Olga Lavrentieva

Lessons Learned from Building a Real Multi-Agent AI App

Narrative BI

Rubyroid Labs

Valentine Zavadskiy

CTO at AwertyAI | Former Co-founder of Narrative BI & Rubyroid Labs

Learn a practical way to pick AI tools—based on my direct experience struggling with hype and finding what truly works.

How to Select the Right Tools for Your AI Project

Go beyond auto-complete: AI can build your app and boost your productivity with one unconventional approach.

How AI Really Boosts Developer Productivity

AI blurs boundaries—learn how collab with a non-coder turned product vibes into real, user-driven features.

How "Vibe Coders" and Engineers Can Build Together

You had an AI SaaS idea. But then came the chaos… - You vibe-coded a prototype that was fragile and impossible to ship- You burned $5,000 on an AI engineer who built something you couldn’t use (or explain)- You gave away equity to an “AI co-founder” who ghosted when things got hard- You binged 100 hours of AI content and still couldn’t connect the dots 👉 The real problem?Most founders try to build an AI product without understanding how AI actually works.Reading X threads, hiring consultants, or watching YouTube gives you surface-level knowledge, but not the expertise to build with confidence. The fix? 🔨Real expertise comes from one thing: building. And that's exactly what we do in this bootcamp. Over 6 weeks, you’ll build real-world AI projects with direct guidance from me and a community of founders who are just as committed as you are. By the end, you won’t just understand AI. You’ll be able to...- Ship your custom AI solution- Know exactly who to hire—and why- Speak the same language as your technical team- Avoid fragile architectures and buzzword traps ⭐️ Course Benefits &amp; Outcomes 1) Overwhelmed → clear and confidentGet a structured path that removes the guesswork and shows you exactly what to focus on.2) Scattered resources → real projects that make AI clickBuild practical apps with Python, OpenAI, and Hugging Face.3) Boring tutorials → engaging, hands-on learningWork on real projects with expert guidance and a community that keeps you motivated.4) “I can’t keep up” → “I know what matters”Learn the key foundations and patterns behind modern AI systems—so you can adapt as the field evolves.5) I need AI skills → actually using themWalk away with the ability and confidence to build AI automations, apps, and MVPs that solve real problems.6) From “I can code” → “I can ship AI apps”Bridge the gap between your programming skills and AI engineering. You’ll walk away knowing how to build with LLMs, RAG, agents, and fine-tuning. 📚 What's Included?• 6 weekly live, hands-on sessions with the instructor• 8 pre-recorded modules so you can learn at your own pace• 10+ example projects with complete, reusable code• Weekly office hours with the teaching assistant for additional support• Access to a private community of fellow AI builders• Direct feedback on projects from the instructor and TA• (Optional) peer groups for accountability and collaboration ✅ Who should take this course?This course is designed for founders who want to build custom AI apps. You’ll get the most out of this bootcamp if you have basic coding experience (ideally Python). This is a great fit for...• Solo founders building AI-powered products or MVPs• Tech consultants offering AI/LLM-based solutions• Entrepreneurs exploring AI tools to automate, enhance, or scale their businesses• Side-project builders who want to turn AI ideas into working prototypes• Tech leaders seeking a clear understanding of AI to lead teams and initiatives. ❌ Who should NOT take this course?• People seeking mathematical and algorithmic details behind AI development• People who want to learn LLMOps• Students at the beginning of their career 🧑‍💻 10+ example projects we’ll build together...• AI Job Board Scraper• Interactive AI Job Dashboard• ML-based email classifier• Research paper summarizer• LLM-based text classifier• (Local) Document QA Chatbot• Structuring unstructured survey data• RAG Chatbot over LLM Medium blog posts• Fine-tuning LLM response style• Fine-tuning BERT for text classification

Unlock the Skills to Build an AI-Native Business

Course syllabus

Some programming experience is highly recommended (ideally Python).

Basic Coding Experience

Weekly live lectures with instructor and fellow cohort members.

Fridays

(Optional) reading and video content to prepare for the upcoming session.

Session Pre-work

(Optional) weekly homework to put your learnings into practice.

