Elisabeth Hendrickson

Engineering executive. Systems thinker. Author, Signals & Levers and Explore It!

Three Illusions in Software Delivery

Joel Tosi

CTO/Technical Coach. Systems Thinker. Author Signals & Levers, Create Your Dojo.

Dispel illusions so you can see what's real, then make better decisions.

How to spot common illusions

Software delivery is non-linear and adaptive. When you poke the system, the system pokes back.

Why improvement attempts often backfire

Learn to read signals and find better levers...but sometimes the best thing to do is nothing.

When and how to intervene (or not)

Get from scattered prompts to semi-automated systems that run with minimal time from you—and run evals to find what works best.

Training teams at YouTube, Canva, Maze +

YouTube

Canva

Figma

Ramp

Caitlin Sullivan

Ex-Head of UXR in Product Team - Spotify Business, Advisor, Top 100

Cohort 2

Cohort 3

In 2 weeks, you'll go from Claude running superficial scans of your discovery data to airtight decisions from continuous workflows. No missed hidden gems. No hallucinations you didn't catch. Just insights you can actually bet your career on. From workflows that let you gather customer signal on repeat. Free Claude Code tutorials teach you how to use the tool to go faster. But faster can also = superficial. This course teaches you to build insight systems that are fast, validated, and run with minimal effort. -- You'll build systems that: - Have trustworthy verification built-in - Apply your own style and process that you know works - Minimize unnecessary context window/token use - Deliver customer signals in half the time

10x faster insights—that are actually right.

Build systems for insights that are FAST *and* RIGHT

Connect + update everything, export nothing

Know what works -- and prove it

Ship with confidence

You have a computer you're allowed to install Claude Code on, give file access to, and you'll use it in the Terminal. 

You're allowed to use Claude Code on your computer

Claude Pro or Max subscription (from $20/month), or Anthropic developer console account with credits (pay as you go).

You have Claude Pro or Max

You don't need to know how to do anything in there yet, but you *must* have set up Claude Code before the course dates begin.

You have Claude Code set up in your terminal, logged in with an account

You're a PM who's watched free Claude Code tutorials--but know you can't trust their superficial synthesis. You need systems for big bets.

You're a Researcher or Designer who want to 10x your analysis speed without sacrificing reliability.

You're making product decisions from qualitative or quantitative customer data<ul><li></li></ul>

By the end of this course, you’ll transition from a software engineer to a confident AI engineer—able to identify the right problems, design

AI Engineer & Consultant for F-500 firms

Qualcomm

Wipro

Sujeet Mishra

AI Engineer | Entrepreneur | AI Consultant & Trainer for Fortune-500

AI/ML | Search | Ex-Microsoft, Yahoo

Apple

Microsoft

Yahoo

Prasenjit Mukherjee

Adjunct Faculty | Quantum ML & Big Data | Ex-Microsoft, Yahoo | IIT Madras

Cohort 1

For software engineers, moving into AI engineering is not just about learning new tools—it’s a mindset shift.Over the past year, we’ve worked with engineering teams, from Fortune 500 companies to unicorn startups, helping them adopt AI-native and agent-based systems. One pattern shows up repeatedly: engineers don’t struggle because they can’t build, but because AI systems behave very differently from deterministic software.⚙️ Engineers must learn how to design, evaluate, and operate probabilistic systems, reason about failures and trade-offs, and think end-to-end—from use-case identification to production and scale.Many engineers hesitate because they believe AI engineering requires deep ML or statistics expertise. In reality, modern AI engineering is about system design, evaluation, observability, and production readiness—skills engineers already have but need to apply in a new context.🚀 This course provides a practical 6-week roadmap to make that transition by building and extending a real, production-grade agentic system.By the end, you won’t just understand AI systems—you’ll think and operate like an AI engineer.For queries, write to us: ai-education@theseuslab.ai

A 6-week roadmap for software engineers to become production-ready AI engineers

Use LLMs to 10x day-to-day engineering productivity

Design and build agentic systems using LangChain/LangGraph

Build reliable agentic systems by designing for evaluation and observability

Take AI ideas from use-case discovery to production and scale

Apply everything you learn to a real, end-to-end capstone project

Basic understanding of SDLC concepts like databases, APIs, frontend/backend systems, and servers

Familiarity with Software Engineering Fundamentals

Some programming experience, even if not recent—or willingness to spend ~8 hours pre-course to learn Python (we will provide resources)

Prior Programming Exposure (or Willingness to Ramp Up)

Openness to learning, experimenting, and thinking differently

Curiosity and Willingness to Experiment

Software engineers looking to transition into AI engineering roles and build production-grade AI systems

AI engineers and data science professionals who want to get a hands-on experience of building, evaluating and scaling agentic AI applications

Product managers and Tech leaders seeking a practical, system-level view of how production-ready AI applications are designed and shipped

