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Showing posts with the label "Productivity"

The சிறப்புச் சட்டமன்றம் deferred the Cauvery water dispute hearing to September

1 செப்டம்பர் 2026, மதியம் 12:03 PM தமிழ்நாடு: Times of India - India அறிவித்த விவரத்தின்படி, the Supreme Court deferred the Cauvery water dispute hearing to September 15 Delhi Police moves SC to withdraw 13 FIRs, including 10 on attempt to murder SG seeks hearing on Sep 1; CJP had விதித்துள்ளார் Centre of reneging on withdrawal of FIRs. Notices were sent to the Centre, with the case scheduled for a hearing on September tenth, urging both protesters and law enforcement to comply with legal standards. SC: Externment orders cannot be அனுமதித்தது routinely, require reasons. Bihar, Jharkhand settle 25-year Sone water row Bihar and Jharkhand resolved a 25-year water dispute on Monday. The Sone river agreement was signed in New Delhi with Union Home Minister Amit Shah. MEA: 51 Indians die serving in Russian army. இந்த தகவல் 2 ஆதாரங்களால் (Times of India - India, Indian Express - India) உறுதிப்படுத்தப்பட்டுள்ளது. அடுத்த என்ன? சட்ட நிலைமை தொடரும், அடுத்த விசாரணிகள் அமைக்கப்பட்ட...

AI Agents in 2026: A Small Business Operating Model Before You Buy Tools

AI agents are moving from novelty demos into everyday work, but the winning question for a small business is not "Which agent should we buy first?" It is "Which part of our work is structured enough for an agent to help without creating new risk?" That distinction matters in 2026 because the agent market is getting louder. OpenAI is packaging agent-building blocks such as tool use, file search, web search, computer use, and tracing. Google is pushing enterprise agents that connect search, workplace data, and task execution. Microsoft says the bigger opportunity is not just faster individual work, but redesigning how people, leaders, and organizations share work with AI. For a lean team, the practical path is to build an operating model before piling on tools. The useful shift: agents are becoming workflow partners An AI assistant usually waits for a prompt and returns an answer. An AI agent can take a goal, choose tools, break the work into steps, and keep going...

AI Agents for Small Business: A Practical Pilot Plan Before You Automate

AI agents are quickly moving from demo videos into everyday work. The important shift is simple: instead of only answering a question, newer AI systems can research, use tools, browse websites, work with files, and prepare outputs that a human can review. That does not mean every small business should hand over sales, finance, support, or website updates tomorrow. The smarter move is to run a controlled pilot: one useful workflow, clear permission rules, measurable results, and a human final check. This guide is for founders, developers, local stores, ecommerce teams, and service businesses that want real productivity without reckless automation. It applies whether you are presenting work through Haerriz , building client software under Haerriz Creators , selling custom tees and hoodies through Haerriz Trendz , or digitizing a hardware business such as Seni's Stores . Why AI agents matter now OpenAI's ChatGPT agent announcement describes a system that can use its own virtu...

Enterprise AI Agents Are Moving Fast: A Practical Operating Model Checklist

AI agents are no longer just a demo category. The useful question for teams in 2026 is not whether agents can draft, research, summarize, or trigger workflows. They can. The harder question is whether the organization around them is ready to capture the value without creating confusion, cost, or quality problems. Goldman Sachs reported in July 2026 that enterprise AI deployment is accelerating, especially as agentic features and business workflows increase token use and put pressure on inference compute. Microsoft WorkLab's 2026 Work Trend Index frames the same shift from inside organizations: employees are often ready to use AI in advanced ways, but the systems around them are not always ready to support it. IBM's explanation of agentic AI helps clarify why this is different from a normal chatbot: agents can perceive context, reason through steps, call tools, execute actions, and learn from outcomes. That combination makes AI agents powerful, but it also makes process desig...