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We Talk to Ourselves (But We Swear We're Not Crazy)

Let's get one thing out of the way: yes, we talk to ourselves now. A lot. But it's not weird… It's productive.

September 29, 20253 min read

Let's get one thing out of the way: yes, we talk to ourselves now. A lot.

But it's not weird… It's productive. Stay with us…

Why Are We Still Typing?

Typing is not native to computers. It's not even native to humans.

We only type because, for the past few decades, it's been the easiest way to get information into a machine.

But typing is not the goal — computing is.

The UI layer has just always shaped how we use technology.

And as we've said before: when the interface changes, everything changes. (Check out our recent newsletter on how AI is shifting UI…)

A Brief History of the Interface

  • Computers were built to calculate, not to chat.
  • Graphical User Interfaces (GUIs) made them usable.
  • The mouse made them accessible.
  • The internet made them social.
  • The smartphone made them portable.
  • AI is making them… conversational.

History of computer interfaces

But here's the thing: the way we input information hasn't kept up. We're using interfaces from 1998 to interact with intelligence from 2025.

Rethinking Input

We're used to typing because it's been the default for decades. But it's not necessarily the most efficient way to get information into a computer.

We think faster than we type.

And a lot of what slows us down isn't the idea — it's the act of getting it out. Voice can help remove that friction.

At first, speaking your thoughts out loud might feel a bit strange.

But once you try it, it starts to make sense, especially when the system understands what you meant, not just what you said.

In many cases, typing still works. But in others, voice might just be the simpler, faster way in.

Enter Wispr Flow

Wispr Flow recently raised $30M from Menlo Ventures, and we've been using it for just about everything:

  • Coding
  • Brainstorming
  • Writing
  • Debugging
  • Project management

Before you roll your eyes and say "Siri does voice messaging…" Yes, we know. But this is different, and noticeably better.

If you've ever tried voice-texting with Siri and said: "Wait wait, don't put that in…"

It probably added that in anyway. Wispr doesn't.

It's designed to understand what you meant — not just what you said. Even when you're backtracking or thinking out loud.

It also includes a Dictionary and Text Replacements, so you can add names, shortcuts, or full phrases you use and reuse them easily.

It's really more like having a direct report and explaining the task that needs to get done.

Building with Voice

This week, we used Wispr to build a full-stack app for a client — entirely by prompting in Claude Code. Here is a transcript of what some our voice prompts were:

Wispr voice prompts transcript

Wispr captured everything, passed it cleanly into Claude, and we kept building.

It seems like a small thing, but time adds up when you're debugging, rewriting prompts, or clarifying context over and over. Speaking it out — naturally — gets you there faster.

To put our Wispr output into numbers over the past two days: we've done 20.1k words, which is equivalent to delivering 7 TED talks, dictating nearly half a book, or speaking nonstop through 3 hours of intense meetings.

So yeah, we've been talking to ourselves a lot this week.

But the output has been worth it.

Curious?

Interested in tools that help you work in faster, smarter ways?

Let's talk.

(Yes, we still talk to people — not just ourselves.)

Frequently Asked Questions

Wispr Flow is an AI-powered voice-to-text tool that recently raised $30M from Menlo Ventures. Unlike traditional voice dictation tools like Siri, Wispr Flow understands context and intent, allowing you to speak naturally while coding, writing, or managing projects. It can handle backtracking and thinking out loud without adding unwanted text, and includes features like Dictionary and Text Replacements for frequently used terms.
Wispr Flow differs from Siri and traditional voice dictation in its ability to understand what you meant rather than just what you said. When you backtrack or say phrases like "wait, don't put that in," Wispr intelligently filters those out instead of adding them to your text. It's designed specifically for professional workflows like coding and project management, making it more contextually aware than general-purpose voice assistants.
Yes, developers are successfully using Wispr Flow for coding with AI tools like Claude Code. The tool captures natural spoken instructions and passes them cleanly into development environments. Teams have used it to build full-stack applications entirely through voice prompts, handling tasks like debugging, code writing, and clarifying technical requirements without typing.
Voice input is gaining importance because typing was never native to computing—it was just the easiest input method available for decades. As AI makes computers more conversational and interfaces evolve, voice removes the friction between thinking and execution. People think faster than they type, and voice input eliminates the bottleneck of translating thoughts into written commands, making it more efficient for many workflows.
Voice-to-text tools like Wispr Flow dramatically increase productivity by reducing the time spent on manual typing, especially during repetitive tasks like debugging or rewriting prompts. Users report processing thousands of words daily—equivalent to multiple TED talks or hours of meetings—without the physical strain of typing. This allows for faster iteration, more natural communication with AI tools, and better focus on the actual problem-solving rather than the mechanics of input.