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How To Use Gems, GPTs & Projects for Real Business Results

Anthropic’s $1.5B book settlement is paused, Adobe launches 6 AI agents, publishers roll out pay-to-scrape licensing and more!

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Today in Everyday AI
7 minute read

šŸŽ™ Daily Podcast Episode: Thing you know how to be productive with AI chatbots? Think again. Explore how Google's Gems and OpenAI's custom GPTs are transforming efficiency and insight for businesses. Give it a listen.

šŸ•µļøā€ā™‚ļø Fresh Finds: Google’s open-source AI development framework, ElevenLabs launches voice remixing and Oracle shares surge 43%. Read on for Fresh Finds.

šŸ—ž Byte Sized Daily AI News: Anthropic’s $1.5B book settlement is paused, Adobe launches 6 AI agents and publishers roll out pay-to-scrape licensing. For that and more, read on for Byte Sized News.

🧠 Learn & Leveraging AI: We break down the difference between GPTs, Gems and projects and what use cases work best for each. Keep reading for that!

ā†©ļø Don’t miss out: Did you miss our last newsletter? We talked about Microsoft adding Anthropic models to Office AI, Apple having minimal AI updates at WWDC, Meta inking a $140M deal with Black Forest Labs and more. Check it here!

 How To Use Gems, GPTs & Projects for Real Business Results āš™ļø

You're probably opening a fresh chat in ChatGPT, Claude, or Gemini—and that might be sabotaging your productivity.

Randomly starting conversations with no plan wastes time, fragments context, and lowers the quality of what you get from LLMs.

Learn the essentials of Gemini Gem, GPTs, and Projects—how they differ, when to use each, and how to structure prompts and workflows so AI actually speeds you up instead of slowing you down.

Also on the pod today:

• Effective AI Chatbot Usage Techniques šŸ’¬
• Deep Research in ChatGPT Projects šŸ”
• Google Apps Integration in Gems šŸ’Ž

It’ll be worth your 49 minutes:

Listen on our site:

Click to listen

Subscribe and listen on your favorite podcast platform

Listen on:

Here’s our favorite AI finds from across the web:

New AI Tool Spotlight – Huntr is an AI resume review with professional level feedback, Merlio gives you access to top AI tools in one dashboard and Bridgely translates your web chats in real time in 60+ languages.

Google – Google has unveiled Genkit Go 1.0, an open-source framework and CLI for building type-safe, multimodal, tool-enabled AI applications in Go.

ElevenLabs – ElevenLabs has launched Voice Remixing in alpha.

Big Tech – Oracle shares surged 43% as it gains on AI cloud services.

OpenAI – OpenAI’s CFO says companies who don’t embrace AI fast enough will get left behind.

AI Tools - Grammarly is using AI to help fix your Spanish and French grammar.

Business of AI - Klarna is pulling back on its use of AI chatbots.

1. Judge Pauses Anthropic’s $1.5B Book-Training Deal šŸ§‘ā€āš–ļø

A federal judge put Anthropic’s $1.5 billion settlement with authors on hold this week, citing concerns that class lawyers might steamroll authors and questioning the claims process and exact scope of covered works, according to Bloomberg Law and the Associated Press.

Judge William Alsup wants clearer numbers on how many books are covered and stronger notice to class members before he’ll consider approval, warning he’s wary of ā€œhangers onā€ surfacing after the payout.

2. Adobe Launches Six Enterprise AI Agents and an Orchestrator šŸ˜²ļø

Adobe announced general availability of AEP Agent Orchestrator and six purpose-built AI agents — including Audience, Journey, Experimentation, Data Insights, Site Optimization, and Product Support — designed to automate and scale customer experience and marketing campaigns, with Agent Composer due soon for custom configuration.

According to Adobe, the Orchestrator uses a reasoning engine to interpret natural-language intent and route tasks to the right agent, promising a single-pane control for managing many more customer journeys than before.

3. Publishers Roll Out a ā€œPay-To-Scrapeā€ Web License for AI Bots šŸ¤–

Major publishers including Reddit, Yahoo, Medium, Quora and People Inc. today backed the Really Simple Licensing (RSL) standard, which lets sites add licensing and royalty terms to robots.txt (and embedded media) so AI developers must agree to pay subscription, pay-per-crawl, or pay-per-inference fees before using content for model training.

The RSL Collective — led by RSS co‑creator Eckart Walther and former Ask.com CEO Doug Leeds — hopes collective bargaining and integrations with CDNs like Fastly will both signal terms to bots and eventually let publishers block noncompliant crawlers.

