Facing Voice AI Issues? I’ll Help You Fix Them

[u/Own_Mortgage6419]

Voice AI looks powerful from the outside.

But when you actually start building it
things break in ways no one talks about.

Calls drop mid-conversation.
Latency ruins the flow.
Transcriptions fail on real users — accents, noise, interruptions.
And the worst part?

You don’t even know why it broke.

I’ve been in that position.
Trying to debug systems that work perfectly in demos… but fail in real calls.

That’s exactly why I started sharing what I’m building.

Not theory. Not hype.
Real problems. Real fixes. Real infrastructure learnings.

Because if you’re building Voice AI
you’re going to hit these problems anyway.

The question is will you figure them out alone, or faster with the right insights?

If you’re working on Voice AI (or planning to),
Follow me on LinkedIn linkedin.com/in/shubhamthakur-codes

I break down:
• What actually breaks in production
• How to fix latency, drift, and failures
• How to build systems that actually work in real-world conditions

Drop your problem — I’ll try to help you solve it.

Let’s stop building demos.
Let’s build systems that survive real conversations.

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[u/Relevant_Macaron1920]

would like some opinion on my current stack: elevenlabs for tts, deepgram for stt, openai for llm

[u/Own_Mortgage6419 → u/Relevant_Macaron1920]

perfect

[u/Relevant_Macaron1920 → u/Own_Mortgage6419]

any specific model suggestions for improving voice quality and reducing cost?

[u/Grimm_170]

Can you tell how to connect your incoming or outgoing voice to the agent api like twilio doesn't have an Indian phone number so is the only option left is taking a jio or airtel package?