Issue 58 - I Hated Voice Notes. Then AI Changed Everything.

I really hate audio messages, especially WhatsApp voice notes. Because...

• They’re not searchable

• No transcript to skim

• You have to rewind and listen to the whole audio just to find one important bit

• You can’t listen or reply in public

• Senders just ramble with unnecessary fillers like “um,” “like,” “you know”

And it might seem like sending audio is faster, but in reality:

• Glancing at text is faster than listening

• Text forces people to think before they send, so only what matters comes through

But things have changed now.

AI tools make it easy to convert audio into clean, readable text in real time. They preserve your tone, fix your spelling, understand your style, and even format things into bullet points based on how you naturally speak.

One of my favorite tools for this is Wispr Flow. I use it all day long. You can see from my usage insights that most of my time goes into AI prompting. Because AI responds better to detailed, descriptive input compare to short one-liners.

When I talk, I naturally explain things more into detail and repeat myself more compare to writing. And that actually helps the AI. Wispr Flow captures all of that and turns it into clean text instantly.

Once I have the text, I can paste it anywhere and use my Raycast AI Command to polish it further by shortening sentences, restructuring the flow, or turning it into a list. The combination of these two tools has made writing significantly faster.

For anything more thoughtful, like a long-form essay or a detailed post, I take the transcript and spend a bit of time editing and refining it. That’s exactly how this mini blog is written.

If you’re not using a voice-to-text AI tool yet, you’re missing out. The barrier to writing more and writing better has never been lower.

Also, building a voice AI agent is much easier now with tools like Pipecat, if you’re a developer.

What’s your current voice-to-text setup? Or what’s stopping you from trying one? Would love to hear in the comments.

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In this video, I am sharing how we can build real-time voice and video AI agents with Pipecat for anything. By integrating third-party AI services like OpenAI, Cartesia, Twilio, Tavus, Daily.co, and Recall, I will also explain my system for handling low-latency audio orchestration, integrating custom tools like Google Calendar, and syncing real-time UI updates using Firebase.

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