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Section
Updated
Browser Automation MCP 2026 — Comparing Playwright, chrome-devtools and agent-browser
Applied Sciences
2026-07-29
A tidy-up of the Claude Agents specifications
Applied Sciences
2026-07-29
"how does <filepath> work?" — Claude Code's placeholder prompt
Applied Sciences
2026-07-29
Claude Code's CLAUDE.md hierarchy — which instructions reach how far
Applied Sciences
2026-07-29
Does Claude Code's Spawn (parallel subagent launch) really run in parallel?
Applied Sciences
2026-07-29
Claude Mythos and Oceanus — the cutting edge and its "version for everyone"
Applied Sciences
2026-07-29
Claude Code orchestration glossary, 2026-05
Applied Sciences
2026-07-29
Marketing work: compress the analysis, don't fight on research
Applied Sciences
2026-07-29
Deep Research — auto-generated reports as a new citation touchpoint
Applied Sciences
2026-07-29
Evolutionary Model Merge — 進化的探索でモデル合成レシピを自動発見する
Applied Sciences
2026-07-29
Field glossary — AI-strategy & GEO terms that came up
Applied Sciences
2026-07-29
What is an LLM (large language model)? — understanding how it works in one go
Applied Sciences
2026-07-29
MECE prompting — structuring AI output with four letters
Applied Sciences
2026-07-29
Multi-hop real-task benchmarks — FRAMES / BrowseComp
Applied Sciences
2026-07-29
Launching Claude Code from an orchestration layer
Applied Sciences
2026-07-29
Task-type queries — from "questions" to "requests"
Applied Sciences
2026-07-29
Vector data and vector databases — the foundation of embeddings and semantic search
Applied Sciences
2026-07-29
AI Search Evaluation: The 12 Metrics — Gateway
Applied Sciences
2026-07-29
AI Search Evaluation ①Citation Rate — How Many URLs Are Pulled In Per Answer
Applied Sciences
2026-07-29
AI Search Evaluation ②Source Diversity — How Unskewed the Cited Sources Are
Applied Sciences
2026-07-29
AI Search Evaluation ③Accuracy Score — How Often It Answers Factual Questions Correctly
Applied Sciences
2026-07-29
AI Search Evaluation ④Answer Length — How Many Characters It Returns to the User on Average
Applied Sciences
2026-07-29
AI Search Evaluation ⑤Japanese Domain Ratio — How Often It Pulls In .jp-Family Domains
Applied Sciences
2026-07-29
AI Search Evaluation ⑥TLD Distribution — The Composition by Domain Type
Applied Sciences
2026-07-29
AI Search Evaluation ⑦ Citation Overlap — How Much Do the Engines Reference the Same Domains
Applied Sciences
2026-07-29
AI Search Evaluation ⑧ Latency — Average Response Time in Seconds
Applied Sciences
2026-07-29
AI Search Evaluation ⑨ Brand Mention Rate — The Probability Your Company Name Appears in an AI Answer
Applied Sciences
2026-07-29
AI Search Evaluation ⑩ Citation Consistency — Does It Cite the Same Domains This Week as Last Week
Applied Sciences
2026-07-29
AI Search Evaluation ⑪ Freshness — How Recent the Cited Content Is
Applied Sciences
2026-07-29
AI Search Evaluation ⑫ DA Correlation — The Relationship Between Domain Authority and Citation Frequency
Applied Sciences
2026-07-29
Variants — A Design That Changes Only the Region to Measure One Element
Applied Sciences
2026-07-29
What AI commoditizes: the "is the answer unique?" lens
Applied Sciences
2026-07-29
From 'Selection' to 'Absorption' of Citations — citation absorption
Applied Sciences
2026-07-29
GEO / AIO — Generative Engine Optimisation and the 'being mentioned' KPI
Applied Sciences
2026-07-29
MCPEO — SEO for AI agents (optimising tool selection)
Applied Sciences
2026-07-29
Building til's taxonomy — a directory → JSON pipeline
Docs
2026-07-29
Concurrency vs parallelism — structure vs simultaneous execution
Formal Sciences
2026-07-29
Identifiers, file extensions, and what a .mjs file really is
Formal Sciences
2026-07-29
Line endings LF / CR / CRLF — the types, their differences, and what Git's warning means
Formal Sciences
2026-07-29
Tech trees and DAGs — from a game's crafting chart to the true nature of dependencies
Formal Sciences
2026-07-29
148 notes
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