Today's Guide to the Marketing Jungle from Social Media Examiner...
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Friday is almost here, Alluser! Before you unplug, here are the latest AI insights and updates for marketers. Whether you read them now or save them for later, you won't want to miss these.
In today's edition:
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5 Ways to use Claude Cowork
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A practical three-phase framework to become AI-ready
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🗞️ Industry news from Anthropic and OpenAI
Using Claude Cowork
Most AI tools need constant back-and-forth—ask a question, get a reply, repeat. Claude Cowork doesn't work like that. You give it a clear task, and it figures out the steps, gets to work, and delivers results—while you move on to something else.
Need a customer dashboard? It'll build one and write your marketing copy to go with it. Want YouTube strategy ideas? Done. Need to clean up a messy folder full of random files? It reads and renames them for you—no manual digging required.
Rick Mulready show you how to connect Claude to your tools like Notion, Gmail, and Slack through Zapier, so it does real work inside your business, not just inside a chat window. Watch more here.
Don't Get Left Behind 🤖
Two types of marketers are emerging: those leveraging AI to work smarter, and those still grinding harder for less. The gap widens daily—which side will you choose?
"The AI keynotes were the most valuable information I've received at a conference in years. Worth the price of admission!" said Sarah Burt.
At AI Business World World, you'll master:
🤖 Which AI tools actually move the needle (vs expensive distractions)
🤖 How to maintain authentic brand voice while leveraging AI
🤖 AI workflows that cut content creation time by 70%
"The mindset, openness, and amount of time the experts gave to us was head and shoulders above other conferences," said Noah Stanley.
The AI revolution is here NOW. Join thousands of marketers getting ahead.
I'm ready to claim my AI advantage.
Becoming AI Ready: How to Creatively Secure Your Future
Before implementing AI readiness, you need to understand what Kyle calls "aching gaps"—the fears and concerns about your professional future.
An aching gap is the anxiety you feel when you imagine losing your job. It's the fear that keeps you awake at night, wondering if you'll become obsolete. These gaps represent the distance between where you are now and where you need to be to feel secure in an AI-powered world.
The good news is there's a structured approach to closing these gaps. Kyle developed a three-phase cycle called Play First, Create Excellence, and Generously Lead. This framework provides a clear path forward regardless of your current skill level or industry.
The cycle is designed to be iterative—you continuously move through these phases, each time raising your capabilities and securing your position.
Play First to Build Your Foundation
The first phase focuses on exploration and discovery through purposeful experimentation.
A daily AI practice is more than just a habit—it's a centering ritual that helps you clarify what you want and who you want to become.
Kyle recommends starting each day by asking yourself what you want to accomplish and what you want to contribute to the world. This reflection grounds your AI exploration in purpose rather than letting you drift aimlessly through features and capabilities.
The practice should happen consistently at the same time each day. This regularity builds momentum and prevents AI work from getting pushed aside by other priorities.
Play With Purpose
Random experimentation has limited value. Purposeful play means directing your exploration toward specific goals and challenges.
Kyle describes Jim Ross, who works in the self-storage business—not digital storage, but the physical world of cardboard boxes and garage doors. Jim established a daily AI practice using a Pomodoro timer. Every morning over coffee, he sets a one-hour timer and works with AI tools for his business.
One evening, Jim joined Kyle's AI Learning Lab live-stream, where Kyle was teaching how to create songs with Suno, an AI music generation tool. Jim had met with a prospective client just four hours earlier. He knew their name, their business, and what they were trying to accomplish.
While watching the tutorial, Jim had ChatGPT write personalized lyrics incorporating the client's information and goals. He then used Suno to generate a complete song from those lyrics. He sent the song to the client immediately.
Within five minutes, the client responded: "You got the job."
Jim closed the deal by learning across domains and applying a seemingly frivolous skill—AI-generated song creation—to his self-storage business. The client recognized the intention and effort behind such a personalized gesture. To them, it didn't make sense that someone could write a song that fast and that personalized, which made the gesture even more memorable.
Jim continues this daily practice, sometimes working on specific business needs and sometimes just experimenting and playing. He never knows exactly what he'll do during his hour, but consistent practice continuously builds his AI capabilities.
