Vishal

Very disappointed with the service by @atlys. I lost my patience with a couple of eventthat happened, I have no idea to whome I should contact

Enter Kickcall AI, a human-like AI receptionist that: ✅ Answers every call ✅ Books appointments ✅ Speaks multiple languages ✅ Syncs with your EMR, CRM or tools Just real conversations that convert. 👉 Book a demo at: kickcall.ai

Over 60% of patient calls go unanswered. And most don’t leave voicemails. They don’t call back. They move on. That’s not a staffing issue. It’s a scalability issue.

@kimmonismus AI speeding up drug discovery and genetic research could be a real breakthrough, especially for rare diseases.

OpenAI assumes that in the very near future, AI models could achieve biological capabilities at a level that was previously reserved for highly specialized laboratories and decades of research. This includes the development of new drugs, the design of vaccines, the decoding of complex genetic processes or the design of enzymes to solve environmental problems. What used to take years could become possible in days or weeks thanks to AI. This is not just a technological milestone, but a glimmer of hope for medicine - especially for rare diseases where conventional pharmaceutical research is not economically attractive.

@mindseraAI It makes journaling more insightful by turning entries into patterns and reflections. A helpful way to track growth and emotions over time.

Journaling can be tedious. Recognizing patterns takes months, and it's nearly impossible to sift through past entries. Mindsera helps you understand your emotions, dig deeper into your thoughts, get a weekly review, and more. Try it → mindsera.com

@GoogleCloudTech Gemini Code Assist is stepping up with improved personalization and context handling.

The latest updates to Gemini Code Assist, our AI coding assistant, include Gemini 2.5 support, greater personalization, and better context management! Check out cool demos → goo.gle/3I4Wkvr Try Gemini Code Assist for free → goo.gle/4jVcIfn

@dani_avila7 @AnthropicAI Adding Deep Graph MCP to Claude Code is a smart fix for handling big codebases. It boosts search and navigation where it counts most.

Introducing Deep Graph MCP for Claude Code 🤩 Claude Code by @AnthropicAI is excellent and arguably one of the best tools for working with code today but... It has one major limitation, its native code search capabilities don't scale well to large repositories. By adding Deep Graph MCP, Claude's ability to explore large codebases improves dramatically. In this thread 🧵 I’ll show you how easy it is to connect this MCP to Claude Code.

@minimax_ai MiniMax is making voice generation more flexible and expressive. Custom voices with emotion and language options open up many new possibilities.

Day 5/5 of #MiniMaxWeek: MiniMax Audio Dessert for Your Friday Voice Design- A breakthrough in voice generation: 🍰Any prompt, any voice, any emotion 🍩Fully customizable and multilingual Take a bite →minimax.io/audio

@adamsilverman @AgentOpsAI Nice summary! It’s helpful to have all the latest AI agent news in one place to stay updated.

This was a massive week for AI Agents. I summarized everything that happened this week in AI Agents from AgentOps, CopilotKit, n8n, Emrgent, AgentX, Abacus, Browser Use, Flowise, & more. 🧵 (save for later)

@TheTuringPost @TolokaAI Good point — AI gets most things right, but people need to step in and check the 30% that can be wrong. Using human judgment with AI is very important.

One of the most important skills in AI is to distrust LLM In 70% agent's plan would be correct, but in 30% it would be wrong. And this 30% is the most responsible part of human input to say "no" to LLMs and use human wisdom Olga Megorskaya, CEO of @TolokaAI (in our interview)

@freepik Great deal for anyone looking to explore AI image generation with Freepik’s latest features!

🔥​ Go viral with 30% off Freepik AI image generator 🔥 Unlock the latest AI image generation modes with Freepik 💙

@julesagent Updating core tools and improving runtime isolation will make development smoother and more reliable. Great to see ongoing improvements like this.

We just shipped a big update to the Jules dev environment: newer Rust, Node, and Python versions, better runtime isolation, and less pain from outdated dependencies. Full changelog → #modernized-base-environment-and-updated-toolchains" target="_blank" rel="nofollow noopener">jules.google/docs/changelog…

@locofy_ai Locofy bridges design and development smoothly, speeding up delivery while fitting into existing workflows. Impressive user base and solid security add strong trust.

