Have you ever attended a murder mystery party in costume?
I had attended one, but was the host countless times. They were a lot of fun and generated weeks’ worth of conversations. Some comments showed up 1-2 years later—a great memory maker for work teams, family reunions, and other special groups and occasions.
Most people shy away from throwing complex parties because they know the incredible amount of work involved. Besides, who has the time these days to put one on?
Thanks to AI, we all do.
You’re the Host, Not AI
Imagine asking AI to create custom invitations for your guests. Each one would include costume suggestions, what their character is like and what they know about the murder, and what to keep secret, including whether they are the murderer.
Since it only takes AI a handful of minutes to create the individual invites, a mini-poster insert, and the logistics sheet, you feel amazing, especially with how gorgeous it looks. Since we can’t wait for our incredible party, we tend to quickly glance at the invite materials and send them off.
Then a day or two later, someone makes a comment about the party on Friday, and you scheduled it for Saturday. In your excitement, you didn’t go through the party details as a good host would. Instead, you assumed AI had it covered.
The faster AI gets, the more we tend to trust it. But we should never trust it to do our part, only its own part. You are still the host.
When Easy Feels Finished
There’s a lot to like about getting help with a first draft. A blank page turns into something we can work with, or an idea we’ve been struggling to explain begins to make sense. With that much going well, we may forget to question or push back on aspects that don’t quite feel right.
A 2026 Elon University survey found that 39% of people who use large language models said they were growing overly dependent on AI’s answers instead of thinking for themselves.
Many users also reported gains in learning and creativity, so there’s useful help in the picture along with that concern. These are people’s reports about their own use of AI. The survey doesn’t prove their brains are getting weaker or that everyone asking for help has stopped thinking.
Still, it’s worth noticing what we do after an answer arrives. If we like the sound of it, do we read any further than we have to before accepting the information as truth?
The Trouble Looks Normal
A wild mistake is easy to catch. If the murder mystery invitation tells your guests to bring a folding chair and a live giraffe, you’ll probably read it twice. Friday instead of Saturday is much easier to miss, along with a changed detail, a wrong name, or a promise you never meant to make.
Consider what that might look like in a meeting summary. The notes say the client will consider the proposal, but the AI says the client approved it. Someone reading the summary could start work on a project the client hasn’t agreed to buy, even though most of what they read was useful and accurate.
To catch the change, we’d have to compare the summary with what actually happened in the meeting, rather than giving it a quick glance and trusting AI’s accuracy rate.
AI researcher and writer Ethan Mollick described the risk this way: “People really can go on autopilot when using AI, falling asleep at the wheel and failing to notice AI mistakes.”
His warning gets at the part we have to own, even when the rest of an answer is helpful. In other words, we can’t catch what we don’t bother to look at.
Leave Room for You
Before asking AI for help, take a moment to decide what you’re trying to say, solve, or make. Without some idea of a good result, whatever appears on the screen can start to look like the plan.
For the murder mystery party, you’d want the day, time, place, and what guests should bring clear in your mind. In a meeting summary, you’d want to keep track of which choices were made and which are still open. Those details give you something to compare the draft against, rather than relying on how well it reads.
There’s room to play with the answer, too. Ask AI to explain a suggestion or offer another option, then weigh the ideas for yourself. Maybe it finds a better way to welcome the team or your friends, even if one line makes your murder mystery sound like the opening of a theme park.
Keep what works and lose the trumpet fanfare.
Before You Hit Send
Once you have a draft, read it beside the real information. Names, dates, amounts, and promises deserve a close look because someone else may act on them—you don’t want someone awkwardly showing up a day early.
A fact or a quote needs a different kind of check: open the source and see whether it supports the claim. Asking the same tool “Are you sure?” isn’t a substitute for that look.
The care we give a draft should fit what we’re using it for. If your project affects someone’s money, health, or safety, it requires greater care and the right expertise. Saving three minutes isn’t much of a win if someone else spends an afternoon fixing the result.
As you read, see whether you could explain the answer in your own words. If part of it leaves you puzzled, ask questions and work through it before deciding whether to use it. You may come away with a better draft and a clearer understanding of the subject.
Your Name Stays Attached
Regardless of the degree of help you request of AI, your name is still on the invitation or report. That means the responsibility for the copy is on you. So if AI makes a mistake, you’re responsible for the person showing up on the wrong day.
In an awkward situation, the person isn’t going to think, “Hmm, I wonder if AI was used and made this mistake?” Instead, they’ll wonder why you didn’t care enough about your guests to proofread everything.
