A talk built for CS students — full of code and architecture — falls flat with a commerce or arts audience who don't need or want implementation detail. But 'dumbing it down' isn't quite the right adjustment either; the goal is relevance, not simplicity for its own sake.
What actually needs to change
- Frame the talk around what these tools change for the audience's own field, not around how the tools work internally.
- Replace code demos with outcome demos — show what the tool produces and what decision it changes, not the implementation behind it.
- Spend more time on limitations and honest capability boundaries; a non-technical audience is more likely to over-trust a confident demo without that context.
What stays exactly the same
Honesty about what the technology can and can't do, and a genuine live demonstration rather than only slides, matter for every audience equally.
See an AI awareness session for non-CS students.
GenAI engineer and AI product builder with 2+ years shipping production-grade AI systems: RAG pipelines, fine-tuned LLMs, hybrid retrieval and multi-modal apps across vision, speech and OCR, architected end to end from ingestion to deployment. Leads engineering for SCULT INDIA's 14-member team, founded the 500+ member TechVerse Enclave community and has mentored 200+ students. Three hackathon first prizes: Changethon 2025 (IIT Roorkee), Product Genesis at Vividhotsava 2025 (CSJMU Kanpur) and BYTEBATTLE (MeetKats).
Open to GenAI roles, hackathon judging, mentorship sessions and guest talks at colleges. Email pranjulrathour41@gmail.com.
