Chimera

Learning to Speak Code

Sean Thielen-Esparza

Building AI-powered storytelling tools as a creative technologist at Complex.

Language to precisely control AI coding agents.

Ship alongside other developers with confidence.

Personalized toolkit for AI programming.

Path towards understanding & writing code yourself.

The Problem: Your AI applications create content that is generic, uninsightful and surface-level; you are trying to solve complex, context-specific problems but outputs don't embody your company's intelligence or expertise. The Solution: We teach you evergreen frameworks for building generative systems that learn from your organization's unique data and implicit workflows, turning your expertise into a scalable asset. We focus on the unglamorous but essential work required to harness data with generative AI. You will learn data plumbing, collaborative prompt design, and iterative evaluation to differentiate and de-risk your AI roll-outs.&nbsp; Thing is, your company’s competitive advantage isn't in the raw information, it's in your process. It's the time-proven methodologies your experts use to arrive at insights and deliver unique value. Success with AI comes from converting this 'human excellence' into a scalable, automated system. You will learn how to extract your team's 'unwritten rules' and best practices, ensuring they are faithfully translated into reliable AI outputs. You'll master how to involve experts at every stage of the development process — from initial design and data classification to iterative refinement and ongoing evaluation. You won't just learn this in theory. You will put these frameworks into practice by building a hands-on, contextualized prototype throughout the course. We encourage you to bring in your own datasets and organizational challenges, allowing you to build a tailored solution that directly addresses your unique needs. We have been tranfering best practice onto genAI for half a decade with diverse, knowledge-driven organizations like Visit California, the BBB Wise Giving Alliance and Institute for the Future. For the price of a single course, you get both the proprietary frameworks we use with these organizations as well as our direct support, acting as your on-demand consultants and technical guides to help you apply them within your own knowledge ecosystem. This course if perfect for you if you:- Expect to fill the role of the "AI Point Person" - leader, manager, or consultant responsible for strategic AI implementation.- Are responsible for knowledge architecture or leading cross-functional teams (e.g., experts + developers) to bridge the "data-to-decision" gap.- Want to move beyond generic tools and build context-aware, agentic systems using a principled, no-code/low-code methodology. This course is NOT for you if you:- Are looking for a "learn-to-code" bootcamp; I'll be happy to explore more code-heavy applications in our one-on-one, but the content focuses on high-level frameworks and no-code/low-code tool implementation.- Are looking for laid back content consumption. That you get on YouTube for free. Here we expect you to bring your own organizational challenges and be ready to solve real problems in your work using the material.

Transform Your Organization's Expertise Into AI-Powered Competitive Advantage

Course syllabus

Synchronous zoom lecture on Tuesday, focusing on the conceptual backbone of AI agent functionality and applications. Recordings of class will be available soon after its completion.

Tuesday

An async walkthrough will guide you in building functional prototypes of AI Agents. You will get to shape the project deliverable. Lecturers will be available by email, during office hours and via one-on-one sessions throughout the week for questions and support.

Weekly projects (async)

Optional office hours where you can ask questions and receive personal guidance on developing your AI applications.

Tuesday & Thursday

Schedule 1:1 coaching time with instructors for individualized help with your hands-on projects, privately thinking through a use-case, or whatever else you need.

1:1 Coaching

Course schedule

Executive Leaders who need a framework to convert their company's domain expertise and workflows into a scalable, competitive AI asset

Project/Product Managers who need a framework to bridge domain knowledge with technical teams to scale expertise with AI

Consultants who want to guide clients in building differentiated, insight-driven and context-aware AI solutions

Who is this course for

What you’ll get out of this course

Master the end-to-end methodology from initial requirements to production launch, including risk assessment, phased implementation, and organizational adoption strategies that minimize disruption while maximizing competitive advantage

Strategic AI Integration Frameworks

Transform unstructured institutional knowledge like meeting transcripts, reports, and backlogs into agentic systems that prevent your expertise from walking out the door with the next turnover

Culture Capture From Unstructured Data

Design and implement human-in-the-loop evaluation systems and testing methodologies that ensure trust, relevance, and reliability

Quality Assurance and Evaluation Frameworks

Navigate technical tradeoffs across compliance, latency, and cost vectors while managing non-technical stakeholders through AI development cycles and scope definition

Strategic Decision-Making and Project Management

Update your awareness with strategic foresight and thorough ecosystem analysis of AI affordances in specific industries, domains and modalities, enabling informed investment decisions and long-term positioning

AI Ecosystem Intelligence and Future Planning

Automate and amplify institutional knowledge through AI agents that embody your cultural DNA

Cohort 16

Lev Gorelov, MS

Jeremy Kirshbaum

Cohort 15

Cohort 17

We show you what's possible with AI, then take you there.