Weekly projects

Course schedule

Founders 🚀 Learn the AI and ML skills you need to turn product ideas into reality—without relying on a technical cofounder.

Tech Freelancers + Consultants 🧑‍💻 Add LLM-powered tools to your toolkit and confidently deliver AI solutions to clients.

Entrepreneurs ⚡️ Cut through the AI noise and gain the practical skills to automate, prototype, and launch AI-powered products.

Who is this course for

What you’ll get out of this course

Create AI systems using machine learning, prompt engineering, fine-tuning, and beyond. Build functional prototypes that demonstrate your AI solutions as POCs.

Build custom projects from start to finish.

Build a solid foundation in Python for AI. Learn to automate tasks, create scripts, and understand key Python concepts that power AI solutions, setting the stage for more advanced AI techniques.

Develop essential Python skills.

Explore the evolution of AI, from Software 1.0 to Software 3.0, and learn how modern AI technologies like LLMs, GenAI, and prompt engineering are transforming industries and shaping the future of intelligent systems.

Understand the AI landscape.

Master a 5-step AI project management framework to guide you from problem formulation to deployment. Learn to structure AI projects efficiently, ensuring successful implementation and measurable results.

Manage AI projects effectively.

From confusion to confidence—cut through the AI noise by building practical projects.

Cohort 6

Shaw Talebi

Cohort 5

Cohort 7

If you're like many ambitious professionals, you're not new to AI. You use the tools, follow the news, and see the potential. Yet, you feel a persistent gap between your current usage and what's truly possible. You probably recognize these challenges: 1. Your AI usage feels ad-hoc. You can write impressive prompts and accomplish isolated tasks, but you lack a systematic way to build reliable, scalable solutions that integrate into complex workflows. You see impressive demos online but don't have a clear path to building them yourself. 2. You're struggling to distinguish signal from noise. The relentless stream of new models, research papers, and "ultimate guides" is impossible to keep up with. You worry that you're investing time in learning skills and tools that will become obsolete in a few months. You need a way to identify the foundational principles that last. 3. You see a massive career opportunity but aren't sure how to seize it. You don't just want to be a user of AI; you want to be the person who can confidently lead projects, architect solutions, and guide your team. You want to become the go-to expert, but you need a structured path to get there. If this sounds familiar, it's because you've moved beyond the beginner stage. You're ready to tackle the next set of challenges, and that is precisely where our course begins. It is built on a single yet prfound premise: the most effective way to master AI is to build with it. We teach you how to create practical applications and then connect them to the underlying research. This ensures you not only know how to build, but why your solutions work, allowing you to adapt to any new tool or model in the future. More importantly, building with AI energizes you to keep learning, develops your taste, and enables you to seize opportunities. What You Will Be Able to DoThis course is about acquiring practical capabilities. By the end of this course, you will be able to: 1. Build and Deploy Functional AI Prototypes You will move from ad-hoc prompting to engineering reliable systems. You will learn to write code that integrates LLMs with other tools and data sources to solve real-world problems. Specifically:- Build a Q&amp;A bot over your own documents (e.g., Confluence, internal wikis) using AI native methods beyond RAG.- Create automated workflows, such as generating a weekly summary report from Jira tickets or processing inbound emails.- Connect AI to external tools and APIs to perform actions, moving beyond simple text generation.- Evaluate, debug and improve the output of LLMs in a systematic way. 2. Develop a Durable Framework for Learning New Concepts You will learn how to distinguish between temporary trends and fundamental principles. This will enable you to learn effectively, cut through the noise, and focus on what truly matters. Specifically:- Understand the core mechanics of LLMs, such as context windows and attention, and how they impact performance.- Confidently assess new AI models, papers, and tools to determine their actual value for your work.- Develop a first-principles approach to prompt engineering, moving beyond simple templates.Identify the inherent limitations of current AI (e.g., hallucination, reasoning failures) and design systems to mitigate them. 3. Become the Go-To AI Strategist in Your Role You will gain the confidence and clarity to lead. This course provides the structure to not only enhance your own work but also to guide your team and organization. Specifically:- Identify and scope high-value AI opportunities within your own business workflow.- Lead an AI project from an idea to a working prototype.- Clearly articulate the capabilities, costs, and limitations of a proposed GenAI solution to stakeholders.