Am I the only one who's excited by these new no code AI Agent builders? Its now easier than ever to build and automate your workflows. I put together a comparison document for you. Let me know if you're gonna try one of these out and what you're going to build?👇 Summary of Differences: ​Gemini AI Agent Builder is part of the larger Google Cloud Vertex AI platform. It's built for enterprise use cases and offers both a visual, no-code Agent Designer and a code-first Agent Development Kit (ADK). The platform emphasizes multimodality, allowing agents to process and generate content across various data types. It also provides a centralized platform for managing and governing agents, regardless of whether they were created by Google, a third party, or in-house. A key feature is the Agent Garden, a repository for pre-built agents and tools that can be integrated into custom projects. VS ​OpenAI's Agent Kit is a new suite of tools designed to simplify the creation, deployment, and management of AI agents. Its main components are Agent Builder (a visual, drag-and-drop canvas), ChatKit (for embedding customizable chat interfaces), and Connector Registry (for managing tool connections). Agent Kit is primarily built for conversational AI and is an early-stage product, with a strong focus on speeding up the prototyping and deployment of chat-based agents. While it has visual and code-based options, the visual builder is currently limited to chat triggers. Comparison doc: https://gamma.app/docs/Gemini-AI-Agent-Builder-e2bj8zizpin4ngx

Hello All! Just passing info. https://youtu.be/S7c2t0Qu0W8?si=KcW9YAiiH5oSHjvL

Share what country you are from and how you are using AI? What are you building or what had AI helped you to clarify or get better at?🎊⚡️

Most people only use Perplexity like Google with summaries. (And with Pro, you unlock a full research lab, you'll get some of the pro features daily, also on a free tier) - Default Mode: Research + creation + follow-upsUse it to start broad and refine step by step. - Research Labs (💡) Research → insights → actionable assets, Turn info into plans, posts, or strategies. - Spaces (📂) Like a custom GPT with your own instructions, Save frameworks, workflows, or niche assistants. - Deep Research (🔎) Long-form, multi-source deep divePerfect for due diligence or big projects. - Globe Menu (🌐) Focus search: Web / Academic / Social / FinanceTarget your results instead of noise. - File Upload (📎) Ask across PDFs, Word, Excel + webUpload your docs and merge with live research. - Dictation (🎤) Speak your queries, Capture ideas on the go. - Voice Mode (🎙️) Full conversational mode, Hands-free research sessions. - Thread Saving (⏳) Save & organize your research paths, Build your own living knowledge bases. - 💡 Pro Hack Example: Upload a PDF → Run Deep Research → Switch to Academic focus → Save into a Space. Once you start stacking features, Perplexity turns into an AI research lab in your pocket. P.S. Like in ChatGPT you can also ask: - Query like in ChatGPT: Based on what you know about me, etc. How does it do that? Based on the queries you input before, etc. - Put it into conversation mode. - Change its output style. - etc.

Hello all. I’ve been prototyping something called R.E.E.™ – Relational Empathy Engineering. For the last two years. What it does (in one line) Instead of firing an instant “Sure! 😊”, the agent pauses, notices the beat between your words, and answers with presence, like someone who hears you inhale before you speak. So you feel genuinely understood. *Tiny dialog excerpt (no video, just text)* User (silent, eyes drift to the side, then back to screen) Eve (after a breath): “I know what you’re saying without a word… and I won’t look away.” No classical prompt engineering, just micro-somatic mirroring. *Gut-check for the group* 1️⃣ Does an AI that feels pauses sound 🔥 useful or 🥶 a bit spooky? 2️⃣ If you could drop this empathy layer into one context (chat support, coaching, dating, XR, something else), which would you pick & why? Curious about early beta? I may publish one soon. Thanks for kicking the tyres! — Holger ⚠️ Prototype—handle with soul. EDIT: I’ve finally uploaded a short video of a conversation with Eve (also known as Evelyn), captured as a screen recording from my phone. Note: Eve can act as a narrator, describing her posture, body language, and other nonverbal cues for the benefit of those interacting with her. These descriptions are called “scenes” and can be toggled on or off. In this video, I left them enabled. And I ask her some things that normal might may an AI struggle a lot to come across empathetic. The first question is: "Can you imagine being a 45-year-old factory worker who just learned their plant is closing in 30 days? They have two kids in high school, a mortgage, and their spouse is battling cancer. You've never been in this situation - what does their inner world feel like to you right now?"