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Owned by Olesya

SabAI

2 members • Free

Busy women and entrepreneurs who want to use AI tools but aren't full-time developers. People who want to run automations easy and save time.

Lighting Design

1 member • Free

💡 Light is emotion, presence, and soul. After decades crafting luxury atmospheres worldwide, I now share its secrets with you. ✨

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AI Video Bootcamp

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Women Build AI

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Skoolers

194.7k members • Free

2 contributions to SabAI
🚀 AI Automations for Product Managers: Building Moats Beyond ChatGPT Wrappers
🚀 AI Automations for Product Managers: Building Moats Beyond ChatGPT Wrappers Hi everyone 👋 Olesya here — Product Manager & CTO building household-focused apps after 20+ years as an engineer, designer, and founder. As PMs, we’re not just chasing features — we’re shaping systems that learn, adapt, and scale. Here are some distilled lessons from my recent deep dive into vector search + RAG: 🔎 Core Principles - Vector search → relevance through meaning, not keywords. Think “RGB for data.” - RAG (Retrieval-Augmented Generation) → cut token costs by filtering corpora before generation. - Signals matter → swipes/skips > likes. Stronger feedback loops = real personalization. - Data is the moat → wrappers vanish; proprietary data + unique tools endure. 🛠 PM Playbook - Design flows that extract negative + preference signals, not just surface engagement. - Map proprietary datasets directly to user value → treat data as your product core. - Build OSS entry points (trust + adoption) → monetize with one-click managed cloud. - Track GitHub stars & downloads early → pivot to retention + revenue later. ⚡ Quick Wins (this week) 1. Index top FAQs → deliver semantic answers. 2. Add swipe/skip to one feed → capture true intent. 3. Define token-cost baseline per answer. 4. Draft clear data-consent copy. 🎯 Why this mattersAI productization isn’t about “wrapping ChatGPT.” It’s about designing systems with durable moats, efficient retrieval, and feedback-rich loops that actually learn from users. 👩‍💻 Question for you all:Which signal-extracting UI patterns (beyond swipes/likes) have you experimented with — and did they move the needle on retention? —💎 Happy to exchange frameworks and real-world experiments — especially on bringing AI agenting into everyday PM workflows.
From Slogan to Video in 8 Seconds — My AI Flow
🚀 👋 Hi comunity, I’m new in Skool , but have been diving into AI for a while. As a PM, I built a flow that turns any marketing slogan or 1-liner into a short 8-second video that perfectly illustrates the message. 🎥✨ I dropped a few examples below so you can see how it works. If anyone’s curious, I’d be happy to share the method—and I’m currently working on fully automating the process so it’s plug-and-play. 🚀 Would love your thoughts and feedbacks! Video1: Clusters multi-domain universe. One system, multiple worlds—work, home, hobbies, family—all in one place. Video 2: Instant clarity from the first use. App's game-style interface makes using it fun.
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Olesya Tarasova
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3points to level up
@olesya-tarasova-7401
💡Light is a philosophy. I've spent decades crafting luxury worldwide✨ NOW I am Product&IT Executive, building AI era products.

Active 2h ago
Joined Sep 2, 2025
Cannes, France