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The Model Context Protocol (MCP): Connecting AI to Everything
You want your AI assistant to read a file in your project. Someone else wants it to read a Jira ticket. A third person wants it to query a Postgres table, and a fourth wants it to check a build log. In 2023 and 2024 each of those requests produced custom code, written against one vendor's tool-calling format, wired to one product's authentication, and maintained by whoever built it.
Oct 125 min read


Building AI Agents for Business: A Cross-Discipline Guide
A company builds its first AI agent in a week. The engineering works. The agent reads incoming customer emails, classifies them, and drafts replies. The demo is impressive. Six weeks later, the team quietly switches it off. What happened is not a technology failure. The agent classified email types that the support team had already stopped using. It drafted replies with a tone the brand team rejected on sight. It escalated urgent messages to a queue nobody monitored. Every on
Sep 2825 min read


Sovereign AI Race: UAE (2026)
The United Arab Emirates assembled the most capitalised AI programme outside America: a 49 billion dollar fund, a five gigawatt campus, open Arabic models and the world's highest measured AI adoption. Every accelerator under it runs on a United States licence that names specific companies and carries an expiry date. This report separates the four sovereignty layers the UAE holds from the fifth it rents.
Sep 2841 min read




Automating Business Operations with AI Agents
Build multi-agent AI workflows for business operations: order processing, customer support, inventory management, and reporting. Learn agent orchestration and human-in-the-loop design.
Sep 1626 min read


The Reasoning Model Era (2026)
The reasoning model era began when OpenAI shipped o1, a model that thinks before answering. Two years later, GPT-6 Astra scores 99.9% on ARC-AGI-3, Claude Fable 5.1 leads the Intelligence Index, and DeepSeek V4 Pro matches closed models at a fraction of the cost. But research reveals a paradox: more thinking can make AI worse. This report analyzes the six families of reasoning models, the overthinking crisis, the inference economics inversion, and the Co-Intelligence-First fu
Sep 1418 min read


The Agentic AI Revolution 2026: When Software Takes Initiative
AI systems can now plan, call tools, coordinate with each other, and take actions in the world without a human approving each step. Production adoption is accelerating. Governance is not. This is the state of the shift from assistant to autonomous agent, and what it means for how we work, learn, and stay in control.
Sep 1221 min read


The Co-Intelligence First approach also applies to Agentic AI
Discover why the Co-Intelligence First approach is essential for human control, learning, and success in the future of Agentic AI.
May 1619 min read


GPTs Reborn: Why Custom Assistants Matter Again
In late 2023 you could build a small custom assistant in an afternoon: give it a name, write it instructions, attach a few reference files, and share it with your team by link. People built thousands of them. Many of those assistants are still in daily use, quietly doing a defined job for a defined group of people.
Sep 25, 202525 min read


Understanding AI Agents
Ask five people what an AI agent is and you will get five answers. One means an autocomplete feature in an editor. One means a chatbot with a memory. One means a script that runs on a schedule. One means a system that books appointments. One means a research assistant that reads twenty pages and writes a report.
Apr 21, 202524 min read


Revolutionizing Business with AI: Insights from Softbank and OpenAI's Tokyo Event
U365 attended an event in Tokyo featuring SoftBank's Masayoshi Son and OpenAI's Sam Altman.
Feb 4, 20258 min read


Unlocking the Future of Work with OpenAI's Operator Agent
On January 24, 2025, the introduction of OpenAI's Operator agent represents a significant advancement in the field of AI.
Jan 24, 20253 min read
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