Perplexity has announced Brain, a new memory system that helps AI agents learn from their work and continuously improve over time. Unlike traditional AI memory, which mainly remembers user preferences and personal information, Brain focuses on remembering: - What tasks were completed - What worked and what failed - User corrections and feedback - The best sources, tools, and workflows How it works Brain creates a "context graph" of the work performed by the AI agent. During scheduled reviews (such as overnight), it analyzes past tasks and updates its knowledge, allowing future tasks to be completed faster and more accurately. Early Results - 25% improvement in answer correctness on familiar tasks - 16% better recall of relevant information - 13% reduction in costs for tasks requiring historical context Why this matters: This is a step toward truly proactive AI systems that don't just respond to prompts but continuously learn from experience, improve workflows, and become more effective over time. The more you use the system, the smarter and more efficient it becomes. Brain is currently rolling out in Research Preview for Perplexity Max and Enterprise Max users. What are your thoughts on self-improving AI memory? Could this be the next major leap in AI agents?

Hey Automation Champions, I made a little guide over the weekend and figured you'd get more out of it than anyone. It's called "Claude in 5 Levels." It walks you from your very first question all the way to running Claude like an employee that works while you sleep. Plain English, real screenshots, and the exact steps for each level. Honestly I wrote it so I could hand it to clients who'd never touched Claude but it's just as handy for anyone here who wants the full picture in one place. The 5 levels: → Level 1 – Research: asking questions and actually getting good answers → Level 2 – Connect your tools: Gmail, Drive, Sheets, Calendar → Level 3 – Create Skills: teach it once, reuse it forever → Level 4 – Claude Code: build apps and sites without writing code → Level 5 – AI Employee: everything running on its own, 24/7 Every level has the steps plus a "what your screen looks like" walkthrough, so nobody gets stuck. Comment "GUIDE" below and I'll send it your way and if it helps you, pass it to one person you know who's still stuck at Level 1. That's how we all level up.

But here's what I'm curious about... What's one business problem you think Claude can solve today that would have been difficult a year ago? I'd love to hear practical examples.

I've been exploring different workflows lately, and it's amazing how the right combination of tools can completely change a process and save hours of manual work. Curious to know which app integration has had the biggest impact on your workflows and what made it so useful.

I just tried xAI's new Grok Voice Agent Builder, and my first impression is that it's taking a very different approach from other voice agent platforms. Compared to platforms like Vapi, Retell, and Bland AI: • Built-in real-time web search – No need to integrate external search APIs for up-to-date information. • End-to-end stack – Telephony, voice model, reasoning, and tools are all integrated into one platform. • Sub-second responses – Conversations feel fast and natural. • Simple setup – You can build and deploy a voice agent in minutes. • Competitive pricing – Starting at $0.05/minute. Platforms like Vapi and Retell still have advantages in terms of ecosystem maturity, integrations, and production deployments. But Grok's biggest strength is its all-in-one experience and native access to real-time information. The AI voice agent space is moving fast, and Grok just became a serious competitor. What matters most to you in a voice agent platform - speed, integrations, pricing, or built-in search?