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Community learning artifacts for agentic workflows
Explore reading recommendations and contributor writing shared by people building in the open.
Reading Recommendations
Author: Chet Haase
Rec by: Dakota Fabro, B. Psy, M.Ed, M.Th

Author: Nadia Eghbal
Rec by: Dakota Fabro, B. Psy, M.Ed, M.Th
Author: Dr. Susan Rogers & Ogi Ogas
Rec by: Dakota Fabro, B. Psy, M.Ed, M.Th
Author: Morgan Housel
Rec by: Dakota Fabro, B. Psy, M.Ed, M.Th
Literature
Literature shared here centers emerging interdisciplinary AI scholarship. Preferred formats include academic-style articles, PDFs, and contributor-authored blog writing.
This space is not peer-reviewed today and can evolve toward stronger review practices over time.
Open forum for interdisciplinary AI discourse
Interdisciplinary AI discourse means engineers, researchers, product thinkers, educators, and policy-minded contributors can exchange ideas in the same room, with shared accountability for safety and practical impact.
Community Sharing Guidelines
Review the shared norms for publishing recommendations, writing, and learning artifacts in ways that preserve human agency, traceability, and respectful cross-discipline collaboration.
Read GuidelinesCourses, conferences, and sponsorship
Featured learning opportunities and sponsorship placements can be highlighted here as the ecosystem expands.
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