<aside>

Many people will lose their well paid jobs. Investment bankers, lawyers, consultants, accountants, doctors, designers, architects and others. It will be brutal folks, buckle up. Michael A. Arouet via X


Many of the most important "prompt engineering" skills are management skills: clearly understanding the task to be done & what information is needed to do it; explaining the task to the AI; giving useful feedback to improve outputs; & generalizing lessons learned into a process. Ethan Mollick via X

</aside>

<aside>

Decision Clarity


Challenge Most organizations can produce impressive plans and decks, but they struggle to make decisions that survive scrutiny. Clean wording collapses as soon as legal, finance, IT, or works councils ask hard questions, and AI now multiplies fragile text faster than anyone can review it. My work focuses on the gap between good-looking narratives and defensible commitments by turning AI-shaped drafts into clear decisions that people can actually stand behind.


Decision Clarity System The Decision Clarity System creates a project-level backbone made of explicit, testable decisions. For one concrete project situation, AI generates rough candidate sentences, and each one is kept, corrected, or rejected based on real incentives, constraints, and political pressures. The result is a set of atomic decisions that stand on their own, contain explicit trade-offs, fit together without contradictions, and can be reused across all project documents.

Decision Clarity System (EN)


Videos and document examples The videos and examples on this site show how the system works in practice using one reference project and one reference document. Each video focuses on a specific project area, exposes where AI-generated drafts fail, and shows the minimal corrections that make the decisions defensible. The long-form documents extend the examples with more items and complete reasoning chains so you can see how the method applies to real initiatives.


Services Our services apply the same logic to live projects and defined areas of responsibility. In a one-time project review, we rebuild your decision backbone from existing drafts, expose fragile assumptions, and return a clear, defensible set of decisions you can rely on everywhere. With ongoing support for a specific project or a broader area, such as a program or function, we maintain and tighten the backbone over time so decisions stay explicit, coherent, and robust as initiatives and stakeholders evolve.

</aside>

<aside>

About us


We are Miriam and Christian Ullrich. Christian is an IT sourcing consultant with ten years of experience and an early adopter of ChatGPT/Copilot in this field. He doesn’t just talk about ChatGPT/Copilot; Christian actively uses it in client projects, reducing his workload by 80%. Miriam utilizes ChatGPT/Copilot to create learning guides and further develop our business.

Made by ChatGPT. (Therefore not exactly us.)

Made by ChatGPT. (Therefore not exactly us.)

</aside>

<aside> <img src="/icons/mail_gray.svg" alt="/icons/mail_gray.svg" width="40px" />

Contact us: EmailSchedule meetingPhoneLinkedIn

</aside>

<aside>

Other resources


</aside>


Homepage | Terms of service • Privacy policy • Legal notice