- Establish best practices for integrating AI into your team's existing processes. How You Will Learn: A System for MasteryOur course is a comprehensive system designed for deep, practical learning. It combines live instruction, hands-on application, and an extensive knowledge base to ensure you can build with confidence. 1. Live Sessions: The Core Framework Your learning is anchored by four hours of live sessions. These sessions are not about a collection of tricks; they are designed to give you a durable mental framework. We distill the most critical information on how AI works, teach you how to learn effectively in this rapidly changing field, and provide concrete principles to guide you from your first line of code to a functional application. The goal is to equip you to push through challenges and build with sound judgment. 2. Projects &amp; Office Hours: Real-World Application Knowledge is solidified through hands-on projects and direct support. You will work on building applications relevant to your daily work, pushing past self-imposed limitations to see what is truly possible. In our office hours, we provide personalized guidance to unblock you and demonstrate advanced problem-solving in real-time. We use cutting-edge tools like Cursor and Claude Code to build solutions live, showing you how to leverage the most powerful development workflows available today. 3. Reference Materials: A Library for Builders Your learning is supported by an extensive library of original materials. Developed with over 300 hours of effort and spanning more than 200 pages, this resource is your detailed guide for independent building. It is continuously updated to stay current. When you encounter a specific problem weeks or months after the course, this library is designed to give you the concrete answers and guidance you need to solve it. Join a Professional Network of 5,000+ AI BuildersYour enrollment includes lifetime access to our private network. This is a community for sharing technical solutions, discussing new research, and advancing your career alongside other serious practitioners. The community has a dedicated Q&amp;A section and we will answer your questions there even after the cohort. Ready to Build?We recommend the immersive experience of our cohort-based course. A self-paced version is also available if your schedule requires flexibility at https://www.superlinear.academy/c/ai/. All Maven students receive complimentary access to the self-paced version, and lifetime update of new course materials. Who This Course Is Not ForWe are committed to transformative outcomes, which means being transparent about who will get the most value from this demanding program. This course may not be the right fit if: 1. You are completely new to programming. This is not a 'learn to code' course. While you don’t need to be an expert developer, you should be comfortable with basic programming concepts and at least know how to install Python. Being completely new to programming also suggest that you job doesn't require automation, and it may not benefit much from AI. 2. You are looking for a passive, theoretical overview of AI. This is an intense, hands-on program that requires active building. Our methodology is centered on learning by doing. If your primary goal is to listen to lectures without writing code, you will not get the intended value. 3. You want to train a foundational model from scratch. This course teaches you how to build valuable applications with LLMs, not how to build the models themselves. When the web browser emerged, the great opportunity was to build websites, not competing browsers. We believe the same is true for AI today, and our focus is entirely on application. 4. You are looking for a list of "100 best prompts" or quick hacks. We focus on teaching the durable, first-principles understanding needed to build real applications. We do not teach temporary tricks even when they may be desired at times. 5. You cannot identify any problems you want to solve. The course teaches you how to build solutions. If you have no professional or personal context where you can apply these powerful new skills, the learning will remain abstract and you won't benefit from the core, practical value of the program.

The future is here, but unevenly distributed

Walkthrough building prototypes together. Learn their implications through LLM research and our technical insights.

Live Sessions

Content similar to the live sessions without the need for interactions. Fit your busy schedule and learn on your own pace.

Offline/Async Courses


Build your own GenAI solution for your particular use case. Apply the tools and mindsets learned in class

Get feedback and coaching on your class project. Learn what other students have built.

Office hours

You are using AI, but feel like you can be much better at it. You want to apply AI to your daily work and actually boost productivity.

You want to understand what AI is, how to learn it well, and where it falls short—so you don’t waste time on things that won’t matter.

You want to become the go-to-expert in AI and capture this opportunity of a lifetime.

Go beyond basic tools. You'll learn to code and deploy functional prototypes land automated workflows using APIs, latest tools, and advanced frameworks.

