Microsoft has unveiled its first in-house AI models, signaling a strategic shift from being OpenAI’s biggest partner to building its own foundation layer. With ultra-fast speech synthesis and a lean but capable LLM, the move redefines efficiency, independence, and the future of Copilot.

By: Travis Fleisher

Claude’s new Connectors Directory shows what’s possible when models don’t just respond to prompts…they act within your digital workspace by tapping into tools like Google Drive and Notion through Model Context Protocol (MCP).

By: Travis Fleisher

Building a chatbot used to take weeks and thousands of dollars. Now you can launch one in under an hour using Zapier’s new no-code AI tool.

By: Travis Fleisher

Learning to code with AI is powerful, but without structure, it quickly turns messy. These five hard-earned lessons helped me code faster, cleaner, and with way less frustration.

By: Travis Fleisher

The second AI Advantage session explored how sports teams can move beyond basic chatbots to agentic AI systems. From low-code tools like Zapier to custom agent orchestration, the session emphasized hands-on experimentation and the strategic edge AI brings.

By: Travis Fleisher

In this first edition of our new AI Podcast Review Series: AI Podcast Weekly, we break down how Agency AI is helping sports marketers and operators build and scale agents without needing a full-stack dev team. From live-coded demos to real-world use cases, here’s what you need to know.

By: Travis Fleisher

ChatGPT and Copilot are no longer just quick-response assistants. Their new advanced modes are built to help you think strategically, access the live internet, research thoroughly, and make better decisions faster.

By: Travis Fleisher

A breakdown of how top companies are using Anthropic’s framework to move from GenAI experimentation to scalable business results. From strategic pilots to LLMOps and agent integration, here’s what the most effective teams are doing.

By: Travis Fleisher

AI model names dominate today’s headlines, but what do they actually represent? In this piece, we offer a clear and accessible explanation of what AI models are, and why they matter.

By: Travis Fleisher

The TWIML AI Podcast consistently delivers, but this one hit different. Josh Tobin brings clarity to a messy space and outlines how OpenAI trains agents to fail, recover, and learn. Essential listening.

By: Travis Fleisher

Unlock better results from ChatGPT and other GenAI tools with a simple framework for writing clear, effective prompts that actually work.

By: Travis Fleisher

Big consulting firms are building AI tools trained on their own playbooks, not public data. It's a smart move that turns internal knowledge into a competitive edge. Here's how your business can follow their lead, even without a large team or budget.

By: Travis Fleisher

Agentic AI is all the rage - but not all “smart” tools are created equal. Here’s how to tell the difference between automations, workflows, and AI agents (and determine which is the best fit for your goals).

By: Travis Fleisher

The energy in the room made it clear: AI isn’t a threat to sports, it’s the biggest creative opportunity in a generation.

By: Travis Fleisher

Using AI isn’t just about choosing the best tool, it’s about knowing how to connect them. This post introduces the concept of stacked intelligence and shows how to turn individual apps into a real workflow.

By: Travis Fleisher

What Shopify’s leaked memo reveals about how AI expectations are shifting for everyone. Once seen as a shortcut or novelty, AI is now becoming a core job skill across every role.

By: Travis Fleisher

AI memory and context limitations can make even the best tools feel frustratingly forgetful. This post breaks down why it matters and offers practical strategies to work around it.

By: Travis Fleisher

The AI adoption curve isn't a missed boat - it's a rising tide. Jump in now and you'll still be swimming ahead of the crowd. Exploring Anthropic’s newest Economic Index report.

By: Travis Fleisher

What does fishing have to do with AI? A casual conversation with my wife led to the simplest, most powerful way I've found to explain how machine learning actually works. Spoiler: it's not about writing rules — it's about teaching systems to learn from experience.

By: Travis Fleisher

AI is everywhere—but is it real? Many companies claim to be 'AI-powered' without actually using artificial intelligence. Learn how to spot AI washing, avoid misleading claims, and market AI ethically.

By: Travis Fleisher