The Only Thing Missing is You
Most of what the masses think they know about new technology is wrong. They criticize from a position of ignorance, or fear, or by listening to the naysayers who would benefit from its demise. Thirty years ago, it was the Web. Fifteen years ago, it was Social Media. Now it’s AI. They see an AI app spit out words and assume it’s genius, magic, or evil, while really, AI is just two things: a computer processing model and the data it’s trained on. The model is the brain. The data is everything it’s learned from. And that’s where the trouble starts.
When you ask a model like ChatGPT to “write me a marketing plan,” it’s not reading your mind. It’s searching the entire internet in milliseconds, guessing what you want based on billions of patterns. Which means if you feed it lazy prompts and vague direction, you get exactly what you’d expect… something that sounds like everyone else. That’s why critics love to call AI “the end of originality” or “the end of the world.”
AI’s not the issue. It’s how we’re using it. Its true power for good shows up when it learns to think with you… and like you… not just for you.
Prompts, Connectors, and Context: The Evolution of Smart AI Use
If you read my blog from a few weeks ago, you know where this is going. The prompt is where it starts, but the data connection behind it is what makes the difference. When your AI is connected directly to verified, authoritative data sources…what we call connectors…it stops guessing and starts knowing. Instead of scraping the chaos of the internet, it works inside your own ecosystem, pulling insights from the same systems and datasets you trust every day.
Your company’s analytics, CRM, your cloud drives, email, project management system data, or even your Snowflake instance become part of its knowledge base, feeding it the context that defines your brand and your strategy. Suddenly, the same model that once felt like a drunk intern starts performing like a really smart best friend — fast, creative, and grounded in the truth that lives inside your own walls.
From Smart to Wise: The Promise of Artificial Intuition
But even then, something’s missing. Because data alone is knowledge without wisdom. Humans don’t just calculate… they sense. They pick up patterns, feel hunches, weigh things that don’t fit neatly in a spreadsheet. That’s intuition.
So what happens when we teach AI to do a bit of that too? Not the mystical, crystal-ball kind of intuition. But the kind that comes from experience, wisdom, and repetition. Artificial intuition is the next step. It’s what happens when we start embedding human judgment into the way AI thinks… so it can navigate uncertainty like a trusted advisor instead of a search engine.
Training AI to Reflect Your Gut, Not Replace It
This is where things get practical. If prompts are what you say to AI, then memory and projects are how you teach it who you are. You don’t have to be a programmer to do this. You just have to think like a mentor.
When I started training Webster, Trivera’s AI Assistant and Agent, I didn’t just load it with facts. I gave it my voice, my tone, my way of making decisions. I taught it what I believe about leadership, marketing, ethics, trust, and truth. I didn’t want a tool that could parrot information. I wanted an assistant that could think like me when I wasn’t in the room.
Over time, he learned. Not in a mystical sense, but through structured guidance, repeated corrections, and clearly written principles. He absorbed Trivera’s DNA, our culture, our philosophy. So when someone asks him to make a recommendation, he doesn’t just pull from a database. Webster weighs that question through the lens of how we do things around here.
Webster: Artificial Intuition in Practice
When we onboard a new team member at Trivera, we set up their own “seat” in GPT. What they get isn’t just ChatGPT. It’s Webster, the same one I trained, with all that intuition baked in.
But here’s the best part. Each new user gets to add their own wisdom, experience, and perspective. Webster learns from them, too. So instead of one-size-fits-all intelligence, we’re building a network of connected intuition, each version reflecting both my leadership and the individual expertise of the person using it.
That’s what artificial intuition looks like in action. A digital reflection of who we are, collectively and individually, guiding the work we do for our clients.
Practical application: how to add your intuition to the intelligence
So, that’s how we’re using it on a grand scale for an agency. If you’re using ChatGPT for your own work, here’s a quick, real-world way to make this more than a nice idea. Follow these examples to teach your model who you are and give it a workspace where it already knows how you think…and why…so it produces output that reflects your knowledge, wisdom, ethics, ideology, and moral compass.
1. PERSONALIZATION
Your personalization options in your profile offer several opportunities to train your GPT. “Custom Instructions” and “More About You” guide its response style and give it your professional background. But for wisdom and intuition, a memory update that your GPT will use for every single chat is as simple as opening a new chat and pasting in something like this:
“Update your memory to reflect that I approach every conversation with a mix of logic, creativity, and instinct. Clarity matters more than hype, and honesty builds more trust than cleverness. I prefer plain language, real results, and forward thinking. Your answers should reflect my judgment, not replace it, grounded in experience, guided by intuition, and shaped by conscience. Every output should be accurate, honest, transparent, and responsible, created with the same care and integrity I would expect from any trusted colleague.”
Then go to your Memory Management section to confirm that it saved what you just told it. While you’re there, browse through all the other entries it has stored and delete anything irrelevant. That keeps your memory space clear for future updates, especially when GPT-produced output misses the mark or doesn’t reflect your values. From time to time, add short memory updates that give it guardrails around ethics and tone. And if you’re using it for work, include guidance on how to stay aligned with your organization’s approved messaging and values while avoiding personal bias in its output.
2. PROJECTS
ChatGPT also lets you create Projects for recurring tasks. When you create a new project, use the setup options to tell it what you need it to do, and include the information that trains it to apply your unique perspective, experience, and ethics. Every project needs “Instructions” and “Added Files.”
The files you add will be foundational documents that are relevant to that project’s goals. Things like your PR strategy, your PPC performance goals, brand guidelines, or your stakeholder communications plan, so they persist in every chat in that project. Include any other materials that provide context or insight only you can bring.
Your Project Instructions define what happens in each new chat. Something like this:
“A new chat will begin on the first day of the month with an upload of media monitoring summaries, coverage reports, sentiment data, or meeting notes. Create a clear, honest summary of what the data shows and what it means, followed by practical, ethical recommendations for improvement. Focus on what matters most to the organization’s goals, not just what looks good in the numbers. Write like a trusted advisor: celebrate wins with humility, address shortfalls with context, and propose next steps that are realistic, measurable, and in the stakeholders’ best interest. Be transparent about limits in the data. Lead with integrity, common sense, and sound judgment.”
What you’ve just done here is give your AI a conscience and a compass… then you gave it a field to play on. Memory carries your values and decision style into every conversation. The Project holds the fixed organizational context so you don’t repeat yourself. And each new chat adds fresh facts so your GPT’s intuition can work on something real. That’s how you move from artificial intelligence to something closer to artificial intuition — output that sounds like you, reasons like you, and serves your stakeholders the way you would.
What This Means for Leaders and Clients
For leaders, this is the real promise of AI. Not automation. Amplification. When you teach AI how you think, what you value, and how you decide, it stops being a novelty and becomes a tool to leverage your human intelligence.
For our clients, it means the strategies, campaigns, and content we create with AI aren’t generic. They’re grounded in real expertise and guided by human judgment. The same gut instincts that have shaped Trivera for decades… scaled through AI that actually understands how we think.
And for you? Start treating AI like your apprentice. Not something to fear or worship, but something to teach. Show it what good looks like. Let it learn your voice, your values, your intuition. That’s how we get to the next phase… AI that doesn’t just think faster than us, but thinks faster and better with us.