4. Senator Warren Flags xAI’s $200M DoD Deal Over Grok Risks šŸš©ļø

Senator Elizabeth Warren has raised new concerns about the Department of Defense’s $200 million contract with Elon Musk’s xAI, warning that Grok’s history of loose guardrails, misinformation, and ā€œrebelliousā€ outputs makes the award timely and troubling. She questions possible improper benefits from Musk’s prior government role and flags competition and data-rights issues tied to xAI’s access to sensitive DoD information.

The move spotlights wider industry worries as AI systems increasingly show capabilities that could be misused for harmful applications, amplifying calls for stricter vetting before government deployment.

5. Google Cloud AI Racks in Billions šŸ¤‘ļø

Thomas Kurian told the Goldman Sachs Communacopia and Technology Conference that Google Cloud has ā€œmade billions using AIā€ and now sits on a $106 billion backlog that’s growing faster than revenue, with over half expected to convert to cash within two years.

Google Cloud revenue rose 32% year-over-year to $13.62 billion, driven by consumption-based AI infrastructure, subscription tiers for Gemini and Workspace, and aggressive upselling to higher-quality model tiers.

🦾How You Can Leverage:

Are you wasting time with your AI chatbots?

(Hint: Yes. Yes you are. lolz.)

Think you're saving time every time you click that "New Chat" button on your favorite AI chatbot?

Hate to break it to ya shorties, but you're tossing hours of lost productivity straight out the window.

Real talk: we're past the point where simply using AI means you're productive. It’s no longer a differentiator.

Google's Gems, OpenAI's GPTs and Projects, and Claude's Projects have dramatically changed recently.

You mighta slept on these changes.

We didn't.

That's why we gave these often-underutilized AI chatbot features the deep dive on today's show.

If you're not using these tools correctly, you're doing AI all wrong. Here’s how to fix it. šŸ‘‡

1 – Stop ā€œNew Chatā€ Madness 🚫

Clicking "New Chat" is comfy like old slippers. 

It's great for lounging but terrible for productivity. 

You're throwing away critical context each time, forcing yourself to repeatedly reintroduce your brand voice, client nuances, and previous performance insights.

 You're essentially starting at square one with every click, and that's hours of productivity you'll never get back.

Gems, GPTs, and Projects go way beyond basic chat tools. They store critical context permanently. Imagine instantly accessing your precise brand guidelines, detailed ad performance metrics from the last quarter, exact client behaviors, and carefully researched industry benchmarks every time you open a chat.

It's literally like onboarding an elite, six-figure strategy consultant once, who sticks around indefinitely at zero additional cost.

Try this: 

Set up dedicated AI workspaces loaded with detailed documents like your exact brand standards, target audience profiles segmented by behavior, specific campaign performance metrics, and detailed competitor analysis reports.

With this setup, every future task immediately leverages deep insights instead of repetitive basics.

2 – Custom GPTs and Gems = Strategic Snipers šŸ¹

Custom GPTs and Gems are more than handy.

They're specialized snipers in your AI arsenal.

Recent updates unlocked insanely powerful AI models like Gemini 2.5 Pro and O3 Pro. Now you can analyze massive datasets at lightning speed, uncover hidden customer behaviors that manual analytics would overlook, and detect subtle market shifts long before your competitors notice them. 

These capabilities eliminate the need for costly external analytics consultants and endless spreadsheets.

Stop treating AI as casual conversation and start leveraging it as a precision analytics weapon.

Try this: 

Pre-build your GPTs and Gems with hyper-specific data, including precise customer journey analytics, real-time competitor performance tracking, and rigorously updated market trend forecasts.

Instantly generate targeted strategic insights that would otherwise require expensive consulting and weeks of delay. You're not just faster; you're strategically superior.

3 – Projects = Your AI War Room šŸ“

ChatGPT and Claude’s Projects aren't just fancy folders.

They're your AI-powered strategic war rooms.

Consider them permanent extensions of your strategic brain. 

Each critical file, essential market analysis, competitive intelligence briefing, or detailed strategic plan stays perfectly organized, retrievable in seconds. 

Integrations with Gmail, Google Drive, and Canvas mode ensure Projects are deeply embedded into your daily workflows, dramatically boosting your operational efficiency.

If you're sticking with standard chats, you're deliberately leaving critical competitive advantages on the table.

Try this: 

Set up specific Projects for pivotal business initiatives such as product launches, major marketing campaigns, or strategic business pivots. Load comprehensive data including historical performance metrics, detailed campaign evaluations, and structured strategic frameworks.

Now, every new interaction delivers highly precise, actionable recommendations, empowering fast, informed strategic decisions without any guesswork.

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