Alumnx AI Build Day: TokenLens
โAlumnx AI Build Day: Token Observability
โ๐๏ธ 30th May | โฐ 11 AM โ 12 PM ๐ Hybrid โ Hyderabad + Online
โEver wondered what your AI inference actually costs?
โWhen 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?
โMost people building AI applications today don't have answers to these questions. That's an expensive blind spot.
โWhat we are building
โParticipants 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.
โThe application will let you:
โUpload a PDF and ask questions against it
โSee exactly how many tokens are consumed and what it costs โ in โน and $
โCompare full-context ingestion vs RAG-based retrieval
โUnderstand when a self-hosted model beats a hosted API โ and when it doesn't
โWhat happens on 30th May
โWe 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.
โWho should attend
โDevelopers building AI applications who want to understand and control their inference costs
โSenior leaders evaluating AI investments and ROI
โAI enthusiasts curious about how LLMs are priced and deployed
โAnyone who wants to see what 48 hours of focused AI building looks like
โWant to build with us?
โWe are open to contributions from AI enthusiasts who want to code alongside our team during the 48-hour build sprint. Limited spots available.
โOrganised by Alumnx AI Labs | Hyderabad Building hands-on AI practitioners โ one cohort at a time.