelines and deal tracking.Commslayer – Centralizes calls, messages, and conversations across channels.Gorgias – Support platform for e-commerce brands with fast, unified responses.Zendesk – Scalable helpdesk solution for structured customer support teams. These tools help teams:• Centralize customer data• Improve follow-ups and response times• Automate repetitive work• Scale operations smoothly The real value comes from how well the tool fits into your workflows. What CRM or support platform are you using right now?

In this video, I walk through how you can migrate hundreds of n8n workflows from one instance to another without losing track of anything. I show exactly how I moved all of my workflows from n8n Cloud to my self-hosted n8n instance by pulling every workflow into Google Sheets, logging what’s already been migrated, and then importing them into the new instance. This gives you a clean system to avoid duplicates, stay organized, and safely move everything over if you’re setting up a new n8n environment or switching hosting. GOOGLE SHEET TEMPLATE

Most automations look perfect in dev. Then production happens. What usually breaks first isn’t the AI model or the prompt — it’s:• edge cases you didn’t anticipate• API rate limits or silent failures• schema changes from dependencies• missing retry / fallback logic• unclear agent responsibilities AI is already powerful enough. System design is the real bottleneck. When automations are built around real workflows — with validation, retries, clear handoffs, and observability — they actually hold up in production. Curious to hear from the community 👇What’s the most painful failure you’ve seen after an automation went live? Shorter version (more casual) AI automations don’t fail because of AI.They fail because the system around them isn’t built for production. What usually breaks first in your builds? If you want, I can: - Make it more technical - Add a real-estate or customer-service angle - Create a follow-up post to convert engagement into DMs - Tune it to sound more beginner-friendly or more advanced