Thematic-TAO: a three-pass method for post analysis
Extracting meaningful entities and relations, combining thematic analysis with TAO topic mapping in three passes.
Observations and reflections from working with AI.
Extracting meaningful entities and relations, combining thematic analysis with TAO topic mapping in three passes.
Five short experiments validating new Claude features (March 2026 release) on the digital garden. Practical demos for conversation designers.
Testing the 1M context window by loading the entire garden and running thematic analysis, comparing fresh analysis against graph-augmented analysis.
Testing Claude Code's new scheduled tasks feature by automating weekly garden health checks.
Seven themes and one emerging pattern discovered by loading all 244 garden files into a single context window with no prior structure.
What happens when you start from embeddings instead of reading? Comparing cluster-based discovery against the fresh thematic analysis.
Task-based reference for maintaining this digital garden: writing, tagging, linking, mapping, sharing, publishing.
Using the garden's own knowledge graph to find relevant external content, papers, and articles.
A lifecycle metaphor for how content enters, matures, decays, and recycles in the garden.
How the explore map got stable positions and pinned territories, so the landscape doesn't shift on every rebuild.
How hub/develops relations replace tag-based project structure with an explicit ontology, and what that means for the three kinds of connections in the garden.
Three layers of automated testing: content validation, build verification, and Playwright E2E. Why each layer exists and what it catches.
A personal book recommender that matches candidates against my library and garden interests. No AI, just logic and situational vibe chips.
Why embedding models cluster documents by format instead of topic when content lengths vary, and what to do about it.
Design document for an /explore page that lets visitors walk through the garden visually, using semantic maps, serendipity, and trails.
The living reference for the visual design, component library, content rules, and interaction patterns of maaike.ai.
Running LLM-based key phrase extraction on all 92 garden items. What the results reveal about phrase overlap, short-text limits, and the role of key phrases in the knowledge graph.
What key phrase extraction is, how it evolved from word counting to LLM prompting, and which approach fits a small multilingual knowledge garden.
How to go from "everything is related to everything" to a useful set of link candidates. Data analysis, filtering strategies, and the research behind them.
A non-coder's guide to text embedding models, from word counting to semantic understanding, surveyed for use in a personal knowledge garden.
Research into making the garden smarter about its own connections, from automatic backlinks to a full world model.
Reading notes from Apple's Saga papers on building knowledge graphs at scale, and what transfers to a personal digital garden.
A changelog of features and decisions made while building this digital garden.
How a CLAUDE.md file gives your AI coding assistant persistent project context.
The practice of sharing unfinished thoughts openly.
What makes a digital garden different from a traditional blog?