Founder | Meta/Amazon/Statsig/Tencent

Statsig

Amazon

Boston Consulting Group (BCG)

Tencent Games

Yuzheng Sun, PhD

Prev. Evangelist @ Statsig (Acq. by OpenAI), AI Director @ Tencent; Meta/Amazon

Applied Scientist | yage.ai

Yan Wang, PhD

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

Cohort 10

Cohort 11

Is this you?<ul><li>Chatting endlessly with an “AI intern” instead of designing the context with clear principles.</li><li>Blaming “hallucinations” when the real issue is poor orchestration.</li><li>Trying to run an entire project from a single, overloaded chat window.</li><li>Treating AI like witchcraft and prompt spells instead of engineering.</li></ul>AI gets better every day. But when it’s time to ship something serious, you don’t yet have a reliable way to make AI show up for you.The problem isn’t AI. It’s how you’re using it. This course exists for that exact gap.AI is a new computiung paradigm. To use it well, you have to:<ul><li>Unlearn old patterns</li><li>Install new mindsets and habits</li><li>Build a meta-learning system that can carry your career for the next 20 years</li></ul>That's hard, and we take it seriously. This course is designed to teach you how to fish. On top of lessons and projects, we built two unique tools:<ol><li><a target="_blank" rel="noopener noreferrer nofollow" href="https://youtu.be/dXjcy6XSN_Y">A build platform</a> that consolidates key APIs and lets you deploy your projects with one command—so you can build fast, not fight boilerplate.</li><li><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.superlinear.academy/c/share-your-projects/">A lifetime community</a> where you can share projects, ask questions, and get unstuck long after the course ends.</li></ol>The end of our course is the beginning of your learning, and we will be with you.

Learn AI for the Next 20 Years, Not the Next 20 Days

Build and deploy functional AI prototypes.

Develop a durable framework for learning.

Become the go-to AI strategist in your role.

Software Engineers &amp; Developers Ready to build reliable, scalable AI systems integrated into production workflows.

Technical Product Managers &amp; Strategists Seeking the hands-on knowledge to scope, architect, and guide AI initiatives with confidence.

Data Professionals &amp; Automation Experts Who want to transform proof-of-concept scripts into durable applications that multiply productivity.

Make it code like you do. Turn generic AI assistants into coding partners that actually get your style and have the right context.

AI Leader, ex-Microsoft, ex-Google

Microsoft

Google

Canonical

Eleanor Berger

Founder, Builder, OSS, & Consultant

Travel + Leisure

Cable & Wireless Communications

SpecStory

Answer AI

AnkiHub

Isaac Flath

Founder of Kentro Tech

Cohort 1

Cohort 2

Stop wasting time with generic AI suggestions. Learn to create a personalized AI coding partner that actually understands YOUR specific context and requirements, regardless of which AI tool you use (Cursor, Copilot, Amp, Claude Code, Windsurf, etc.).・Focus on real-world applications・Vendor-agnostic approach ensures long-term value・Continuous improvement through automated pattern analysis・Practical tools you'll use daily in production environments-Course Overview・Duration: 3 weeks, 12 live sessions・Format: Cohort-based course・Goal: Transform generic AI assistants into personalized coding partners that understand your codebase, patterns, and needsEach part (week) of the course includes:・2 live lessons・Office hours session (Q&amp;A and discussion)・Live practice session・Homework assignment (with both beginner-friendly and stretch exercises)・Pre-reads and lesson materials・Deep-dive collections (optional) for further studyIn addition, learning continues with:・Questions and discussions in the course Discord server・Guest lectures・Student exchange and collaboration Companies Our Students Are From・Amazon (AWS)・Microsoft・Google・X・Shopify・Cisco・LinkedIn・Red Hat・DocuSign・Booz Allen Hamilton・and more

Transform generic AI assistants into personalized coding partners

Spec First Planning and Context

Universal AI Setup System

AI Tools Setup And Usage

Enterprise Use and Security

Asynchronous agents

While this is not a coding course, this content is to help people code

Coding Experience

Developers who want to build technically solid solutions with confidence

Coders who want to move from copy-and-paste to consistent and reliable AI-assisted development skills

Engineers and leaders who need to adopt and grow dependable and repeatable AI-assisted software development processes

Ship production features 2x faster by using coding agents across research, planning, implementation, testing, and review workflows

Creator of Stanford's AI Coding Course

Stanford University

Y Combinator

Mihail Eric

Created Stanford's first AI coding class. Former YC founder and Amazon AI lead. 

Today many developers use AI, but few are truly productive with it. I created Stanford's first AI software development class, and after building a YC-backed coding company and leading AI at Amazon, I've seen how top engineers integrate AI into production workflows. My techniques have been used to train 200+ Stanford engineers and industry professionals.My goal is simple: make you dramatically more productive writing software with AI than without it.In this course, you'll learn practical, end-to-end workflows for using AI in real-world development, not toy examples. We'll cover:<ul><li>Building production features with AI agents using the research → plan → implement → test workflow</li><li>Configuring an AI native dev environment for your specific tech stack (IDE, code review, tool integrations, and beyond)</li><li>Setting up review and CI processes that catch AI errors, hallucinations, and slop before production</li><li>Enabling multiple agents to work together on the same codebase without conflict, accelerating software delivery and throughput</li></ul>If you're ready to write better code, ship faster, and stay in control of your stack, let's get started.

Increase developer productivity with AI-first, production-ready workflows

Configure optimal AI-first developer environments to improve your coding output

Learn how to navigate the ecosystem of cutting-edge AI developer tools 

Exercise effective strategies for prompting and building with coding agents

Reduce hallucinations, software errors, and AI slop all while shipping faster

Become a manager of coding agents so you can keep many agents productive 

Develop a deep intuition for how AI coding platforms work under-the-hood

Engineers who want to increase their productivity with AI-generated code while making it actually production grade.

Engineering managers who want to ensure their teams aren't being left behind when it comes to the new way of developing software.

Those confused about how to develop with AI the right way (how to maintain context and manage multiple agents without compromising code)