Alumnx AI Build Day: TokenLens

Two questions I want you to sit with for a moment 👇

❓ When you upload a PDF into ChatGPT or Claude and ask a question - do you actually know how many tokens are being consumed?
❓ Do you know at what point it makes more sense to run a self-hosted open source model like Gemma 4 - versus simply calling an API like Gemini Flash?

Most people building AI applications today don't have clear answers to either. And that's an expensive blind spot.

That's exactly why participants from my
'AI for Senior Leaders (SLP)' Cohort
and
'Full Stack AI Engineers' Cohort

are building and deploying TokenLens - in just 48 hours.

If you are an AI enthusiast and wish to contribute, please register. We can onboard 5 Senior Leaders and 5 Engineers to help us build TokenLens.

Product Management and AI System Design will be led by Syam Sunder V
Technical Architecture and Development will be led by Deepanshu Sonwane

TokenLens will let you:
✅ Select a model, upload a PDF and ask questions against it
✅ Determine how many tokens are consumed and what it costs
✅ Understand when a self-hosted model beats a hosted API

🎯 Live Demo of 'TokenLens'
🗓️ 30th May | ⏰ 11 AM – 12 PM
📍 Hybrid (Hyderabad + Online)

👉 Register now to understand how we are building TokenLens and experience it - https://luma.com/f7xct65p