Cover Image for Alumnx AI Build Day: TokenLens
Cover Image for Alumnx AI Build Day: TokenLens
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Alumnx AI Build Day: TokenLens

Hosted by Vijender P
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About Event

โ€‹Alumnx AI Build Day: Token Observability

โ€‹๐Ÿ—“๏ธ 30th May | โฐ 11 AM โ€“ 12 PM ๐Ÿ“ Hybrid โ€” Hyderabad + Online


โ€‹Ever wondered what your AI inference actually costs?

โ€‹When you upload a PDF into ChatGPT or Claude and ask a question โ€” do you know how many tokens are being consumed? Do you know when it makes more sense to self-host an open source model like Gemma 4 versus calling a hosted API like Gemini Flash?

โ€‹Most people building AI applications today don't have answers to these questions. That's an expensive blind spot.


โ€‹What we are building

โ€‹Participants from Alumnx AI Labs' Full Stack AI Engineers cohort and AI for Senior Leaders (SLP) program are building a Token Observability web application โ€” live, in 48 hours.

โ€‹The application will let you:

  • โ€‹Upload a PDF and ask questions against it

  • โ€‹See exactly how many tokens are consumed and what it costs โ€” in โ‚น and $

  • โ€‹Compare full-context ingestion vs RAG-based retrieval

  • โ€‹Understand when a self-hosted model beats a hosted API โ€” and when it doesn't


โ€‹What happens on 30th May

โ€‹We demo the live, deployed application โ€” built entirely by our cohort in 48 hours. You will see real token counts, real cost breakdowns, and a side-by-side comparison of Gemma 4 on an NVIDIA A10G GPU versus Gemini Flash API.


โ€‹Who should attend

  • โ€‹Developers building AI applications who want to understand and control their inference costs

  • โ€‹Senior leaders evaluating AI investments and ROI

  • โ€‹AI enthusiasts curious about how LLMs are priced and deployed

  • โ€‹Anyone who wants to see what 48 hours of focused AI building looks like


โ€‹Want to build with us?

โ€‹We are open to contributions from AI enthusiasts who want to code alongside our team during the 48-hour build sprint. Limited spots available.


โ€‹Organised by Alumnx AI Labs | Hyderabad Building hands-on AI practitioners โ€” one cohort at a time.

Location
https://meet.google.com/sbr-ateq-jpy
Hosted By
61 Went