Author: Belayet Hossain

Gemini Spark and Microsoft Autopilot are both designed to move AI beyond chat and into background task execution, but they target different environments. Gemini Spark is the stronger fit for Google-heavy personal productivity, while Microsoft Autopilot is better aligned with Microsoft 365 work and enterprise workflows. Microsoft Scout is the previous name for Autopilot, so they are not two separate products. If your day runs through Gmail, Google Calendar, Drive and Chrome, Spark is the more natural choice. If your organization runs on Teams, Outlook, Microsoft 365 and governed business data, Autopilot has the stronger architectural fit. This comparison looks…

What Gemini Spark Actually Is Gemini Spark is Google’s personal AI agent designed to handle complex digital tasks and ongoing workflows in the background. Instead of only answering a prompt, Spark can work toward a goal, use connected information and tools, run scheduled tasks, and ask for your involvement when an important action needs your approval. That makes Gemini Spark different from a normal chatbot. You can give it a goal such as organizing email, researching a topic, planning a trip, or monitoring information over time, then let it work through the task instead of manually prompting it at every…

The Shift From Chatbots to AI That Gets Work Done For years, using AI at work meant opening a chatbot, writing a prompt, reading the answer, and doing the next step yourself. Agentic productivity changes that model. Instead of asking AI to help with individual tasks, you can give an AI agent a goal and let it plan, use tools, execute steps, monitor progress, and return when human input is needed. That shift matters because productivity is not only about producing more text, images, or ideas. Much of modern work is coordination: checking information, moving data between apps, following up…

Chrome’s ML-KEM support strengthens TLS key establishment against future quantum attacks on supported connections. It does not make all of HTTPS quantum-resistant. ML-KEM protects an important part of the connection – establishing session secrets – while certificates, authentication, endpoints, passwords, applications, and other security layers still require separate protection. Chrome’s ML-KEM Upgrade Changes One Important Layer of HTTPS Imagine connecting to a website today and knowing that someone has quietly recorded the encrypted traffic. The attacker may not be able to read it now, but they could keep the data and attempt to decrypt it years later if a sufficiently…

If you use Chrome or Android, you may already have access to passkeys through Google Password Manager. A passkey lets you sign in without typing a password. Instead, your device or passkey provider uses cryptographic credentials and asks you to verify yourself with a fingerprint, face scan, PIN, pattern, or device unlock. Google says passkeys are designed to resist phishing because they are tied to the website or app where they were created. But there is an important security boundary to understand: phishing-resistant does not mean malware-proof. Passkeys remove many of the weaknesses associated with passwords, but they do not…

Gemini 3.5 Flash at a Glance Gemini 3.5 Flash is Google’s Flash-series AI model designed for high-speed reasoning, coding, multimodal understanding, and agentic tasks. Google launched it on May 19, 2026, making it available through the Gemini app, Google Search’s AI Mode, Gemini API, Google AI Studio, Android Studio, and other Google products. It supports a 1-million-token context window, thinking, tool use, and Computer Use. The important story is not simply that Gemini became faster. Gemini 3.5 Flash was designed to combine strong reasoning with the ability to work through multi-step tasks and use tools. That combination helped Google move…