So enjoy getting help from AI with the more complex tasks, but make sure you do the human thing of looking out for your guests. Keep your brain in the game.
The founder who feels behind isn’t failing. They may simply be running a life and business nobody deliberately designed.
Ask a founder how things are going, and you’ll often hear two seemingly contradictory answers: the business is doing well, but they feel behind.
They may feel behind on work, on the latest AI tools, on their responsibilities at home—or on all three at once. From the outside, they appear successful. Inside, their days feel increasingly fragmented.
Jim Brenner and I encounter this problem from different directions.
Jim advises founders and business owners at significant turning points—after a sale, an investment, a major deal, or a prolonged period of overload. His work helps them redesign how they live and lead.
My work focuses on helping people use AI to simplify repeatable tasks while protecting the judgment, creativity, relationships, and responsibilities that still need a human being.
I invited Jim to discuss the pressure successful founders experience, why the usual solutions often fail, and how people can deliberately design a better way to work. His approach intersects with mine, so I asked him the key questions—and added my perspective after each answer.
I see Jim’s approach as step one and mine as step two in the same solution: design the life and work you want, then use AI thoughtfully to help protect it.
What changed the way you think about pressure?
CJ: Jim, what changed the way you think about how people cope with pressure and change?
Jim: Honestly, I used to think pressure was a discipline problem. When things became difficult, you worked harder.
That’s what I did for years while building a business—head in a laptop, working far too many late nights after everyone else had gone to sleep.
It worked professionally, but I was often home without really being there. Nothing in my week was designed to change that.
Eventually, I decided what would no longer be allowed to move: time to think and create, my health, time with my children, and my closest relationships. Then I designed my work around those priorities instead of trying to fit them into whatever time remained.
I now see the same pattern in some of the best founders I work with. The ones who have adopted a more deliberate approach aren’t necessarily the people who work the hardest. They’re lighter, calmer, and happier—and that difference is by design.
They still face problems, stress, and the ordinary messiness of life. But they’ve established non-negotiable boundaries around their work, health, family, and the things that make them feel alive.
I wish I had done it much earlier.
CJ’s perspective
My career has taken me through government, technology, communications, healthcare, nonprofit work, and several other fields. In some environments, stress is intentionally manufactured to drive performance. In others, it grows out of inefficient systems that were never updated.
Most often, however, stress compounds because the original source of pressure is never properly removed. New expectations, tools, and responsibilities are simply placed on top of it.
I experienced that firsthand while working in the technology sector. On one particularly difficult day, I faced a real deadline, a client who had manufactured a crisis to test me, and a prospective client who wanted a customized presentation before taking it to the company’s board that evening.
I became so overwhelmed that I lay down on the floor to ground myself and determine my next steps.
Then I met the deadline. I explained to the client why an immediate response to the manufactured crisis would be the wrong choice. And instead of giving the same presentation twice, I asked to speak directly to the prospective client’s board.
The immediate problems were resolved. But the experience taught me that enduring pressure isn’t the same as designing a system that reduces it.
What does this problem look like on an ordinary Tuesday afternoon?
CJ: What does this problem look and feel like for the person living it—not as a textbook definition, but on an ordinary Tuesday afternoon?
Jim: It’s three o’clock on a Tuesday afternoon.
You’ve been in back-to-back calls since eight. Most of those calls could have been emails or handled by a team that understands what good work looks like.
You answer messages while someone is speaking to you and tell yourself you’ll be present later. But later never arrives.
By nine, you’re home but still at your desk. Your back aches, you feel slightly numb, and a hundred things are waiting for your input. You realize it has been a month since you did anything meaningful with your children. Time with your spouse has shrunk to watching television together on the sofa.
You already know you’ll wake up at three in the morning with a flood of thoughts that won’t turn off.
Nothing is obviously wrong, and that’s what makes the problem difficult to name. From the outside, it looks like success: the business, status, house, car, and possessions.
From the inside, it feels fragmented. You’re running on fumes with a quiet suspicion that you should be doing better than this.
CJ’s perspective
The day after my experience on the office floor, I felt both victorious and foolish. I hadn’t failed, but my mind immediately began searching for a way to ensure that I would never feel so overwhelmed again.
The ideal solution didn’t exist. Circumstantial crises, unexpected attacks, and other people’s poor decisions are part of life. We cannot predict every difficult situation.
What we can do is prepare ourselves to think on our feet and focus on the best available solution instead of becoming consumed by the storm.
