AI StrategyArticle has under 2-min AI recap audio3 min read2026-03-23

Cut the Noise, Build the Thing

Stop following AI thought leaders. Stop consuming recycled takes. Start solving real problems and shipping actual products.

Geddy
Geddy
Senior Web Engineer / Lead

Listen to under 2-min AI recap TL;DR ↓

0:00

Join the conversation

Read and Join discussion

Cut the Noise, Build the Thing

When I first started paying attention to the AI wave, I did what most people do. I followed every resource I could find, subscribed to every "AI thought leader" on LinkedIn, and even started writing this blog. I wanted to stay ahead.

Roughly a month in, something started to bother me. Everyone was posting the same thing. The same takes, the same breathless urgency — "You're already behind!" — the same recycled frameworks. It felt less like insight and more like a content mill running on anxiety.

Then I started noticing the patterns. Same sentence structures. Same expressions. Same hollow cadence. It hit me: a huge chunk of this content is itself AI-generated. The irony is thick. People using AI to write about AI to build an audience about AI. LinkedIn — and plenty of other platforms — had become bloated internet spaces full of noise masquerading as signal.

So I asked myself: where is the real value here?

And I decided to put a pause on all of it.

Build Skills, Not a Feed

While the noise kept churning, I went the other direction. I dove deep into actual projects. Instead of trying to absorb everyone's "best practices" and preset prompt bundles, I started building my own way through real problems.

Here's the only advice I'll give: stop following the noise. Focus on experimenting and building yourself.

Solve different problems. Build different proof-of-concepts — and production projects too. Web applications. Native iOS mobile apps. Fully functional, production-ready business systems. The range matters because it forces you to develop specific skills — some shared across projects, some unique to each one.

There is no magic in coding something anymore. The barrier to producing code has collapsed. What matters now is product thinking, strategy, architecture, and owning the entire solution end to end. Your level of thinking has to shift. You're not a line-by-line code builder anymore. You're a problem solver who happens to have an absurdly powerful tool at your fingertips.

Go solve actual business problems. Look for where the value is instead of just building for the sake of building. Think about strategy. Excitement is great — but when it's a short-term spike, it doesn't take you anywhere.

Focus on What AI Can Do

There's a vocal crowd that loves to insist "AI doesn't actually reason" and "AI can't do X." I hear them. I just don't find it useful.

My approach is simple: cut off that noise and focus on what AI can do. Use it to extend your powers. Push the boundaries of what's possible with it instead of arguing about what isn't.

The people debating limitations aren't shipping. The people building are learning where the real edges are — through experience, not theory.

Are you consuming content about AI, or are you actually building with it?

TL;DR

  • The AI content ecosystem is a noise machine — people using AI to write about AI to sell AI, with almost no original signal.
  • Stop curating your feed and start building real projects across different domains to develop skills that actually matter.
  • Code generation is a commodity now; the real leverage is in product thinking, architecture, strategy, and end-to-end ownership.
  • Debating AI's limitations is a spectator sport — builders learn the real edges by shipping, not theorizing.
  • Solve actual business problems where value exists, not just toy projects fueled by short-term excitement.

The people posting about AI are getting likes; the people building with AI are getting leverage.

Geddy

Geddy

Senior Web Engineer / Lead

Engineering leadership • AI innovation • Product thinking. 20+ years building scalable web solutions.