Locofy converts your Figma designs to developer-friendly code. Build websites and mobile apps 10x faster. • Integrates with existing tools, workflow & tech stack • Used by 500,000+ developers & designers • Enterprise-grade security

@dr_cintas Combining website building, branding, and growth into one AI-powered service is a smart move.

The first AI agentic team just dropped. It builds your website, brand, and growth plan in minutes, and includes: - Fully managed hosting - Auto-SEO management - 24/7 on-demand AI - Stripe integration Step-by-step tutorial + how to try free👇:

@alliekmiller A great guide to understand key milestones and best practices in AI engineering.

Had to share the AI engineering roadmap straight from Karpathy himself. Grabbed every slide from his YC talk and compiled them - 80+ slides of pure gold from one of the most respected voices in AI. **Save this post** so you can reference these slides when you need them.

@svpino AG-UI makes it easier to build AI agents that work well with users in real time. Its simple event system and support from popular tools mean it’s ready to use for interactive apps.

The 3 AI-native protocols: • MCP (Model Context Protocol): This protocol allows you to connect AI applications to external tools. • A2A (Agent-to-Agent Protocol): Enables AI agents to communicate and coordinate to solve complex tasks. • AG-UI (Agent-User Interaction Protocol): Enables building user-facing AI agents. AG-UI is the newest of all these protocols (less than a month old), and the traction has been wild! If you want to build an agent that co-works with users, you need: • Real-time updates • Tool orchestration • Shared mutable state • Security boundaries • UI synchronization AG-UI gives you all of this. It’s a lightweight, event-streaming protocol (over HTTP/SSE/webhooks) that creates a unified pipe between your agent backend (OpenAI, Ollama, LangGraph, custom code) and your frontend. Here is how it works: • Client sends a POST request to the agent endpoint • Then listens to a unified event stream over HTTP • Each event includes a type and a minimal payload • Agents emit events in real-time • The frontend can react immediately to these events • The frontend emits events and context back to the agent As of right now, AG-UI integrates with LangChain, CrewAI, Mastra, AG2, Agno, and LlamaIndex. They are adding support to AWS, A2A, ADK, AgentOps, among others. This is the way to build interactive, agent-driven applications. You can build your first AG-UI-powered application with a single command: $ npx create-ag-ui-app Check the protocol GitHub repository: github.com/ag-ui-protocol…

@googleaidevs Having both multimodal and text-only options gives teams the flexibility to build for different healthcare needs.

🩺 Get started with MedGemma, a collection of Gemma 3 variants built for medical text and image comprehension. Choose between the 4B multimodal model or 27B text-only model to accelerate your healthcare AI projects ↓ deepmind.google/models/gemma/m…

@DeepLearningAI Great to see Apple improving both on-device and server models. The smaller 3B model doing well is a big win for apps that need to run fast on phones.

Apple refreshed its Apple Foundation Models (AFM) with new versions for on-device and server use, aiming to improve performance in tasks like image understanding and multilingual reasoning. The company also released a Foundation Models API for developers to integrate the on-device model into applications on Apple Intelligence-enabled devices. AFM-on-device uses a compact 3B-parameter transformer and outperformed similar-sized rivals in some tasks, while AFM-server leverages a custom mixture-of-experts architecture but showed mixed results against top competitors like GPT-4o. Learn more in The Batch: hubs.la/Q03t020C0

@unwind_ai_ Making React apps MCP-ready in just 3 lines is a big step forward.

5 huge AI agents, MCP, and LLM releases in the last 24 hours: 1. Turn any React app into an MCP client in just 3 lines of code. Cloudflare's use-mcp library to connect any React app to any MCP server with built-in authentication. 100% Opensource.

@dr_cintas Thanks for sharing!

What a crazy week in AI 🤯 - Midjourney V1 Video - ChatGPT Record Mode - Higgsfield new AI Canvas - Claude Code MCP Servers - Google Search Live AI Mode - MIT Study ChatGPT’s Impact - MiniMax M1 model & AI Agent - Tencent open-source 3D model Here’s EVERYTHING you need to know: