From Experiment to Reality: My First AI Tool Is Live

Learn — The Value of Playing with AI

Remember last week when I wrote about navigating the AI wave without drowning?

About giving myself permission to experiment, to mess up, to be a beginner again?

Well, this week something clicked.

Not just another experiment—a real breakthrough.

I successfully connected Claude AI to Notion through Anthropic's Model Context Protocol. What started as curiosity became the foundation for something bigger: my first shipped AI tool.

The integration transformed my workflow entirely. Instead of clicking through multiple Notion pages and databases, I can ask Claude: "Pull insights from my project tracker" or "Create a weekly summary from my content pipeline." It's like having a personal assistant who understands exactly how my systems work.

But here's what matters: This wasn't just about productivity. It was proof that the experimental mindset works.

User acquisition isn't getting easier. Media costs keep rising, algorithms shift unpredictably, and channel fatigue hits harder every quarter. Traditional approaches—manual testing, gut-driven decisions, slow optimization cycles—aren't enough anymore.

Yet most UA teams are still stuck in reactive mode. Gathering data instead of making decisions. Guessing instead of predicting.

This week showed me how AI can change that equation entirely.

Optimize — From Data Overload to Clarity

The future of effective UA management isn't more manual work—it's smarter systems.

After integrating Claude with Notion, I realized something: The biggest constraint isn't lack of data. It's lack of clarity about what's actually constraining growth.

So I built something about it.

The UA Constraint Finder

My first shipped AI tool that helps UA teams identify their primary bottleneck in minutes, not months.

Is it creative fatigue? Audience saturation? Budget allocation inefficiency? Attribution delays?

Most teams spend weeks analyzing this. The tool gives you answers in 3 minutes.

Here's why this matters:

• Claude + Notion Integration: Conversational workflow automation. Ask questions naturally, get strategic insights instantly. No more dashboard juggling.

• UA Constraint Finder: Systematic bottleneck identification. Stop guessing what to optimize next. Start with clarity.

These aren't just technical experiments anymore. They're solutions designed for UA leaders who demand precision in decision-making.

The shift from experimentation to implementation happened faster than I expected. One week of focused building, and I moved from theory to tool.

Grow — Why This Is Just the Beginning

Every growth leader I speak to agrees: Efficiency is the new competitive advantage.

But efficiency without direction is just busy work.

Real Leverage Is Clarity

• Identify constraints before they cap your growth.

• Predict bottlenecks before they impact performance.

• Build systems that compound value over time.

This is why I'm committing to shipping one small, valuable AI tool every week. Not because I need to catch every wave, but because systematic building creates sustainable advantage.

Start Here

If your UA team spends more time gathering data than making decisions,

or if you’re constantly asking what should we optimize next,

start here:

Try it now: UA Constraint Finder (3 minutes)

This is my first shipped AI tool. It's simple, focused, and designed to solve one specific problem: constraint identification.

Let me know which constraint it highlights for your operation. Your feedback shapes what I build next.

Final Thought

Last week I wrote about staying grounded while everyone's racing to automate everything.

This week I learned the difference between racing and building.

Racing is reactive.
Building is intentional.

We're in the best possible moment for thinkers, builders, and systems people.

The question isn't whether to embrace AI—it's how to build with it strategically.

One tool at a time.
One constraint at a time.
One breakthrough at a time.

Here's to building the wave the right way.

— Daniel

PS: What's one constraint you've been struggling to identify in your UA operations? Reply and I'll share what specific questions helped me isolate it.