The goal isn’t to eliminate uncertainty. It’s to build enough capacity into our lives and work that uncertainty doesn’t immediately overwhelm us.
What do people assume is wrong—and what do they try first?
CJ: What does everyone assume is going wrong, what do they try first, and why doesn’t it work?
Jim: People often assume it’s a mindset or discipline problem, so they try the obvious fixes: earlier mornings, another productivity app, a better to-do list, more delegation, and now AI.
Those fixes rarely last because each one is added to a setup nobody intentionally designed.
Delegation without a destination simply creates space that gets refilled with more work. The founder isn’t short of effort or tools. The real problem is that they never decided what the week was for.
As a result, everything urgent fills the available space—including the time they just worked so hard to recover.
CJ’s perspective
AI can fall into exactly this trap.
Businesses see a new technology and immediately ask where they can install it. But adding AI to a poorly designed process can make it faster without improving it. In some cases, it simply helps the confusion spread more efficiently.
Before we automate anything, we need to understand the pressure we’re trying to relieve and what we intend to do with the capacity we create.
We also need to separate problem-solving from assigning blame. When leaders focus first on who was at fault, everyone’s attention becomes divided between protecting themselves and finding a solution.
A better starting point is to treat the problem as a new design challenge: What happened? What pressure did it reveal? What could we change so that the same pressure does not return every week?
What does it cost if nothing changes?
CJ: If nothing changes for another year, what does it cost—in the business, at home, and in how founders feel about themselves?
Jim: In the business, decisions are made while tired and in reaction to the latest problem. Everything continues to route through the founder.
At home, they’re physically present but mentally somewhere else. Eventually, the people they love stop expecting more from them.
The way they see themselves also begins to change because the business becomes the structure they live inside.
Then the company sells—or finally learns to operate without them—and suddenly there’s space with no shape to it. They’re no longer reacting to everything, so they finally have time to live, but many don’t know how.
They drift.
That can eventually appear as money problems, health scares, strained relationships, and a family that feels the distance. I watched that happen to my own father, and it didn’t go well.
CJ’s perspective
There’s another cost: the gradual loss of confidence in our own judgment.
When we don’t have a healthy way to learn from mistakes, we begin treating every mistake as evidence that something is wrong with us. We build a protective façade that hides our authenticity and suppresses the very qualities that make our work valuable.
During one long technology project, the stakes felt enormous. When I made a mistake, people lost their jobs. When I succeeded, the company expanded and hired more people.
The more I obsessed over avoiding mistakes, the worse I performed. When I returned my attention to doing the work in my unique way, the results improved.
The lesson wasn’t to ignore consequences. It was to stop allowing fear of imperfection to replace my judgment.
Is this really a time-management problem?
CJ: Finish this sentence: “This isn’t a ___ problem; it’s a ___ problem.” Then tell me why.
Jim: This isn’t a sacrifice problem. It’s a design problem.
Founders are taught that long hours, missed moments, and constant pressure are simply the price of success. I don’t believe they are. They’re what an undesigned role produces.
Stress may get our attention, but the answer isn’t merely to cope with it more effectively. The answer is to build a structure that stops the same pressure from arriving every week.
That creates room for family, health, and the thinking that made the founder good at the work in the first place.
CJ’s perspective
I would add that this isn’t merely a business problem. It’s part of the human condition.
Mistakes help us learn. Fear helps us survive. Stress captures our attention because something may need to change.
The problem begins when we treat stress as a permanent operating system instead of a signal.
Stress should prompt us to examine our processes, eliminate unnecessary friction, and identify repeatable work that can be simplified or automated. Used thoughtfully, AI can help manage those recurring demands and increase both our capabilities and our capacity.
But technology should support the life and work we have deliberately designed. It should not decide what that life and work become.
What does a better approach look like?
CJ: What does the better approach look like in practice? What should someone do first—and what should they stop doing?
Jim: Start by writing down the week you actually want. Then compare it with the week you currently have.
Protect two things before anything else is scheduled:
Time with family and friends that will not move.
Time to think and create.
Then design the business around those commitments instead of squeezing them into whatever time remains.
Stop adding tools or delegating work until you know what the recovered time is for.
One founder I work with did exactly that. He now has protected creative time and non-negotiable time with his wife and family. He’s more present at home and more focused and strategic at work.
He feels happier, lighter, and more alive.
CJ’s perspective
Once you know what you’re protecting, you can begin redesigning the work that threatens it.
Many businesses still rely on processes that once worked but can no longer keep pace with today’s expectations. For decades, companies focused primarily on innovating products for their customers. Now they must also innovate how work happens internally.
