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:
The Menu command for smarter GPTs
A framework to turn simple AI experiments into automated operating systems
🗞️ Industry news from ElevenLabs and Google
The "Slash Menu" Interface
One of the biggest hurdles in using custom GPTs is remembering what to ask.
Maria Anderson recently shared how you can solve this by telling the AI that whenever you type "menu" or "/menu," it must output a formatted list of its primary functions (e.g., Monthly Review, Purchase Decision, Confidence Boost).
To implement this, you’ll need to add a specific block of logic to the Instructions section of your GPT builder:
Command: Menu
Whenever the user types “menu” or “/menu”, you must ignore all other tasks and immediately output a formatted “Command Menu.”
The menu should be presented as a clean, bulleted list of your primary functions, such as:
● Monthly Review: [Brief description of what this does]
● Purchase Decision: [Brief description of what this does]
● Confidence Boost: [Brief description of what this does]
After the list, ask the user: “Which would you like to start with?
This transforms a blank chat box into a structured tool that any team member can navigate.
Programming custom menus is just the tip of the iceberg. In the AI Business Society, we go under the hood of custom GPTs every month to show you exactly how to write instructions that stick. Join us and stop guessing what to prompt. Explore the AI Business Society.
Don’t Just Use AI—Be the Expert
Stop watching the AI revolution from the sidelines. Your company doesn't need another user—it needs an AI leader. It’s time to be the AI expert your company can’t live without.
At AI Business World, we move beyond the hype to deliver actionable frameworks you can implement right away. Master everything from automated content workflows to high-level data strategy, as you learn from the industry’s top minds.
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Transform into the AI expert your team needs.
How to Gain Superpowers With AI
Operationalize to Turn AI Skills Into Systems That Are Used Daily
Tim Cakir cites a McKinsey report that said roughly 95% of AI pilots fail in what he calls pilot purgatory. Companies develop a proof of concept, see that it works, and then never actually deploy and integrate it into how people do their jobs every day.
You not only have to embed AI workflows into the tools and rhythms your team uses, but you must also provide proper training on how those workflows change the way work was done previously, how they function, and what to do when they don't behave as expected.
Tim recommends running internal innovation competitions to find operationalization wins. The format is simple: challenge team members to find a way to reduce a time-consuming task using the tools they now have access to. These competitions create peer-to-peer learning, surface unexpected use cases, and generate buy-in from people who discover the value themselves rather than being told about it.
Practice to Habitualize AI Use
Operationalization installs a system. Practice is what makes it stick. Tim describes this stage as habit formation combined with validation; continuing to use the workflows you've built until they become second nature, while simultaneously tracking where the value is actually landing.
These three tips will help your team form habits that rely on AI.
Validate
The first few weeks of using a new AI workflow are a learning phase. Catching issues early allows you to refine the underlying skill or prompt rather than letting a flawed process run unchecked.
Tim recommends paying close attention to output quality during this period to ensure not just whether the system runs, but whether it's producing work that meets your standards. Run the system several times while actively checking the output.
When you've confirmed it consistently produces reliable results, you can step back from verification.
Cross-Pollinate
One of the most powerful dynamics in the practice phase is team-level sharing.
When one person figures out a faster way to produce a deliverable, Tim encourages making that discovery visible to colleagues. Seeing a teammate turn a two-hour task into fifteen minutes is far more motivating than any top-down training session.
The organic spread of effective workflows through a team is where the real transformation begins to take root.
Tools to Build Personal AI Shortcuts Into Your Physical Workflow
Tim has developed a voice-first approach to his practice that dramatically accelerates the time it takes for his thoughts to become usable output. He uses AquaVoice as his primary dictation tool—though he notes that Flow (formerly Wispr Flow) and Superwhisper are equally viable alternatives, and several other options exist in this category.
A single tap and hold on the function key activates dictation without showing a transcript, which is useful for quick AI queries.
A double-tap locks the recording mode with a visible transcript, which he uses for longer-form thinking. He'll dictate a ten-minute stream-of-consciousness about a quarterly strategy, and the AI structures it into a clear, organized plan. What would have taken thirty minutes to type takes eight to ten minutes to speak.
He also uses Raycast, a Mac tool that replaces Apple's Spotlight search, as a command center for AI access. From the same keyboard shortcut (Command + Space), he can call any large language model, send WhatsApp or Telegram messages, search the web across ten sources simultaneously, and even control Spotify—all without switching apps.
Other topics discussed include:
Align Your Why and Your Vision With Your Tools
Develop AI Capability Skills
Transform by Building Governance and Scaling What Works
Using Claude Code to Operationalized Newsletter Production
Today's advice provided with insights from Tim Cakir, a featured guest on the AI Explored podcast.
Reclaim 8+ Hours Every Month—That's a Full Work Day Back!
What if you never had to schedule another feedback meeting?
With NoteGo, you record your screen, mark up exactly what needs to change, and AI automatically creates summaries, chapters, and key moments. Your team gets it right the first time—no clarification calls needed.
It only takes 41 seconds to see how it works. Ready to ditch the meeting?
Yes, show me NoteGo in action.
ElevenLabs Launches ElevenMusic App: The new iOS app enables users to create, remix, and discover AI-generated music using simple text prompts with features resembling traditional streaming platforms and flexible generation controls. TechCrunch
Google Launches Offline AI Dictation App with Smart Editing Features: Google has quietly released Google AI Edge Eloquent, a new iOS dictation app that performs on-device transcription using Gemma-based models, enabling offline use. Beyond basic speech-to-text, the app refines transcripts by removing filler words and offers multiple formatting options, with optional cloud enhancements powered by Gemini. The move positions Google to compete in the growing AI productivity space while advancing local-first AI capabilities. TechCrunch
Google Vids Adds Free AI Video Generation, Music, and Avatars to Simplify Content Creation: Google is expanding Vids with powerful AI capabilities, including free video generation, custom music creation, and fully controllable avatars. By integrating tools like Veo 3.1 and Lyria, alongside seamless recording and YouTube publishing, the platform aims to make high-quality video production faster, more accessible, and scalable for everyday users and professionals alike. Google
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