Sahin Boydas
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Another Great Article About AI Voice - 59

Lessons for voice assistant and podcasting startups: execute instead of overthinking, choose the simplest solution, iterate, let AI amplify a good team.

2024-06-158 min read515 words

Lessons for voice assistant and podcasting startups: execute instead of overthinking, choose the simplest solution, iterate, let AI amplify a good team.

What I've Learned From 21 Companies

A few patterns in AI voice come up again and again.

The founders who handle AI voice well understand that customer feedback is the only metric that matters.

The Framework That Actually Works

Here is a simple framework for evaluating AI voice. It's not complicated, but it requires discipline.

Step 1: most founders overthink this and underspend on execution

This is where most people go wrong. They skip this step entirely and jump straight to execution. Don't do that.

Step 2: the best solutions are often the simplest ones

Once you have the foundation right, this becomes much easier. I've watched founders struggle with this for months when the answer was staring them in the face.

Step 3: Iterate relentlessly

Nothing works perfectly the first time. The companies that get AI voice right treat it as an ongoing process, not a one-time project.

The AI Angle

Any discussion of AI voice in 2026 has to include AI. As someone who's invested in Anthropic, OpenAI, Scale AI, and Hugging Face, I have a front-row seat to how AI is transforming this space.

The short version: AI makes good practitioners better and bad practitioners worse. It's an amplifier, not a replacement.

Some teams use AI to get far more out of AI voice. Others spend heavily on AI that solves the wrong problem. The difference comes down to understanding what you're actually trying to achieve.

This connects to broader themes around AI podcasting, voice AI assistants, speech recognition, conversational AI that I've been thinking about a lot lately.

Wrapping Up

I've shared a lot here, and I know it can feel overwhelming. But you don't need to get AI voice right on day one. You just need to get started and keep improving.

Founders who do well at AI voice tend to share one trait: they're relentlessly practical. They don't chase perfection. They chase progress.

That's the mindset I'd encourage you to adopt. Start where you are. Use what you have. Do what you can. And keep pushing forward.

As always, I'm rooting for you.

FAQ

Frequently Asked Questions

Q:What's the most common pushback you get on this?

People often push back by citing exceptions or edge cases. And they're usually right that exceptions exist. But building a strategy around exceptions rather than patterns is a losing game for most founders.

Q:Do all experts agree with this view?

No, and that's fine. The best ideas in business are often contrarian. I share my perspective based on my experience and data, but I encourage you to seek out opposing viewpoints and form your own conclusions.

Q:How can I apply this thinking to my own situation?

Start by identifying the core principle behind the opinion, not the specific example. Then ask yourself: does this principle apply to my context? If yes, test it in a small, low-risk way before going all in.

Written by

Sahin Boydas

Serial entrepreneur, #1 angel investor, author of Becoming Top 1%

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