Strengthen inner confidence, inspire others, and sharpen leadership skills through hands-on exercises and real-world tools

Leadership Coach 

Ha Tran

Founder, Ex-Google, Chief of Staff, U.S Department of State Professional fellow

In high-stakes moments, three things show up at once: 1. what you know is true2. what it might cost3. what you think you should do Most people try to resolve this by thinking harder or speaking better.It does not work. Because the problem is not clarity. The problem is authority. When no one is clearly leading, you: - hesitate even when you know the answer- over-explain to justify your position- say something, then walk it back- leave conversations feeling misaligned This is not a confidence issue. It is a governance issue. What changes after this workshop- You speak without over-explaining or softening your position- You make decisions faster without needing full certainty- You stop negotiating against yourself in real time- You handle pushback without collapsing or escalating- You stay aligned with your decision after the conversation ends This workshop is for you if: - You know what you want to say, but change it in the moment- You make decisions, then second-guess them after- You feel tension between what is true and what is acceptable- You are seen as capable, but do not feel fully in control under pressureMaximum 20 people/workshop to keep it intimate and practical.

You are not confused. You are running multiple leaders.

Make decisions under pressure without internal conflict

Senior leaders and managers looking to lead with conviction and assurance.

High-performing professionals who want to build stronger, more confident leadership skills.

Emerging leaders who seek to develop self-assurance, overcome self-doubt, and project confidence in high-stakes situations.

Stop describing the tool someone should build. Go build it yourself today.

Enterprise AI Trainer | Forbes 30U30

Justin "Mr. Fascinate" Shaifer

Product Leader 

Gabriel Williams

Product Leader | Decade of building for entrepreneurs

First Class

A live hands-on workshop for service providers and non-technical professionals who want to turn their work into a software people will pay for. You'll leave with a working prototype that you can test in the market. You've said out loud, more than once, "someone should build a tool for this." But every time you've tried, the cost was too high. Over the past 18 months, AI coding tools have made it easy for anyone to launch their own software. Your advantage is your years of domain expertise and a clear idea. This hands-on workshop will guide you through the full product process - validation, scoping, building, testing - compressed into one focused day. You're not learning to code. You're learning to direct AI to build the product you've wanted to build for years.

Leave with a working prototype - no technical experience required

Score your idea before building

Write an MVP requirement doc that solves a primary problem

Build a shippable prototype in under 2 hours

Requesting feedback

Service business owners who've said out loud "someone should build a tool for this."

Solo founders who keep noticing the same problem across their business and customers.

Non-technical professionals who want to bring internal tools to their team.

Agentic AI

Coding with AI

AI Workflows

Claude Code

OpenClaw

Vibe Coding

AI Evals

AI Transformation

RAG & Search

AI for PMs

AI for Engineers

AI for Designers

AI for Marketers

AI for Founders

Product Sense

Product Discovery

User Research

Prototyping

Growth

Analytics

Tech Foundations

Strategy

Influence

Leadership

Career Growth

Machine Learning

LLM Ops

Context Eng

Security

System Design

Design Systems

Visual Design

Design Strategy

Automation

Content Marketing

Demand Gen

Go-to-Market

Product Marketing

Positioning

Social Media

Brand

B2B Marketing

SEO & AEO

AI for Leaders

AI Governance

Communication

Management

People Operations

Exec Presence

Storytelling

Goal-setting

Personal Brand

Fundraising

Everyone

Operators

Data Scientists

Business Analysts

User Researchers

Customer Success

Project Managers

HR Professionals

Sales People

Lawyers

Finance

Investors

Real Estate

Educators

Creators

Pre-Show Banter & Setup

Technical & Logistical Preparation

Welcoming Attendees & Setting Expectations

Introduction & Session Goals

The Illusion of Predictability

The Illusion of Progress

The Illusion of Control

Unintended Consequences & Backfiring Interventions

Software Development as a Socio-Technical System

Community Discussion on Backfiring Systems

Using Causal Loop Models to Understand Systems

Lever 1: Identifying and Making Different Choices

Case Study: Investigating the Root Cause of Slow Releases

Lever 2: Adding a Counter-Balancing Influence

Conclusion & Q&A: Acting on the Cause of Pain

Q&A: Measurement, Metrics, and Final Thoughts

Executives and senior leaders who set strategy, lead teams, and drive organizational outcomes.

Engineers and engineering leaders who build, deploy, and scale software systems.

Project managers who organize and oversee execution of initiatives, timelines, and cross-functional delivery.

Setting strategic direction, making high-stakes decisions, and translating vision into execution.

Day-to-day people management — 1:1s, feedback, performance management, hiring, and team operations.

Designing scalable, reliable software systems — architecture patterns, distributed systems, and technical tradeoffs.

Three Illusions in Software Delivery

What you'll learn

Why this topic matters

You'll learn from

Elisabeth Hendrickson

Joel Tosi