Learn Across Domains
AI readiness requires borrowing insights and approaches from fields outside your expertise.
Traditional career development often meant deep specialization in a single domain. AI readiness flips this model. The most valuable professionals will be those who can connect ideas across different disciplines and apply insights from one field to solve problems in another.
Kyle encourages deliberately exposing yourself to domains you know nothing about. If you're a marketer, study how scientists approach research. If you're a designer, explore how engineers solve problems. Use AI to help you understand these foreign domains and identify transferable principles.
This cross-domain learning makes you adaptable. When your industry shifts—and it will—you'll have mental models and approaches from other fields to draw upon.
Other topics discussed include:
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The Real Competition Isn't Humans Versus AI
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The Upside of Being AI Ready
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How to Create With Excellence to Raise Your Game
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How to Generously Lead to Secure Your Position
Today's advice provided with insights from Kyle Shannon, a featured guest on the AI Explored podcast.
Reclaim Hours Every Week
Do you feel like you're drowning in repetitive tasks that drain your creative energy? AI can automate your content creation, streamline data analysis, and handle routine workflows—giving you precious time back for strategy and innovation.
The AI Business Society shows you exactly how.
"I have already improved my workflow on how I create and publish content. That's why I joined AI Society - to maximize return on efforts," says member Prathima Venkatesan.
Join today and start reclaiming your time.
ChatGPT Begins Testing Ads: OpenAI is testing ads within ChatGPT's Free and Go tiers, introducing sponsored content that appears separately from AI responses and does not affect answers. Ads are shown based on chat topics and past interactions, with strict safeguards: no advertiser access to chats, no ads near sensitive content, and full control for users over personalization and ad data. Aimed at funding broader access and new features, the pilot opens a new channel for businesses to connect with users during high-intent moments in conversation. OpenAI
OpenAI Introduces Trusted Access for High-Risk Cyber Use: To balance cybersecurity innovation and safety, OpenAI is implementing a trust-based access system for high-risk cyber capabilities in GPT-5.3-Codex. Users must verify their identity or apply through enterprise or invite-only programs to gain access to more permissive model behaviors needed for legitimate defensive work. The system includes automated monitoring and policy enforcement to prevent misuse such as malware creation or data theft. This evolving approach aims to support security professionals while maintaining responsible AI usage. OpenAI
OpenAI Launches Frontier for Enterprise-Scale AI Agents: OpenAI has introduced Frontier, a new platform designed to help enterprises deploy AI agents that work like real employees. Frontier equips AI coworkers with shared context, the ability to plan and act across systems, and clear identity and permissions. It integrates seamlessly with existing enterprise tools and cloud environments, allowing agents to solve complex problems, learn from feedback, and improve over time. With built-in governance and optimization tools, Frontier aims to close the gap between experimental AI pilots and real-world production. OpenAI
OpenAI Launches GPT-5.3-Codex Capable Coding Agent: OpenAI has unveiled GPT-5.3-Codex, a powerful new model that advances both coding and professional reasoning. It achieves state-of-the-art results on SWE-Bench Pro, Terminal-Bench 2.0, and OSWorld, while supporting dynamic user interaction and long-running autonomous tasks. GPT-5.3-Codex builds complex web apps, creates professional documents, and enables real-time steering within the Codex app. It also introduces major cybersecurity safety measures and is the first OpenAI model classified as High capability for cyber-related tasks. OpenAI
Claude Opus 4.6 Launches with 1M Token Context and Advanced AI Capabilities: Anthropic has released Claude Opus 4.6, its most advanced model to date, featuring a 1M token context window (beta), improved long-context reasoning, and state-of-the-art performance across coding, finance, and knowledge work tasks. It surpasses GPT-5.2 by 144 Elo points on GDPval-AA and sets new benchmarks in agentic coding and search. New developer tools like adaptive thinking, effort controls, and context compaction enhance flexibility, while Claude in Excel and PowerPoint enable deeper productivity for enterprise users. The model also includes upgraded safety systems and cybersecurity probes. Anthropic
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