AI Product Strategy

Not every product needs AI. But if yours does, let's make sure you're

building it right — with the right models, right infra, and right GTM

for the Indian market.

What we cover:

→ Where AI actually adds value in your product (vs. where it's hype)

→ Claude API / OpenAI / open-source — what's right for your use case

→ RAG vs fine-tuning vs prompt engineering — decision framework

→ Agentic workflows: when to use LangChain, LlamaIndex, or custom

→ Indian market fit: WhatsApp-native UX, vernacular, compliance

→ Monetization model for AI-native SaaS

Who this is for: Founders building AI products, PMs adding AI to

existing products, engineers moving into AI engineering.

I run IntelliForge AI — we've shipped 10+ AI-native products

(GarageOS, KinderOS, MedForce, ClipForge and more).

I'm pursuing MTech DSAI @ IIIT Dharwad. This isn't theory.

Come with: Your product idea + target customer.

Leave with: A clear build-or-kill decision and a 90-day roadmap.