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An AI-native product roadmap & PRD — shipped to a real cohort review panel of senior PMs, with discovery, prioritisation, and rollout decisions defended in front of practitioners.
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A working AI-powered prototype — built with LLMs, agents, and modern PM tooling, integrated end-to-end so you ship a real product, not slides.
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Customer-research playbooks tuned for AI — discovery loops, eval frameworks, and decision rubrics that work for non-deterministic AI features.
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A capstone launch reviewed by industry — final product critiqued by senior PMs from Razorpay, Google, and LinkedIn, with one-on-one feedback recorded as proof of work.
- AI Product Managers who own AI-native product surfaces end-to-end — from discovery through eval, launch, and ongoing model behavior.
- AI Product Leads driving roadmaps for LLM and agentic features at scale, partnering tightly with research and platform teams.
- AI Solutions PMs embedded with engineering on customer-facing deployments — translating ambiguous AI behavior into shippable product decisions.












