Explainers and deep dives that hold up to a technical reader.
What it is
Long-form articles that explain a technology, an architecture, or a problem space in enough depth that an engineer learns something and a decision-maker can act. Explainers, architecture deep dives, research-backed pieces, industry analysis, and educational content.
Who it's for
AI and developer-focused companies that need to establish authority on a topic, teams launching something that needs explaining, and founders who want their category understood on their terms.
What gets delivered
- Explainer and "what is" articles
- Architecture and system deep dives
- Research-backed and benchmark-driven pieces
- Industry and market analysis
- Educational series and evergreen reference content
How I approach it
Time spent understanding the subject before a word is written: reading the docs, running the thing, talking to the engineers. Then a structure that carries the reader from problem to understanding, not a wall of correct facts.
Relevant work
An architecture guide for running AI at the edge with no cloud connection required.
Read Thought Leadership What's Changing in Vector Databases in 2026A market analysis of the vector database landscape and where it is heading.
Read AI/ML State of Vector Database, Q2 2026A roundup of the biggest vector database developments and shifts of the quarter.
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