Generative AI is quickly becoming an essential professional skill, but many people don’t know where to begin. The ChatGPT 101 Accelerator is a live, in-person training in Buffalo designed specifically for beginners who want a clear, practical introduction to ChatGPT. This hands-on session teaches participants how to write effective prompts, apply AI to real workplace tasks, and understand the risks and limitations of generative AI. With guided exercises, take-home resources, and business-focused examples, attendees leave with skills they can use immediately. The next LIVE ChatGPT 101 Accelerator takes place Tuesday, February 24, 2026.

As AI-powered search tools like ChatGPT Search, Google AI Overviews, and Bing Copilot reshape how people discover information, traditional SEO alone is no longer enough. Generative Engine Optimization (GEO) focuses on structuring content so it can be accurately understood, trusted, and cited by large language models. One overlooked but critical factor in GEO is the robots.txt file, which now controls how AI search and training crawlers interact with your site. This article explains how AI search actually works, clears up common misconceptions, and shows how to use robots.txt strategically to maximize visibility without sacrificing control.

Generative AI is no longer a future disruption—it is an active force reshaping creative industries today. While some creators resist adoption, major players like Disney are integrating AI tools directly into professional workflows. This shift signals a fundamental change in how content is produced, scaled, and distributed. For independent creatives, the real risk is not AI replacing human talent, but falling behind those who learn to use it effectively. Generative tools remove traditional barriers of budget and infrastructure, leaving creativity, taste, and execution as the true differentiators. Mastering AI now is no longer optional—it is a core creative skill.

Since the release of ChatGPT in 2022, OpenAI has played a defining role in the rise of generative AI. However, as the market matures, competitive pressure from platform-integrated AI systems is reshaping the landscape. This analysis examines OpenAI’s position through market dynamics, organizational stability, financial sustainability, and platform economics. As large language models become more interchangeable for everyday use, long-term advantage increasingly depends on distribution, capital efficiency, and governance. The article explores plausible future scenarios, including consolidation and deeper platform alignment, offering a measured, evidence-based perspective on what may determine leadership in the next phase of generative AI.

Artificial intelligence has rapidly become a core part of modern business operations, supporting everything from marketing and finance to HR and operations. However, while AI adoption continues to accelerate, employee training has not kept pace. Many organizations are discovering that using AI tools without proper education can lead to inaccurate outputs, data privacy risks, and poor decision-making. This article explores why AI training is now a business necessity, outlining current adoption trends, the risks of untrained AI use, and the key components of effective upskilling programs. With the right training, teams can use AI responsibly, efficiently, and confidently in 2025 and beyond.

You’re the Expert Now’s ChatGPT 101 Accelerator is Buffalo’s leading Generative AI training program for business owners and professionals. This one-session workshop teaches practical ChatGPT skills, prompt engineering, and AI-SEO strategies to help you harness generative AI for marketing, productivity, and ethical innovation.

As demand for practical AI education continues to grow, Buffalo-based expert Anthony DeSimone has emerged as a leading authority in ChatGPT training across Western New York. Since launching his ChatGPT Accelerator Class in early 2023, DeSimone has delivered the program 14 times, updating the curriculum continuously to reflect the latest AI features and real-world applications. The class emphasizes prompt engineering, personalization, and responsible AI use, ensuring participants understand both the benefits and risks of generative AI. With a strong focus on immediate workplace impact, the program equips professionals with skills they can apply confidently and ethically from day one.

As demand for practical AI education continues to grow, Buffalo-based expert Anthony DeSimone has emerged as a leading authority in ChatGPT training across Western New York. Since launching his ChatGPT Accelerator Class in early 2023, DeSimone has delivered the program 14 times, updating the curriculum continuously to reflect the latest AI features and real-world applications. The class emphasizes prompt engineering, personalization, and responsible AI use, ensuring participants understand both the benefits and risks of generative AI. With a strong focus on immediate workplace impact, the program equips professionals with skills they can apply confidently and ethically from day one.

A federal court order in the New York Times v. OpenAI lawsuit has fundamentally changed how ChatGPT handles deleted conversations. As of May 13, 2025, OpenAI is required to preserve all user chat logs—even those users attempt to delete—to prevent potential loss of evidence related to copyright claims. This article explains why the court issued the preservation order, who is affected, and how OpenAI has responded through appeal. It also explores broader implications for user privacy, legal discovery, and the future of generative AI. For everyday users, the ruling serves as a critical reminder that AI conversations may not be as ephemeral as they appear.

When Sam Altman said “OpenAI is nothing without its people,” he captured both the company’s greatest strength and its growing vulnerability. As competition for elite AI talent intensifies, companies like Meta, Google, Microsoft, and Anthropic are offering unprecedented compensation and faster paths to liquidity. At the same time, large language models are rapidly commoditizing, narrowing technical differentiation. This article examines how soaring valuations, unprofitable business models, and escalating talent costs are inflating an AI bubble driven less by durable advantage and more by capital and liquidity. It explores what may happen if market expectations collide with economic reality.