Paweł Jarmołkowicz — Innovation Consultant & Researcher with 20 years in the field, studying what AI does to our thinking, agency, identity, and the way we work together. Creator and curator of the Knowledge Base.
Paweł's websiteCurated Research Database on How AI Reshapes Thinking, Work & Self
Built for people who advise teams on AI adoption, write about it, teach it, or shape policy around it. Turn your generic AI into a research-grounded specialist.
AI is reshaping how we think, decide, and work. The research on what this means is scattered across disciplines, the field is new, and AI itself gives confident but shallow answers on this topic.
This knowledge base organizes 248 sources from cognitive science, HCI, organizational psychology, education research, and behavioral science into concepts that name what you're already experiencing, plus frameworks and practices you can apply. Give it to your AI, and it can help you write, teach, draft policy, or prepare an argument — grounded in research instead of generic knowledge.
How It Works
The knowledge pack is one downloadable file you give to your AI.
Download
One file. The full knowledge pack, a single markdown with all 426 entries.
Give it to your AI
Drop it into Claude Projects, NotebookLM, a Custom GPT, or any AI assistant that lets you upload files.
Prompt
Write an article, design a training, build a case — with AI grounded in research instead of generic knowledge.
Try These Prompts
Once your AI has the knowledge pack as context, try prompting it:
Get the Knowledge PackProfessional judgment
Using the knowledge pack, compare evidence on when AI improves professional judgment and when it weakens it. What conditions explain the differences? Cite sources from the pack and distinguish findings from interpretation.
Independent capability
Using the knowledge pack, examine whether better performance with AI leads to better performance without it. Compare findings and explain their limits. Cite sources from the pack and distinguish findings from interpretation.
Ownership and responsibility
Using the knowledge pack, examine how AI changes people’s ownership of their work and responsibility for outcomes. Distinguish feeling in control from having meaningful control. Cite sources from the pack and distinguish findings from interpretation.
What's Inside
426 entries: 73 concepts, 22 methods, 83 practices, and 248 sources. Every entry ties back to research or documented practice, status-tagged so you know the confidence level. Curated through an AI-assisted, human-reviewed process. Open source, MIT licensed. Current release: September 2026.
Who's Behind This
Julia Kołodko — PhD, behavioral scientist. Contributes the research foundation — sourcing, reviewing, and validating the evidence base that grounds this Knowledge Base in science.
Julia's websiteThis project is open to contributions and built to grow beyond one perspective.
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