Neural Notes:
Helping you go from curious to capable with practical AI insights and advice.
How Zapier Made AI Chatbots Easy (and Affordable) for Everyone
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
AI Podcast Weekly: The Secret Sauce to Scalable AI Agents | Agentic
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
How ChatGPT’s Deep Research and Copilot’s Think Deeper Unlock Real AI Value
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
Anthropic’s Blueprint for Enterprise-Ready Generative AI
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
Navigating the Modern AI Model Landscape
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
AI Podcast Weekly: Inside OpenAI’s Real-World Agent Strategy
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
The Art of Prompting GenAI: How to Talk to AI So It Actually Listens
Unlock better results from ChatGPT and other GenAI tools with a simple framework for writing clear, effective prompts that actually work.
By: Travis Fleisher
McKinsey Built an AI Chatbot from Its Own Playbook…So Can You
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
Agents, Automations, and Workflows: The AI Unlock Hiding in Plain Sight
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 Future of Sports AI Is Already Here: Reflections from the Inaugural AI Advantage Program
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
Stacked Intelligence: Less Magic, More Architecture.
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
AI Isn’t Cheating Anymore, It’s the Job Now
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
Context is Key: Why AI Memory Matters More Than You Think
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
Two Years Behind, Five Years Ahead
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
Give a Man a Fish, Teach a Machine to Learn
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 Washing: How to Spot It and Market AI Ethically
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