Build Real-World AI Solutions, Not Just Prompts

Stop chasing fleeting trends. We teach you the core principles of LLMs so you can confidently evaluate new models and future-proof your skills.

A Lasting Framework to Navigate AI's Future

Learn to identify high-value opportunities, lead AI projects from idea to prototype, and clearly articulate strategy to your stakeholders.

Become the Go-To AI Expert on Your Team

The AI tool landscape is noisy. We save you hundreds of hours by rigorously testing the latest tools, showing you which ones work best for specific tasks in our live office hours and community Q&amp;A during and after the class.

Leverage the Best AI Tools, Vetted for You

Receive our 200+ page, continuously updated knowledge base. This is your go-to reference for solving building challenges long after the course ends. Join a community of 5,000+ like minded AI trailblazers.

A Lifetime Library and Community of Builder Knowledge

Stop chasing tricks. Master the durable skills and vetted tools to build real-world AI solutions.

Yuzheng Sun, PhD

Statsig.com Data Scientist | Ex Tencent Director | Ex Meta/Amazon/BCG | Tech channel with 200k+ subscribers and 5k+ paid members

Yan Wang, PhD

Applied Scientist @ Samsara | Olympic Torchbearer | Ex Pinterest/Microsoft | Ex Tech blogger with 100k+ subscribers

Cohort 9

Cohort 10

By the end of this course, students will go from idea to functional AI app—even if they’ve never written a line of code before. They’ll experience the momentum that comes from building and deploying something real, using modern tools like Replit and OpenAI. More than a one-off project, this workshop gives students: A clear mental model for rapid prototypingConfidence to experiment with AI toolsA repeatable process they can apply to future use casesThe ability to speak about AI and automation with firsthand credibility They won’t just watch someone build—they’ll do it themselves.

Unlock a New Skillset: Vibe Code Your First AI App

This is required for your hands-on app building experience.

A Replit account ($25 per month tier recommended)

This is required to build AI capabilities in your working prototype.

An OpenAI account with API access.

Product managers who want to test ideas faster and prototype without relying on engineering

Aspiring PMs or founders looking to differentiate themselves with real AI capabilities

Builders, tinkerers, or strategists who are curious about what’s possible with modern no-code/low-code tools

You’ll learn by doing. From a blank screen to a working prototype, you’ll build your first AI-powered app and see how approachable modern prototyping can be—even if you’ve never written code.

Build and launch your first AI-powered app using Replit—no coding background needed.

Learn how to make your app “think” or “act” using simple, powerful APIs. You’ll use tools like OpenAI to power real features—no backend setup, just clear, hands-on instruction.

Learn how to connect APIs like OpenAI to add intelligence or automation

We’ll break down how builders think: fast feedback loops, functional demos, and iterative testing. This mindset makes you more effective and adaptable in modern product roles.

Adopt the mindset and workflow of rapid prototyping to future-proof your product career

You won’t just talk about AI—you’ll ship something. This experience gives you momentum to explore more ideas, impress stakeholders, and expand your impact as a PM.

Walk away with the confidence of having built your first AI app using vibe coding