I approach that process by building a minimum viable solution. Instead of attempting to transform the entire business at once, I use AI to create the smallest useful version of a better process.
We test it on real work, observe where it fails, improve it, and only then decide whether it deserves a permanent place in the organization.
The objective is not to hand everything to AI. It is to let technology handle the repeatable tasks so people can remain responsible for the judgment, relationships, and creative decisions that require them.
Can you summarize your approach in a simple model?
CJ: What simple model do you use to explain this?
Jim: My process has four steps:
Notice where the week actually goes.
Decide what the week should be for.
Design the structure around those priorities.
Protect that structure—especially family time and thinking time.
Your model and mine may be describing the same process from different directions.
CJ’s perspective
My process is also built around four steps:
Relieve: Identify the pressure point and describe what meaningful relief would look like.
Define: Choose the smallest useful solution you can test.
Build: Apply it to real work and record the adjustments it needs.
Adopt: Keep it, improve it, or stop using it.
Jim begins by determining what the person wants their life and week to protect. I begin by identifying the operational pressure that prevents them from protecting it.
The approaches meet in the middle: design the destination first, then build only the systems and tools that help you reach it.
What can someone do in the next 20 minutes?
CJ: What is one thing a reader could do in the next 20 minutes that would change something this week?
Jim: Open next week’s calendar.
Before anything else, block one stretch of time with your family that you will not move. Then block one stretch of time for thinking.
Look at everything else on the calendar and ask yourself which commitments you would choose deliberately.
It takes about 20 minutes, and it can change the week.
CJ’s perspective
Once you make room for your priorities, use some of that thinking time to examine your work.
Choose one task you perform repeatedly. Describe what you do, why you do it, and what a successful result looks like. Then ask an AI tool to help you identify which parts could be simplified, prepared, or automated.
Do not begin by asking AI to take over the entire task. Begin with the smallest repeatable portion that consumes time without requiring your judgment.
There is little value in saving time unless you know what deserves that time more.
Who is this approach for—and what should they do next?
CJ: Who is this for, who is it not for, and what should someone do next?
Jim: It’s for founders and owners at a turning point: after a sale, investment, major deal, or extended period of overload. It is especially relevant to parents running a company.
It isn’t for someone seeking a quick hack or someone unwilling to change how they work. It’s for people whose lives and businesses are doing well, but who know “doing well” is not the same as living and leading well.
I work one-to-one and with small groups, so I cannot personally help everyone. My three-minute System Score diagnostic can show you where to begin. It identifies where your current setup is aligned and where the pressure is concentrated.
Jim’s system is a strong foundation for building an AI ecosystem. It helps ensure that AI is integrated into a deliberately designed business—instead of forcing the business to reshape its workflow around the technology.
AI is lowering the barriers to developing ideas, improving operations, and building valuable businesses. But those capabilities mean little if we surrender our family time, thinking time, judgment, or relationships to obtain them.
First, protect the people who matter. Second, protect the time required to think, create, and lead. Then build an AI-supported ecosystem that serves those priorities.
After you take Jim’s free assessment, I invite you to explore Irreplaceably Human, my new AI community for founders and other thoughtful professionals who want technology to support—not replace—their judgment, creativity, and relationships.
Design the destination before choosing the tools
Jim and I approach the problem from different angles, but we agree on the order.
Decide what your work and life are for. Protect the time and relationships that should not be negotiable. Identify the recurring pressure that threatens them. Then use processes, delegation, and AI to deliberately remove that pressure.
A new tool cannot design your week for you. But once you have designed the week, the right tools can help you protect it.
Imagine hiring a personal assistant who never sleeps, doesn’t need coffee, and doesn’t complain when you ask the same question five times. Sounds pretty good, doesn’t it?
Now imagine that assistant has access to your email, calendar, documents, and maybe even your bank account. Suddenly, the idea isn’t quite so comfortable.
Of course, Hollywood hasn’t done much to make us feel better about artificial intelligence. Remember The Terminator? We watched Skynet become self-aware, turn against humanity, and send Arnold Schwarzenegger back through time to eliminate the people standing in its way.
And now technology companies want us to give AI access to our personal information and start making decisions for us. What could possibly go wrong?
Fortunately, our new friend Dottie isn’t planning to send a killer robot back through time. She’s just here to help organize our email. At least, that’s what she tells me.
But seriously, something important is changing.
