Blog
We document how we build Kiori, how teams stay in sync, and how public workspaces become living knowledge networks.
Explore the science behind why we lose our train of thought — from working memory limits to the doorway effect — and discover strategies to maintain cognitive continuity in the age of AI.
How NotebookLM, Notion AI, Heptabase, and Kiori differ across the knowledge loop—and why workbenches matter for 2026.
Why keyword search on PDFs and docs fails teams, why ChatGPT alone is risky, and how queryable knowledge changes the story.
Why hallucinations emerge whenever rules, policies, or docs meet language models, and how traceable knowledge systems keep trust intact.
Why answers fade, why AI doesn’t preserve context, and how a knowledge thread keeps learnings alive.
Get hands-on
Every article ties back to a live workspace. Jump in, poke around, then create your own knowledge thread.
