I found this article very interesting. This article uses 10 simple but powerful charts to show how AI is going from hype to something that’s actually changing how we live and work. Gave me some great perspective 👍 Read here: https://debliu.substack.com/p/10-charts-that-explain-the-ai-era

This showcase video walks through my multi-agent voice AI system using Vapi Squads. 👉 View video in Classroom 👉 View template files in Classroom

Anthropic has officially launched Claude Opus 4.6, their most powerful model to date, which is designed to handle complex, end to end professional workflows with much higher reliability. - The massive 1 million token context window means you can drop entire codebases or huge document sets into a single prompt without the model losing its place. - It now features "agent teams" in Claude Code so you can have multiple agents working in parallel on different parts of a project at the same time. - New adaptive thinking and effort controls allow you to choose how much "brain power" the model uses, helping you balance speed and cost for simpler tasks. - It discovered over 500 high severity security flaws in open source libraries during testing, proving it can handle deep, autonomous code review better than a human. - Maximum output has been doubled to 128k tokens, so it can write massive reports or full application files in one single go without cutting off. - 💰 Standard API pricing stays at $5 per million input tokens and $25 per million output tokens. For those giant 1 million token prompts, premium pricing of $10 per million input and $37.50 per million output applies to ensure the model stays accurate over massive datasets. Read more: https://www.anthropic.com/news/claude-opus-4-6

I love the idea of a future where everyone has their own personal AI assistant, like Jarvis, that they can talk to and delegate tasks to. You can technically do this today, but it requires building out backend automations, system prompts, integrations, and guardrails. Right now, that setup is still pretty high friction, which keeps it out of reach for most people. Google is now letting Gemini connect directly to your Gmail, Photos, YouTube and Search so it can give you way more personal and context aware help. Here are the bits that stood out to me: • AI pulling real info from your emails and photos to answer questions in seconds • suggestions based on your actual habits and history instead of generic recommendations • cross referencing multiple sources to reason about tasks the way a human assistant would • privacy controls that let you pick exactly what apps Gemini can access • no extra data sharing since everything stays inside your Google ecosystem • early signs of how personal agents will replace manual searching and micro tasks • a clear step toward personal AI that understands your life context automatically I’m curious what you guys think. Would you actually turn this on, or does connecting personal apps to an AI still feel like too much? Read the full article here: https://blog.google/innovation-and-ai/products/gemini-app/personal-intelligence

Template now in AWA Free community! Full breakdown tutorial in AWA PRO! See how I automate lead scraping from Google Maps using Apify, Make.com, and Airtable to give you cheap and UNLIMITED business data collection. Click here 👉 Resource files & links in the classroom