Why AI Conversations Still Feel Clunky—and Why That Won’t Last

Right now, using AI tools like ChatGPT or Claude feels more awkward than it should. Every time you want to start a new task, you’re pushed into creating a new chat or thread, and then you’re left hoping the AI somehow remembers context from a previous conversation. Most of the time, it doesn’t. That’s not because the AI is “dumb,” but because the underlying system simply can’t carry everything forward forever.

The root of the problem is the context window. AI models can only “see” a limited amount of conversation at once. If you keep chatting endlessly, the system has to resend more and more text back to the servers every time you say something. That costs real money in compute and bandwidth. From the companies’ perspective, forcing new chats is a practical way to keep costs under control, even if it’s annoying for users.

This is also why so many current features—projects, custom GPTs, system prompts, memory tools—feel like they’re designed for power users or developers. It’s very similar to the early internet days. Back then, using the web meant dealing with clunky browsers, strange interfaces, and search engines like Mosaic or Lycos that required patience and technical curiosity. Normal people eventually came along, but not until the tooling matured.

We’re still in that early phase with AI. Even in late 2025, it’s only been a few years since these systems landed in the hands of the general public. What we’re using today is not the final form—it’s more like a prototype of what’s coming.

Long term, this whole “new chat, new thread” model is going to disappear. Instead of juggling conversations, everyone will likely have a single AI—more like a general contractor than a chatbot. You’ll talk to it continuously, mostly through voice. It will remember you, understand long-term context, and pull up information only when it needs to. It’ll edit things, fetch data, contact other people, or delegate tasks to other systems on your behalf.

When context windows become effectively infinite—or at least feel that way—the experience will stop being fragmented. Conversations will be ongoing and natural, not boxed into threads. What feels clunky and technical today will eventually feel invisible. And when that happens, AI won’t feel like a tool you “use” anymore—it’ll feel like something that’s just there, working quietly in the background of your life.

Life Begins Where Fear Ends

Life truly starts when fear stops running the show. It all comes down to your relationship with fear—whether you let it control you or whether you choose not to feed it. Fear only grows when you give it attention and energy. The moment you stop fueling it, it begins to lose its grip.

Most fear is rooted in things that haven’t happened yet. It lives in imagined futures, worst-case scenarios, and stories we tell ourselves about what might go wrong. But when you live in the present—the only moment you actually have—you realize something powerful. The present is a gift, and when you fully show up for it, the future has a way of taking care of itself.

Living in the present doesn’t mean doing nothing or being careless. It means giving your best effort right now, with what’s in front of you. Do your work honestly. Show up fully. Act with intention. That’s all you’re ever truly responsible for. Worrying about the future doesn’t improve it, but being fully engaged in the present often does.

Fear becomes dangerous when it paralyzes you. When you stop moving, stop trying, or stop believing in yourself, you guarantee the very outcome you’re afraid of. If you’re frozen today, tomorrow doesn’t magically improve. Momentum is created by action, not by overthinking.

Choosing faith over fear doesn’t mean you’ll never feel afraid. It means fear doesn’t get the final say. Faith is trusting that even if things don’t unfold perfectly, you’ll be able to handle whatever comes. It’s choosing belief over doubt and courage over hesitation.

And don’t forget to enjoy the journey. Life isn’t meant to be a constant battle against worry. Have fun along the way. Laugh, experiment, stumble, learn, and keep moving forward. When fear steps aside, life opens up—and that’s where growth, joy, and possibility begin.

Faith over fear. Always.

The Coming “Google Moment” for Artificial Intelligence

There’s a strong chance artificial intelligence is heading toward its own “Google moment.” Before Google, the internet already existed for decades. Researchers, academics, and technical users knew how powerful it was, but for everyday people, it was messy, confusing, and hard to navigate. Google didn’t invent the internet—it made it usable. Suddenly, anyone could find what they wanted in seconds. That single shift changed everything.

AI appears to be on a similar path. Right now, we’re in the early phase where the tools are impressive but fragmented. You have different apps, models, prompts, and workflows. But eventually, there will likely be one dominant, general AI interface that feels personal and universal. One AI per person. People won’t just say “I’m using AI.” They’ll say, “I’m talking to my Emma,” or “my Mike,” or “my Sarah.” That AI will have a consistent personality, memory, and context, and it will act as the main gateway to information, tasks, and decisions—just like Google became the gateway to the web.

That moment hasn’t fully arrived yet, but it feels close. Probably a few years out.

The first major inflection point already happened, though. In November 2022, ChatGPT was released, and AI suddenly captured the world’s attention. AI had existed for years before that. It was already being used in research labs, recommendation engines, and enterprise systems. What changed wasn’t the intelligence itself—it was the interface. Being able to simply chat with a powerful language model made AI accessible to everyone.

If you want an internet parallel, that moment was similar to when Netscape and Mozilla browsers appeared in the mid-1990s. The internet didn’t suddenly come into existence then. It just became visible, approachable, and useful to the general public. That visibility sparked mass adoption, huge interest, and eventually massive investment.

AI is now following that same trajectory. The chat interface unlocked curiosity, funding, and experimentation at a global scale. The next phase is refinement and consolidation—moving from many tools to one trusted, personal AI that feels as natural as opening a browser or typing into a search bar.

That’s the real shift ahead: not just smarter AI, but simpler, more human access to it.