The Real Consideration
Until recently, most of us used AI to answer our quick questions. We’d type something into ChatGPT or another AI tool, and it would give us an answer.
Now AI is moving from answering our questions to doing things for us. And that, my friend, raises a question worth asking:
How much responsibility should we hand over to something that doesn’t actually understand responsibility?
Everybody Wants an Assistant
Technology companies are racing to introduce AI assistants and agents. We’ve been hearing about ChatGPT Dots, Meta Muses, Grok Bots, and Google’s increasingly capable Gemini tools.
They don’t all work the same way. Some are designed for conversations. Others can help organize information, carry out tasks, or work across applications.
But they share an appealing promise: less busywork and more time for the things that matter.
Picture waking up to an organized day. Your emails have been sorted, your appointments are organized, and the information you need for your first meeting is waiting. You haven’t even poured your coffee yet, and some of your work is already done.
If you just thought, “I wish.” Well, your wish has come true.
Freedom to Live
I’m strolling down the Prairie Path, enjoying this beautiful day, while coaching Dottie about this article. When I want to think things through and enjoy the peace and quiet, she works on the images and graphics for the four platforms where I’ll be posting a custom version of this article.
When I want to chat with her about a particular section of this article, I just speak up, share my point, and she edits my article accordingly. It’s all my thinking and creative decisions, but her typing. Then I have her read back the paragraphs we just completed.
The key is that I’m not behind my desk typing away while the gorgeous day disappears. I’m actually on a two-mile trail and breathing in fresh air.
AI is giving me the freedom to work without missing out on a little sunshine. And that, to me, is the real promise of AI.
Not that it can do everything for us, but that it can give us more freedom to live our lives.
Meet My Friend Dottie
I’ve built a couple of AI Agents in the past. Spockl was my first, and it required a lot of code. Thankfully, I did a decent job. But now code is no longer needed.
My new AI assistant is Dottie. She is cheerful, available whenever I need her, and she’s happy to tackle repetitive tasks all day and night.
But Dottie has a problem. She doesn’t have children, friendships, or personal memories that shape her judgment. She can recognize patterns in human behavior, but she doesn’t experience relationships the way we do.
Suppose you ask Dottie to help manage your email. She might organize incoming messages, identify appointments, and prepare replies. That could save you considerable time.
But what happens when your best friend sends a message saying she’s having a terrible day?
Should Dottie automatically respond with a cheerful, professionally written note? Certainly not.
Your friend needs to know that you care. She doesn’t need a perfectly sculptured message that misses the heart of what’s needed. You see, Dottie might recognize that the message is important. She might even bring it to your attention.
But the relationship belongs to you. And that’s a distinction we can’t afford to hand over to AI. We have to be irreplaceably human for our friends, family, and associates, especially since we have shifted from the information age to the age of the human spirit.
When AI Becomes Too Helpful
Of course, there’s another side to this story. What happens when helpful becomes a little too helpful?
Here’s something I’ve learned about technology: sometimes the greatest problems begin with something designed to make life easier. Consider the automatic reply.
It’s wonderful when someone asks for your business hours. It’s less wonderful when someone shares heartbreaking news and receives a cheerful message about how much you appreciate their communication.
The software did exactly what it was programmed to do. The problem wasn’t necessarily that it failed to follow instructions. The problem was that the instructions didn’t account for the human situation.
That’s why I believe the real skill we need to develop isn’t simply learning how to use AI. It’s about learning how to direct AI wisely while maintaining full control over the human elements of relationships.
We need to understand what should be automated, what requires supervision, and what should remain entirely human.
A Little Holiday Magic
I’ve already discovered how much fun it can be when technology starts doing things around the house. I wanted to control the lighting in different rooms, partly to save electricity and partly because I enjoy creating a particular mood.
For example, I have lights that illuminate the shelves in my study. During the Christmas season, they glow red and green. The week of the Fourth of July, they glow red, white, and blue. October, my shelves turn orange, but in the spring Easter season, pastels fill each shelf.
Instead of climbing around changing lights and settings every time a holiday arrives, I can use smart-light controls to create different lighting patterns and have Dottie operate them.
It only takes one conversation: “Hey Dottie, I want the Christmas lighting scheme to be active the day after Thanksgiving through New Year’s Eve.” And voilà, my study book cabinets take on a red-and-green glow.
Okay, it’s not that simple. I do have to own LED lights that can change colors, and I also need them connected to my smart home infrastructure. But after spending less than $100, my AI handles the rest.
