Frank Spillers UX Inner Circle

10 things AI changes about software design in 2026

Microsoft

Intel

Department for Work and Pensions

Capital One

Nike

Frank Spillers

Frank is a 25-year UX & Service Design expert helping teams adapt to AI-First UX

Get the core shifts that redesign how teams think, plan, and deliver AI-enabled products.

10 shifts every team must make to build for AI services

Learn design habits that support AI-First UX and keep users, context, and intent in the loop.

Scale your team's AI process

See where sprint planning, refinement, and decision points must reset for safer, more reliable AI experiences.

How AI changes your Agile workflow

Use a simple checklist your team can adopt to reduce risk, manage drift, and design user-led AI services.

Apply tested patterns and behaviors

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

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 8-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

An 8-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

Go beyond interfaces—shape how intelligent systems behave.

AI Design Leader |  x-Uber/Google/Amazon

Stanford University

Amazon

Google

Uber

Rupa Chaturvedi

AI Design Leader | AI enablement for UX orgs | ex-Uber, Google, Amazon, Stanford

Cohort 2

AI is fundamentally changing how software products are being built. Companies are integrating large language models, agents, and adaptive systems. But user experience is often an after thought.The challenge? Designing for AI isn't like designing for traditional software. It's about system behavior, adaptation, and collaboration between humans and machines.If you've launched an AI feature only to watch users abandon it because they didn't understand what it was doing, or if you've been asked to "design the AI experience" but weren't sure where to begin, this course is for you.The Designer's Role Is EvolvingOpenAI and Zillow recently posted Model Designer roles focused on shaping how models behave. AI design roles are becoming mainstream, and designers are increasingly being pulled into agentic workflows. This signals where the discipline is headed: designers who can work upstream, influencing what systems learn, how agents act, and when they surface decisions to users.The discipline is shifting upstream. Designers must now shape what systems learn, how agents behave, and when to include humans in the loop - not just style the interface.

The AI Tech Revolution Is Redefining Design

Understand Model Capabilities and Constraints

Specify and Evaluate Model Behavior

Design for Adaptive and Emergent Systems

Build Trust Through Transparency and Human Oversight

Design Agentic Workflows and Multi-Step Interactions

 Influence Upstream Product Decisions

Senior UX &amp; Product Designers: Deepen your systems thinking skills and learn to design around model behavior

Design Leads &amp; Heads of UX: Guide teams, shape AI product strategy, and lead with system-level thinking and trust design.

AI-Aware PMs &amp; Researchers: Collaborate better with design, align model goals with UX, and support trust focused, adaptive systems.

You'll learn how to design AI features that people understand, use and trust — with practical UX guidelines and tons of real-life examples.

Sr. UX Lead • LinkedIn Top Voice in UX

European Parliament

Lexware

Otto Group

Axel Springer SE

SmashingConf

Vitaly Friedman

20 years of experience • Senior UX Lead @ EU Parliament • Speaker • SmashingMag

A practical guide on how to design AI features that people actually understand, use and trust.

Winter 2026

As product teams rush in launching AI features, they quickly face a roadblock. Too often AI tools have very low adoption and retention, they are painfully slow and unreliable, responses are walls of text and users have to ping-pong between prompts, over and over again. Let's fix that!In this course, you’ll learn:<ul><li>100s of real-life examples and UX guidelines</li><li>Practical design patterns for AI products</li><li>Recent UX research on AI UX and accessibility</li><li>How to build trust and confidence for AI</li><li>How to capture and design for user's intent</li><li>How companies design AI features, where they fail and succeed</li><li>Everything senior designers must know to design effective AI experiences</li></ul>No fluff, no theory — just what actually works in real products. Expect a practical journey with actionable design guidelines — from efficient prompting UX to effective output and refinement journeys, along with frequent UX and accessibility blockers.<h2>The workshop includes:</h2>🪴 Real case studies from real products🔬 All video recordings, slides, resources, templates🎯 Hands-on tasks and actionable insights👋 Live interactive sessions and feedback👫 Dedicated time to answer all your questions🏅 Well-deserved certificate for your hard work

How to design AI products that people actually use.
 

State of AI UX in 2026

Design Patterns For AI Products

Boosting AI UX In Complex Products

Designing For Trust and Confidence

Real-Life Case Studies

AI Design Workflow, From Start to Finish

We’ll be spending a lot of time, sketching, designing and thinking. 

Be ready to challenge your general view of the AI design proces.

☕️ Bring your preferred coffee mug!

Product&nbsp;designers who want to understand the constraints of AI and how to design effective AI experiences that people trust and use.

UX Leads who want to learn how to design feasible and effective AI features that don't frustrate people but help them get their work done.

Interface designers&nbsp;who want to boost their AI design skills and understand what makes a truly incredible AI experience.

Go from traditional designer to AI-powered designer in 4 weeks

Award-winning product design leader

Adobe

Airbus

Mitsubishi Motors

Nick Babich

Product Design Leader with multiple Red Dot Design Award and Webby nominations

Over 60% of designers are currently using AI tools in their workflows to gain an advantage.It can be hard to keep up with the fast-changing world of AI. If you’re a seasoned designer looking to embrace the AI shift quickly, or you’re just entering the product design field and want to build a strong technical foundation, this course is for you.We’ll go beyond theory and focus on practical, hands-on learning. You’ll master essential AI tools and develop real-world skills that will help you become an AI design expert in just 4 weeks.<h2>How this course works</h2>This course is a cohort-based, live online course focused on teaching designers and product professionals how to use AI tools to streamline the product design process. Over the span of four weeks, you will go from an initial product idea to a fully built, coded ready-to-ship product, gaining practical experience working with AI tools.<h2>Why should you learn from me?</h2>With a couple of decades of hands-on experience building digital and AI-powered products, I’ve been in the trenches long before “AI design” became a buzzword. I’m not just teaching theory, I’ve spent years designing, shipping, and scaling real products used by millions.

Master AI design tools to streamline your workflow

Learn effective AI prompting techniques to achieve better results with AI

Integrate AI into your design process 

Use right AI design tools in your design process

Product designers who want to integrate AI tools into their workflow and design faster and more effectively.

Managers, PMs, Engineers and other professionals new to AI design space, looking to expand their expertise

UI designers who want to elevate their AI design skills and craft a truly exceptional experience