You guys notice how all the big AI tools are slowly merging into these all in one automation hubs? Google looks like it's about to take a big swing here. The article basically says Google is testing an integration that could bring Opal's agent building tools directly into Gemini. Here are the key takeaways that matter for us playing with AI and automation: • potential native agent builder inside Gemini • unified space for custom mini apps and workflows • less switching between tools to build automations • signs that Google wants Gemini to become an automation hub • Google currently juggling three workflow builders which hints at a bigger consolidation coming • could push more no code users into agent style automation If Google really fuses Opal into Gemini, how would you guys use it in your workflows? Curious what kind of automations you'd build. Read the full article here: https://www.testingcatalog.com/google-plans-to-integrate-opal-agent-builder-into-gemini

Alright you guys, this one caught my eye today because it feels like another sign that visual AI tools are about to level up again. The short version is that OpenAI is testing two new image models that aim to fix old issues and boost detail and color quality. Here are the key things that stood out to me: - big jump in detail and fidelity - fixes the yellow tint problem from Image 1 - closer competition with Google's Nano Banana 2 - early testers seeing more accurate colors and cleaner structure - style feels like a mix of old DALL E strengths with newer tech - likely launching around the same time as GPT 5.2 - could mean better assets for design, marketing, automation workflows I am curious how you guys feel about this. Are you excited for better image generation or are you sticking with your current model for now? Tbh, I'm not that optimistic with OpenAI right now. Been LOVING Google lately! Read the full article here: https://www.testingcatalog.com/openai-testing-new-image-2-models-on-lm-arena

Hey everyone After working on this for months, I built an AI system that handles the entire sales process from finding leads to booking appointments automatically. Before: I was spending 18+ hours weekly hunting for leads manually, sending messages that get ignored, forgetting to follow up, and constantly worrying about where next client will come from. I've been testing this with a few businesses and the results? 94 appointments booked in 30 days for a recruitment firm (screenshot) SaaS founder: Added $85k extra monthly revenue Multiple service businesses: booking calls automatically It's fully automated. No manual outreach needed. Feel free to reach out if you want to chat about this stuff, im always here to help any way possible

So… real-time web search just moved inside Make. Make just launched Make AI Web Search, a native module that lets us pull live internet data straight into our scenarios without extra APIs, scraping tools, or separate accounts. Here is why I think this is a big deal for how we build AI and no-code automations: - Built-in web search module right on the canvas, no external API keys or scraping services - Search any topic and feed results directly into AI Tools, CRMs, notifications, agents, and more - Real-time research flows for brand monitoring, competitor tracking, SEO watchlists, and trend tracking - Automated alert pipelines for breaking news, regulatory changes, or industry announcements that can trigger downstream workflows - Lead enrichment from the web into your CRM, including background research when a new lead appears - Auto-updating knowledge workflows like dashboards, briefings, and article summaries powered by AI plus live search - Scenario logic based on search results, like only triggering actions when certain keywords or mentions appear - Available on all plans, with searches consuming credits so you can tune costs by choosing lighter models where it makes sense I am curious how you guys are thinking of using this. If you could plug real-time web search into any of your current automations, what would you build first? Article: https://www.make.com/en/blog/ai-web-search

Wild update today you guys. Google DeepMind just hired the former CTO of Boston Dynamics, and it feels like another big sign that AI is about to spill fully into the physical world. The article basically says DeepMind wants Gemini to become the Android of robotics. One AI brain that can plug into almost any robot body. Here are the parts that stood out to me: - DeepMind bringing in Aaron Saunders to level up hardware expertise - idea of Gemini as a universal robot operating system - push toward robots that work out of the box with many body types - rising competition from startups and Chinese companies like Unitree - hardware getting cheaper and more accessible, which fuels faster innovation - researchers predicting a real robotics breakthrough moment in the next couple years I’m curious what you all think. If AI becomes the default control layer for robots, what kind of automations or real world use cases do you think we’ll be building sooner than we expect? Read the full article here: https://www.wired.com/story/google-hires-cto-boston-dynamics-demis-hassabis-android/