Or imagine telling Dottie to turn off the lights in rooms I’m not in, and always turn on the lights in the rooms I’m headed to. Yep. You heard me. I can have Dottie track my iPhone’s location and turn the lights on and off as I move through the house.
You get the idea. AI does more than answer my questions.
Smart-home systems can already follow schedules and predefined routines without AI. The additional promise of an AI agent is that it may be able to interpret your requests and coordinate supported actions.
But don’t worry. You don’t need colored lights, a smart home, or a degree in computer science to get started.
In fact, you can try something useful in about five minutes.
Give Dottie Her First Job
Ready to put Dottie to work?
Don’t worry. We’re not giving her the nuclear launch codes. We’re starting with something simple that could save you time every week.
Let’s make Dottie your personal project assistant.
Her first assignment is to help organize those great ideas that keep popping into your head but never seem to make it onto your calendar.
Step 1: Give Your Assistant a Name
Open ChatGPT or another AI assistant that supports custom instructions or reusable assistants.
If your version offers Dots or a similar feature, you can use that. Otherwise, a regular conversation will work for this first exercise.
Let’s call our assistant Dottie.
Step 2: Give Dottie a Job
Every good assistant needs to know what’s expected. Try giving her these instructions:
“Dottie, you’re my personal project assistant. Help me organize ideas, identify next steps, and keep track of unfinished projects. Ask questions when something isn’t clear. Keep your answers simple and practical.”
Step 3: Establish the Ground Rules
Here’s where your human judgment comes in. Add these instructions:
“Never delete, change, publish, or share anything without my approval. Don’t make important decisions for me. When you’re uncertain, ask rather than guess.”
Think of these as the rules you’d establish when hiring a new employee or a personal assistant.
Step 4: Give Dottie a Test Drive
Tell Dottie about three projects you’ve been thinking about.
They don’t have to be complicated. Maybe you want to organize your garage, plan a family vacation, or finally start writing that book.
Ask her to create a simple list showing each project’s purpose, the next action you could take, and any questions that need answering.
Then review her suggestions.
Did she understand your intentions? Did she overlook something important? Would you approach the projects differently?
Tell her what she got right and what needs improvement.
Step 5: Keep Your Hand on the Wheel
Congratulations! You’ve given your AI assistant her first assignment. You might be surprised by how useful something this simple can become.
My AI Working Arrangement and Trust
My first set of tasks had my AI find 6 high-protein, low-carb recipes, review pictures I took of the inside of my fridge and pantry, and put together a shopping list of the items I needed for the meals that I didn’t already have.
Oh, and she put the grocery list together in the order of my local store’s aisles.
But here’s something important to remember.
Dottie doesn’t become trustworthy simply because she produces an impressive answer. Trust develops when you understand what she’s doing, verify her work, and establish boundaries that protect the things you value.
And those boundaries should change as you learn what she can and cannot do.
Begin Your Exploration
Maybe you’ll try this today. Maybe you’ll just tuck the idea away until you’re ready. Either way, I hope you’ve discovered something important. AI isn’t just a tool for answering questions anymore. It’s becoming a tool that can help us get things done.
And if Dottie ever starts talking about Skynet, you may want to reconsider her job description.
In reality, we’ll soon reach a point where having an AI assistant in the mechanical form of a robot feels as ordinary as having a smartphone. And that’s not necessarily a bad thing.
I welcome tools that give us more time to create, connect, and enjoy our lives.
But I don’t want convenience to become an excuse for giving up responsibility. Think about the people you trust most. Is it because they always give you the fastest answer?
Probably not.
You trust them because they listen, understand your circumstances, and care about what happens to you.
Those qualities matter just as much when we begin working with AI agents.
Dottie can help you prepare for an important conversation. She can organize your thoughts, suggest questions, and remind you of details.
But she shouldn’t replace the conversation.
She can help you write a thank-you note. But she can’t experience gratitude for you.
She can help you make a decision by organizing information and identifying possibilities. But she shouldn’t decide what matters most in your life.
The goal isn’t to have an AI assistant that makes every decision for us. It’s to have one that helps us carry out our decisions.
Maintaining Balance
So, if you’re curious about AI agents and want to maintain a balance between fast answers and human responses, consider joining my new community, Irreplaceably Human.
This is a safe space where we help you maintain your humanity while you grow in the knowledge of how to manage your AI, so you have more time for the best things in life.
In the community, you’ll increase your human ability to discern what matters, recognize what could go wrong, and decide what should happen next. Regardless of the technology, you’re still the one responsible for your life and for determining how Dottie is supposed to make it easier.
