8 Principles for Getting AI Nativity Right

Artificial Intelligence

8 Principles for Getting AI Nativity Right

AI nativity is not a commodity model or a race to automate work. It is a human-centered growth architecture for turning trusted knowledge, responsible design, and human judgment into greater value. By Lili Kazemi | General Counsel and AI Policy Leader, Anant Corporation Before AI had a name, humans were already imagining it. In Greek mythology, Talos was a bronze guardian built to protect the island of Crete. Around 1495, Leonardo da Vinci designed a mechanical knight capable of imitating

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Artificial Intelligence

The Cure for AI Anxiety: 5 Ways to Design Your Personal Operating System

The hidden productivity trap of AI-enabled work, and how composite AI can turn possibility overload into disciplined decision support. AI was supposed to make knowledge work easier. In many ways, it has. The blank page is no longer the problem. A rough idea can become a memo, presentation, project plan, or client update in minutes. Research can be summarized, language refined, and scattered information organized with remarkable speed. But that speed has created a quieter problem. The AI gives you

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Artificial Intelligence

Apple and OpenAI Trade Secret Fight: 5 Allegations and 5 Takeaways for General Counsel

Five allegations, OpenAI’s response, a disputed email trail, and five governance takeaways for general counsel. Updated through August 2026. Apple, OpenAI, and the Trade Secret Fight: Who’s David, Who’s Goliath? When we look at the current landscape of AI lawsuits, the narrative is usually a classic “David versus Goliath” setup—a massive tech conglomerate dominating an individual author, a news outlet like The New York Times, or a legacy media company. But this lawsuit is completely different. There is no David

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Artificial Intelligence

When AI Becomes Evidence, Who Is Culpable?

AI Evidence, Platform Duties, and the New Liability Layer An Anant AI Governance Brief By Lili Kazemi, AnantFeaturing a law enforcement AI perspective from Chris Ryan Chris Ryan Lili Kazemi An uncomfortable truth is taking hold: what you type to an AI chatbot may not stay private. It can become discoverable evidence. And not just evidence of one thing. An AI conversation can reveal three things at once: what a person intended, what a system generated, and who had the

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Artificial Intelligence

MCP UI: The Open Standard for Interactive Agent Interfaces — And How to Ship It in Any Language

Free to learn. Free to run. Free to keep. TL;DR Key Findings What MCP Is (the 90-second foundation) The Model Context Protocol (MCP) is an open standard, originally created at Anthropic by David Soria Parra and Justin Spahr-Summers and open-sourced on November 25, 2024 (spec version 2024-11-05), for connecting AI models to external tools, data, and prompts through one interface. The pitch is “USB-C for AI”: instead of writing a bespoke integration for every model-to-tool pair, you implement MCP once

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Artificial Intelligence

Reskilling for Impact: Preparing Teams to Work With AI

Artificial Intelligence is rapidly reshaping the technology industry. From software development and cybersecurity to cloud operations and data analytics, AI is becoming deeply integrated into how modern tech teams work. But despite fears surrounding automation, one reality is becoming increasingly clear: AI is enhancing human capability, not replacing it. The real transformation is not about machines taking over jobs — it is about professionals learning how to work smarter with intelligent systems. In today’s tech-driven environment, AI tools can generate

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Artificial Intelligence

Beyond the Hype: Architecting the Enterprise AI Video Stack (Post-Sora)

By Lili Kazemi | Founder, The Human Edge of AI The recent exit of high-profile platforms like Sora has highlighted the most significant risk in the AI video space: Platform Dependency. For the C-suite and technical leadership, the goal is no longer finding the “best” model, but building a resilient, model-agnostic Video Infrastructure. In 2026, we have moved from “One-Prompt” generation to Multi-Agent Workflows. At Anant, we focus on how to integrate these tools into existing enterprise pipelines while maintaining

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Artificial Intelligence

The Battle for the Digital Soul: Why 2026 Is the Year of Sovereign Memory

By Lili Kazemi | Founder, The Human Edge of AI Artificial intelligence is no longer defined by a small number of centralized models competing for dominance. The ecosystem has fragmented and democratized rapidly. Open models, specialized systems, enterprise deployments, ecosystem-native assistants, and memory-first architectures are all evolving simultaneously. As AI becomes more distributed, the real strategic question is no longer simply intelligence. It is sovereignty. Who controls the data, workflows, reasoning structures, and memory layers that increasingly shape how organizations

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Artificial Intelligence

From Agent to Action: Navigating the Agentic AI Liability Gap in Critical Infrastructure

By Lili Kazemi | Founder, The Human Edge of AI For the past three years, the corporate world has been obsessed with the chatbot. We focused on hallucinations, data privacy, prompt engineering, and whether AI-generated answers could be trusted. But while we were debating what AI said, the technology changed. In 2026, the more urgent question is what AI can do. The shift from generative AI to agentic AI — systems that can plan, use external resources, access workflows, make

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