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Bridging the gap between AI capability and real-world usability

Latest Posts

April, 2026 - The End of Clicking? Rethinking UX in the age of conversational AI

March, 2026 - Notes that Think - AI powered Notes App

Feb, 2026 - AI Products Will Win on Integration, not Just Intelligence

September, 2025 - My Gen AI Eval's Playbook

The End of Clicking? Rethinking UX in the Age of Conversational AI

I’ve realized something about my own behavior recently:I’ve almost completely shifted from search engines to conversational AI. From random questions to specific tasks, the ease of getting answers now feels fundamental. And the moment I leave AI and enter traditional apps, the friction becomes obvious. Two types of digital interactions If you zoom out, most of what we do online falls into two categories: 1. Exploratory - Shopping, travel, content discovery → Users are still d

Aayushi Srivastava

2 min read

Notes that Think - AI powered Notes App

I built an AI-powered notes app to fix what Apple Notes doesn’t do well. It’s great for storing notes—but not for organizing or understanding them. So I built one that: Auto-organizes notes by intent, not folders Cleans up messy thoughts automatically Lets you search by meaning, not keywords From passive storage → to an active thinking assistant. Key Insight: Raw AI is powerful. Production AI needs scaffolding. I went in thinking: “Give it a prompt → get structured JSON → shi

Aayushi Srivastava

9 min read

✨ AI Products Will Win on Integration, Not Just Intelligence

Lessons from building with prompts, agents, and code—and the one question that matters most. 🧠 The Missing Half Most of us aren’t great prompt writers. When we ask a question, we often communicate only half of what’s in our head. The context, the goal, the constraints—much of it stays unspoken. The AI systems that feel magical are the ones that infer the missing half. ✈️ Ask about a long-distance trip → it accounts for jet lag, fatigue, and pacing instead of just dumping a g

Aayushi Srivastava

2 min read

My Eval's Playbook

I was one of the founding members building user-centric evaluation frameworks at Meta AI. When I entered the GenAI space, most evaluation approaches were rooted in research benchmarks—valuable, but often disconnected from how users actually experience AI in the real As an early member working on text response quality at Meta, I saw this gap clearly. So I approached evals as a product problem, not just a measurement problem. Evals are the control system for GenAI products. The

Aayushi Srivastava

4 min read

Who I Am

Aayushi Srivastava
PM – GenAI | Search | Payments | Ads

I build end-to-end AI-driven product experiences.

My work sits at the intersection of large language models, search, and monetization. At Meta, I lead product development across model behavior, personalization, and search integration—designing evaluation systems, improving retrieval and ranking, and creating data flywheels to continuously improve response quality

Alongside AI, I’ve built and scaled monetization systems. This includes a unified checkout and wallet platform (~$2B lifetime revenue) and ads experiences that drove over $150M through lead generation and conversion-focused flows.

I started as an engineer, grew into an engineering manager, and now I’m a PM building products from idea to impact.

I’ve worked across GenAI, search, ads signals, payments, app development, and even 5G/4G hardware.

Outside of work, I’m a daughter, sister, wife, and mom—my most important roles.

LinkedIn https://www.linkedin.com/in/aayushisri/

Bridging the gap between AI capability and real-world usability

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Latest Posts

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The End of Clicking? Rethinking UX in the Age of Conversational AI

Notes that Think - AI powered Notes App

✨ AI Products Will Win on Integration, Not Just Intelligence

My Eval's Playbook

Who I Am