Your Trainer
Tara Bosenick has been a UX specialist since 1999 and played a key role in shaping the German UX industry. With her extensive experience in developing and systematizing UX methods, she has the expertise to apply AI tools in a methodically sound way.
She understands the real challenges of UX work and knows exactly where AI can add value – and where it cannot. Her strength lies in making complex methods practical and empowering teams to consistently achieve better results.
Her passion has always been creating inspiring company cultures where innovation, quality, and teamwork come together. She is recognized as one of the leading voices in UX, CX, and Employee Experience.
Matthias Mückshoff is co-founder of KONO Studio and heads the Product Lab. With a blend of startup DNA and corporate know-how, he brings the best of both worlds: as an AI founder he knows the dynamics of young companies, and from his time at Allianz and Kaiser X Labs he understands how innovation works within large organizations.
He develops practical AI products with teams – ranging from smart everyday assistants to new digital business models. In workshops, he makes AI tangible: highlighting opportunities, resolving bottlenecks, and creating aha moments.
His strength lies in untangling complexity, translating knowledge into simple processes, and empowering people to gain a new perspective on their work. Together with Tara Bosenick, he builds solutions for clients that deliver measurable value and can scale smartly.
Anyone can write prompts – but developing an AI assistant that truly supports professional UX work is a whole different level. Many teams get stuck with simple ChatGPT requests and miss out on the real potential: systematic, reliable AI assistants that can handle complex UX tasks.
The problem? There’s a big gap between a simple prompt and a production-ready assistant. Most people don’t know how to turn their AI tools from a “fun experiment” into an “indispensable team member.” The result: lots of trial and error, with few sustainable solutions.
Let’s do it systematically. In this seminar, you’ll build a complete UX assistant – step by step, from a simple prompt to a robust, tested solution that tackles your real-world challenges.
Why You Should Attend
From Prompt Amateur to Assistant Pro: Learn the systematic craft of assistant development – methodical, not trial-and-error.
Real-World Usability, Not Demo Magic: Build an assistant that performs reliably even in challenging scenarios, not just perfect test cases.
Structured Approach: Understand the 4-stage maturity model and apply it systematically to your own use cases.
Immediately Applicable Knowledge: Walk away with a functional UX assistant and the know-how to build more.
Testing & Quality Assurance: Learn how to stress-test AI assistants and prepare them for production.
Automation as the Next Step: Understand how to integrate assistants into real workflows and automate processes.
What to Expect
Welcome & The World of AI Assistants
From Prompt to System:
What differentiates a simple prompt from a professional assistant?
Live demo of the finished "UX Briefing Checker" as a target example
Understanding the 4-stage maturity model
Expectations alignment and workshop goals
Stage 1: The Basics – From Generalist to Knowledge-Based Apprentice
Integrating domain knowledge systematically:
Experience the limitations of generalist AI responses
Build a structured knowledge base from real examples
The “Aha moment”: when answers suddenly become specific and consistent
Hands-on implementation on the UX Briefing Checker
Knowledge base design and maintenance
Stage 2: Structure & Transparency – Becoming a Transparent Reviewer
Professional outputs and traceable evaluations:
Develop response templates for clear, professional structure
Expand templates for evidence-backed evaluations
Make the “thinking process” understandable for stakeholders
Consistent formats for different use cases
Integrate reasoning and justification logic
Stage 3: Quality & Robustness – Becoming a Reliable Colleague
Making it production-ready:
Systematic testing with targeted weak-point analysis
Develop stress-tests for difficult edge cases
Use in-prompt examples to refine behavior
Identify and elegantly solve edge cases
Quality assurance and error handling
Balance robustness vs. flexibility
Stage 4: Transfer & Outlook – Automation and Integration
From assistant to integrated partner:
When is automation worth it?
Integrate AI assistants into existing workflows
Understand tool connections and API integrations
Plan process automation with AI assistants
Evaluate ROI for automation projects
Change management for AI integration
Use-Case Clinic – Your Next Assistant
Apply learned principles to your own ideas:
Small group work on individual use cases
Apply the maturity model to your own challenges
Plan the first steps for your next assistant
Peer feedback and expert tips
Roadmap for your own assistant development
Who This Seminar is For
This seminar is designed for UX professionals who want to go beyond simple prompts and develop systematic AI assistants:
UX Designers looking to intelligently automate repetitive tasks
UX Researchers aiming to leverage AI for systematic analysis and evaluation
Design Operations Teams building scalable AI tools for their teams
Product Managers optimizing UX processes with AI assistants
UX Leads & Managers establishing AI-driven quality assurance
All UX Professionals eager to systematically learn the craft of assistant development
What you’ll take away
Systematic assistant development – the 4-stage maturity model for professional AI tools
Build knowledge-based assistants – integrate expertise in a structured way
Structured output formats – professional templates for consistent results
Robustness through testing – identify weaknesses and fix them systematically
In-prompt engineering – advanced techniques for reliable responses
Automation and integration – embed your assistants into real workflows
AI
Workshop: Master Advanced Prompting & AI Assistant Creation for UX Professionals
Systematic Assistant Development – the 4-stage maturity model for professional AI tools
Discover our Workshops