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Vinayak Gavariya

@VinayakGavariya • 3,619 subscribers

AI & Developer Relations Engineer @SarvamAI • Ex: @bluelearn

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India has 2,300+ call centers and ~2M people handling calls every day. Each agent handles ~50–100 calls. That’s millions of conversations daily being recorded… and mostly ignored. Not because it’s not useful. But because turning audio → insight is painful. Tried building this differently using Sarvam. Audio → STT → 105B → structured output Took ~30 minutes. No pipeline design No post-processing loops No juggling services Just defined what I wanted — and got it. Shipping things with Sarvam APIs is so easy.
2:42
VinayakGavariya's profile picture

India has 2,300+ call centers and ~2M people handling calls every day. Each agent handles ~50–100 calls. That’s millions of conversations daily being recorded… and mostly ignored. Not because it’s not useful. But because turning audio → insight is painful. Tried building this differently using Sarvam. Audio → STT → 105B → structured output Took ~30 minutes. No pipeline design No post-processing loops No juggling services Just defined what I wanted — and got it. Shipping things with Sarvam APIs is so easy.

Vinayak Gavariya

42,139 Aufrufe • vor 2 Monaten

We just removed the most annoying part of dev: Reading docs manually. Now: Cursor × MCP × Sarvam AI docs = instant answers + faster builds Steps: 1. Go to 2. Click on Install MCP server 3. Open Cursor 4. Install MCP 5. Start building
0:37
VinayakGavariya's profile picture

We just removed the most annoying part of dev: Reading docs manually. Now: Cursor × MCP × Sarvam AI docs = instant answers + faster builds Steps: 1. Go to 2. Click on Install MCP server 3. Open Cursor 4. Install MCP 5. Start building

Vinayak Gavariya

13,336 Aufrufe • vor 4 Monaten

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