How I practice
AI-native design

AI-native product design is product design where the language model or agent is the core experience — not a bolt-on feature. Madhuri Maram practices it across agentic MarTech at Aampe through Relay, Prompt Shaper, and team enablement.

Testimonials

Stack

Design, product, and build tools I use across this work.

AI- Assisted Coding tool stack

Claude

Planning PRDs and MVPs

Visit
Replit

Fast sandbox builds with API prototypes, perfect for internal teams.

Visit
Cursor

Day-to-day design & code editor with agent assistance.

Visit
Codex

A great hammer for getting things done with goal sessions.

Visit
Notion

Make my agents write documents & build workflow loops.

Visit
Linear

tracking the progress of my agents for product and build work.

Visit
Vercel & Vercel Analytics

Static portfolio host.

Visit

Design & Product tool stack

Claude

Cowork sessions, technical writing, and design reasoning

Visit
Figma

Primary design surface and component exploration.

Visit
Figma Make

AI-assisted prototyping inside Figma.

Visit
Notion

Notes, specs, and personal knowledge base.

Visit
Linear

Triaging, Documentation & Project Management

Visit
Framer

Publishing scalable no-code websites

Visit
Wispr Flow

personal voice app for recording notes & working with agents.

Visit

Want to talk about AI-native work?

Share what you're working on and where design or product gaps show up in AI-native work — I'll tell you honestly if I'm the right person. Copy my email below, or read longer-form notes on Substack first.