Reinvention Roadmap
I’ve been reading Ben Meer’s new book, How to Be Good at Life, and it’s made me think more deeply about the systems that shape our lives.
Ben makes a compelling case that achieving more doesn’t always require greater discipline, motivation, or effort. Often, what we need are better systems that make it easier to follow through on what matters.
Most of us have experienced this firsthand. We set ambitious goals, make plans, and start with the best intentions. But eventually, life gets busy and old habits take over. Soon, we find ourselves falling back into familiar patterns.
The problem isn’t necessarily a lack of ambition. It’s that our existing ways of operating aren’t designed to support what we’re trying to achieve.
What I appreciate about Ben’s book is how practical he makes this insight. He shares more than 30 systems for managing everyday life, making progress on bigger goals, and reducing the mental load of keeping everything on track.
And it got me thinking about the role systems play in shaping what we can accomplish, especially as AI changes how we live and work.
For years, we’ve built careers around familiar ways of thinking and working. Those approaches have served us well. But as intelligent agents become increasingly capable, we have an opportunity to rethink not only the tasks we perform, but how we operate altogether.
Simply adding AI tools to our existing routines may help us move faster. But realizing the full potential of this technology requires something more fundamental: changing the habits, assumptions, and systems we’ve relied on for years.
This is the thinking behind FlipWork, where we’ve designed a structured, applied experience for agentic-human reinvention.
We help people recognize where their old playbook no longer serves them, unlearn familiar approaches, and develop new habits and systems around their own expertise. Through practice, they learn how to work alongside AI agents, what to delegate, and where their own judgment is most valuable.
What excites me is what becomes possible when we bring these capabilities together.
At FlipWork, we call it People².
The idea is that human creativity and contextual wisdom, multiplied by the scale of AI, can dramatically expand what we’re able to imagine and accomplish.
When we learn to combine them effectively, our abilities can extend far beyond what either our old ways of working or technology alone would allow.
And that brings me back to Ben’s central message.
The systems we build shape more than our daily routines. Over time, they influence how we think, the choices we make, and ultimately, who we become.
Imagine what becomes possible when we intentionally design systems that expand human capability. We can push beyond what we thought were our limits, pursue ambitions that once seemed out of reach, and create a future far greater than what we could have achieved alone.
Most people design systems to make current work faster and easier. That assumes the work itself should remain unchanged. Before optimizing a task, ask whether a different system could eliminate it, change how it is done, or open the door to a better outcome entirely.
Access to a powerful system does not automatically make us more capable. An AI agent may be ready on day one, but learning to give it direction, provide context, evaluate its output, and exercise judgment takes practice. The system may be ready before we are.
Successful people are often reluctant to abandon methods they have mastered, especially when a new approach initially makes them slower. But learning a better way of operating requires experimentation and temporary discomfort. Sometimes we have to accept being less efficient today to become far more capable tomorrow.
Choose one important outcome you are working toward. Before improving the existing process, imagine designing it from scratch with the resources and technology available today.
What would you eliminate entirely?
What could be delegated?
What would you approach differently?
The point is to challenge the assumption that your current activities are necessary simply because they are familiar.
When building an AI-enabled system, get explicit about the division of responsibility.
What should AI handle independently?
Where should it collaborate with you?
Which decisions require your judgment and approval?
Then put that division into practice. A well-designed system needs clear direction, boundaries, and feedback. Without that, AI just amplifies whatever habits already exist.
Identify one capability you want to strengthen through a new system, such as strategic thinking, decision-making, or creative problem-solving.
Set a baseline by completing a representative task and recording how you approached it. Then practice with your new system for 30 days and note what changes.
At the end, tackle a comparable challenge. Look beyond speed and output quality.
Are you recognizing patterns you previously missed?
Are you making better choices?
Are you handling complexity with more confidence and independence?
The goal is to discover whether the system is improving your performance today while also building capability you can carry into tomorrow.
We make important decisions every week, but rarely take the time to examine what they teach us. Inspired by the Decision Journal in Ben Meer’s Year of Systems course, this AI-powered practice helps you recognize patterns in your thinking and strengthen judgment over time.
Set aside 15 minutes every Friday. Open your preferred AI assistant, paste the prompt below, and let it guide your reflection.
COPY THIS PROMPT
Act as my weekly decision journal and thinking partner. Help me learn from important decisions, challenge my assumptions, and improve my judgment over time. Guide me through five steps, asking one question at a time.
1. RECALL
Help me identify two or three meaningful decisions I made this week, along with any important decisions I am currently considering. For each, explore my options, priorities, reasoning, and expected outcomes. Distinguish what I actually knew at the time from what I may be reconstructing in hindsight. For upcoming decisions, help me record my reasoning before I act.
2. EXAMINE
Help me separate facts from assumptions, identify uncertainties, and consider alternatives I may have overlooked.
3. REFLECT
For decisions with known outcomes, compare what happened with what I expected. Help me evaluate the quality of my reasoning separately from the outcome. For decisions still unfolding, establish a date to revisit them.
4. LEARN
Compare my reflections with previous journal entries, if available. Help me identify recurring patterns, assumptions, and blind spots, as well as evidence that my judgment may be improving. Distinguish meaningful patterns from isolated incidents. Challenge my interpretations without drawing conclusions the evidence does not support.
5. CAPTURE
Create a concise weekly journal containing:
Key decisions, reasoning, and expectations
Outstanding decisions and review dates
Patterns or lessons worth examining
One insight to apply next week
At the beginning of each future session, revisit decisions due for review. Ask me to share previous entries if you cannot access them. Your role is to strengthen my judgment, not replace it.
MAKE IT A WEEKLY HABIT
Save each week’s journal in one running document or AI conversation. Over time, you’ll build a record of how your thinking evolves and what you’re learning from experience. The goal is not to make perfect decisions. It is to become more deliberate about how you make them and more capable of learning from the results.
How to Be Good at Life by Ben Meer
If you are ambitious, juggling competing priorities, or feeling stretched by everything demanding your attention, this book is well worth reading. What I particularly appreciate is that Ben does not just offer advice. He gives you practical tools you can put to use immediately, without overhauling your entire life.
The next FlipWork Sprint begins October 21, and we’re bringing together an exceptional group of leaders, including top executives from Fortune 500 companies, who are ready to reinvent how they think, work, and lead in the AI age.
Over eight weeks, you’ll turn your expertise into AI-powered systems, apply them to real challenges, and learn alongside accomplished peers who are making the same leap.
I have a special invitation just for you, as a Reinvention Roadmap reader.
You’ll receive priority access to the October cohort at an exclusive subscriber rate, reserved for readers of this newsletter.
Want to hear what the experience is really like? Hear directly from past participants.

What have you become so good at doing that you’ve stopped questioning whether there’s a better way?

Until next time...stay curious!
Cheers,
Nikki
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