Go From Idea to Working AI App—In Just 2 Hours

Prashanth Padmanabhan

Cohort 2

Cohort 3

Clients want coaching, your team wants direction, and leadership wants you to 10× your own output with AI - all while the AI tech stack changes every week. When you're not-technical and don't have the time to become technical, this becomes an insane challenge to overcome.&nbsp; It's also the challenge that I had to solve for myself. At Accenture, I went from being a non-technical leader to securing $2M in funding for AI initiatives. Then I helped build the AI strategies that drove productivity improvements for over 14,000 consultants. Today, I advise both tech startups and Fortune 1000 companies on becoming AI-native organizations. What you need are frameworks and cheat sheets on what really matters in deciding what, how, and when to apply AI. This cohort isn’t “AI 101.” It’s applied enterprise-grade learning for leaders who want to be ahead of the curve, not catching up to it. Unlike broad "AI for Leaders" courses that just cover definitions, this live lunch-time cohort is hands-on -- you'll pick your top use cases, calculate ROI, decide on the tech stack, and try your hand at automating some of your own workload. WHAT TO EXPECT:Format: four live, lunch-time sessions across two weeksSupport: two optional interactive office hours for hands-on helpPrep: bite-sized, zero fluff—show up, apply, move onOutcome: identify high-impact AI use-cases, craft an executable plan, and become the AI-native voice in your org (or for your clients) WHAT WE'LL COVER:- Pinpoint problems that are truly AI-solvable (we’ll choose them live)- Scope projects that become career-making case studies, not budget sinkholes- Speak “just-technical-enough” about GenAI, agents, ML, and automation- Make smart Build • Buy • Vibe-Code calls to save cash and time- See case studies from companies seeing 70%-300% improvements in productivity, marketing, engineering, and product management- Select platforms for low-code / no-code AI automations- Set realistic expectations with leadership and clients- Overcome resistance and build cross-functional buy-in- Avoid the costliest implementation traps- Keep your strategy relevant as the tech leaps forward TOOLKIT YOU'LL TAKE WITH YOU:1. Build, Buy, Vibe-Code AI Solution Decision Matrix2. AI Vendor Assessment Checklist3. “Why We’re Going AI-Native” Narrative Template4. 7-Point Checklist to Avoid AI Project Failure5. Handpicked list of my personal AI tech stack (the coolest AI products in the market right now) to explore The goal isn't to make you a technical expert - it's to give you the confidence to lead AI initiatives successfully. WHO WILL BENEFIT MOST FROM THIS COURSE: - You're responsible for AI projects but don't have a technical background- You need to make strategic decisions about AI investment- You're leading consulting engagements and clients want coaching on AI- You're bridging the gap between technical teams and business objectives- You want to position yourself as a forward-thinking leader WHO THIS IS NOT FOR: - Developers or AI engineers seeking technical implementation skills- Those expecting to become AI experts overnight- People looking for general "this is what ChatGPT is" courses If you're still not convinced, consider this: The price of this course is a fraction of the cost of a single failed AI project (so you should ask if your company will pay for this). And even if they won't, this is a small investment towards making your career future-proof.

Expectations have never been higher...

Use your lunch hour for the most impactful activity you could have on your plate -- future-proofing your career.

Wednesdays & Fridays Live Sessions

Open Office Hours for any questions and deep dives.

Thursday AMA Office Hours

Team leads, directors, and department heads who have been "volun-told" to implement AI and need to show a plan, quickly.

AI consultants who need structured frameworks to help clients decide on AI use cases, execution, and ROI.

Execs, founders, and business owners who need to set the AI strategy for their org and can't afford to make costly mistakes

Who should take this course

Companies are already seeing huge results...HubSpot improved email performance by 70%, Gumroad increased feature releases by 300%. Don't reinvent the wheel. Learn directly from real, behind-the-scenes case studies - and leave with a tangible plan for your team.

Leapfrog to picking 2-3 of the most impactful AI use cases based on what top AI leaders are doing

Decision fatigue is real -- and not all use cases need to be custom-built (and who has engineering resources for that, anyway). You'll be able to confidently decide how you should implement each use case to maximize speed to value. We'll apply this framework together in real time

Steal my framework for quickly deciding whether to Build, Buy, or "Vibe Code" AI solutions

Learn how to prompt AI agents like a boss, pick the right platform (Zapier, Make, ChatGPT, N8N), and start to automate your own work so you can deliver 10x more value.

Vibe code your AI "quick wins" live

74% of companies are struggling to see value beyond an AI proof of concept. We'll cover what makes a good AI deployment (to AI agent or not to AI agent) so your efforts stay relevant and scale over time. We'll analyze real situations from within the cohort.

Deconstruct the best practices and top mistakes companies make when deploying AI internally

AI tech isn't even the hardest part -- AI leaders are putting 80% of their effort into aligning people and processes. You'll leave with a clear, actionable roadmap to transform your team into an AI-Native powerhouse.

Create your own "Why We're Going AI Native" narrative to gain buy-in from your team

Pick winning AI use cases, gain confidence in executing your AI plan, and get recognized by bosses and clients for being AI-native

Lightning Lessons

Lessons Learned from Building a Real Multi-Agent AI App