Modern Mind — Knowledge Base for the AI Age
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 60+ sources from cognitive science, HCI, organizational psychology, 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 130+ 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:
Write with depth
Using the knowledge pack, help me write a LinkedIn post about why our consulting deliverables feel hollow. Ground it in research.
Design a training
Using the knowledge pack, design a 2-hour workshop for senior consultants on cognitive risks of AI adoption
Draft a policy
Using the knowledge pack, draft an AI use policy that addresses Borrowed Certainty and Automation Bias for our team
Build a case
Using the knowledge pack, help me build an evidence-based argument for why our team needs AI use guidelines before scaling adoption
Explain a concept
Using the knowledge pack, help me explain cognitive debt to my team lead who thinks AI just makes everyone faster
What's Inside
130+ entries across concepts, frameworks, practices, and 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.
Who's Behind This
Paweł Jarmołkowicz — technology and innovation consultant with 20 years in the field, now researching what AI does to human thinking, judgment, and expertise. Creator and curator of the Knowledge Base. Not anti-AI. Not blindly pro-AI. Pro-human.
Julia Kołodko — PhD, behavioral scientist. Contributes the research foundation — sourcing, reviewing, and validating the evidence base that grounds this Knowledge Base in science.
This project is open to contributions and built to grow beyond one perspective.
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