Your Trainer
Tara Bosenick has been a UX specialist since 1999 and helped build the German UX industry. With her years of experience in the development and systematization of UX methods, she brings the perfect understanding to develop AI tools with a sound methodical foundation.
She knows the challenges of real UX work and knows where AI can truly support – and where it cannot. Her expertise lies in making complex methods practical and empowering teams to systematically achieve better results.
In doing so, she has always been interested in creating cool corporate cultures where innovation, quality, and team spirit come together. She is one of the leading voices in the UX, CX, and Employee Experience industry.
Matthias Mückshoff is the co-founder of KONO Studio and heads its Product Lab. With a mix of startup DNA and corporate understanding, he brings together 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 knows how innovation works in large structures.
He develops practical AI products with teams – from smart everyday helpers to new, digital business models. In workshops, he makes AI tangible: clearly identifying opportunities, solving bottlenecks, creating aha moments.
His strength lies in untangling complexity, translating knowledge into simple processes, and empowering people to develop a new perspective on their work. Together with Tara Bosenick, he builds solutions with clients that deliver measurable value and can be scaled smartly.
What you’ll take away
Systematic skill and assistant development – the 4-stage maturity model for professional AI tools
Creating knowledge-based skills – how to integrate domain knowledge in a structured way instead of explaining it anew in every chat
Structured output formats – professional templates that travel within the skill and deliver consistent results
Robustness through testing – finding vulnerabilities and systematically fixing them before your colleagues do
In-prompt engineering – advanced techniques for reliable answers
Automation and integration – how to share skills within the team and embed assistants into real workflows
What It's About
Anyone can write prompts. But a prompt that you pull out of a hat in every new chat is not a tool – it is manual labor with extra steps. And an AI assistant that truly supports professional UX work is in a completely different league.
The problem? There is a world of difference between a simple prompt and a production-ready assistant – and most teams skip exactly the piece in between. Namely the skill: a package of instructions, domain knowledge, and templates that the AI pulls exactly when it needs it. Reusable. Sharable. Testable. Without this intermediate step, AI remains a nice gimmick instead of an indispensable team member. A lot of experimentation, but little that lasts.
Let's do this systematically. In this seminar, you will build a complete UX assistant – step by step, from a simple prompt to your first own skill, all the way to a robust, tested solution that masters your real work challenges.
Why You Should Attend
From prompt amateur to skill professional: Learn the systematic craft of skill and assistant development – methodically structured, not through trial and error.
Genuine practical viability instead of demo magic: Develop an assistant that functions reliably even in difficult situations and doesn't just shine in the perfect test case.
Structured approach: Understand the 4-stage maturity model and apply it systematically to your own use cases.
Immediately applicable knowledge: Walk away with a functioning UX assistant, your first own skill, and the know-how to build more.
Testing and quality assurance: Learn how to stress-test skills and assistants and make them fit for productive use.
From lone wolf to team asset: A good skill isn't just yours. Understand how to share it, develop it further, and integrate it into processes.
What to Expect
Welcome & The World of AI Assistants
From prompt to system:
What distinguishes a prompt from a skill – and a skill from a professional assistant?
Live demo of the finished "UX Briefing Checker" as the target vision
Understanding the 4-stage maturity model
Expectation alignment and workshop goals
Stage 1: The Foundation – From generalist to knowledge-based trainee
Integrating domain knowledge systematically:
Experiencing the weaknesses of generalist AI answers
Building a structured knowledge base from real examples
Turning knowledge into a skill: Instructions, reference material, and examples in one package
The "aha effect": When answers suddenly become specific and consistent
Practical implementation on the UX Briefing Checker
Knowledge Base Design and Skill Maintenance
Stage 2: Structure & Transparency – Becoming a transparent reviewer
Professional outputs and comprehensible evaluations:
Developing answer templates for a clear, professional structure – and embedding them in the skill
Template expansion for evidenced evaluations
Making the "thought process" comprehensible for stakeholders
Consistent formats for various use cases
Integrating argumentation and justification logic
Stage 3: Quality & Robustness – Becoming a reliable colleague
Getting fit for practical application:
Systematic testing with targeted vulnerability search
Developing "stress tests" for difficult edge cases
Sharpening the skill description: When should the skill engage – and when is it better not to?
Using in-prompt examples to refine behavior
Identifying edge cases and solving them elegantly
Quality assurance and error handling
Balancing robustness vs. flexibility
Stage 4: Transfer & Outlook – Automation and integration
The path to becoming an integrated partner:
When is the step towards automation worthwhile?
Sharing, versioning, and collaboratively developing skills in the team
Integrating AI assistants into existing workflows
Understanding tool connections and API integrations
Planning process automation with AI assistants
ROI evaluation for automation projects
Change management in AI integration
Use-Case Clinic – Your own assistant / skill
Transferring learned principles to your own ideas:
Small group work on individual use cases
Applying the maturity model to your own challenges
Planning the first steps for the next skill
Peer feedback and expert tips
Roadmap for your own skill library
Who This Seminar is For
The seminar is aimed at UX professionals who want to go beyond simple prompts and systematically develop their own skills and AI assistants:
UX Designers who want to intelligently automate recurring tasks
UX Researchers who want to use AI for systematic analysis and evaluation
Design Operations Teams that want to develop scalable skills and AI tools for their teams
Product Managers who want to optimize UX processes using AI assistants
UX Leads and Managers who want to establish AI-supported quality assurance
All UX Professionals who want to systematically learn the craft of skill and assistant development
AI
Workshop: Advanced Prompting, Skills & Assistant Creation for UX Professionals
Systematic Skill and Assistant Development – the 4-Stage Maturity Model for Professional AI Tools
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