Dashboards, automation, and systems.
Practical notes on building internal tools, integrating data, and using AI safely in real workflows.
AI posts
33 posts
AI
11 min read
AI automation cost governance for small teams
Vladimir Siedykh
•2 months ago
AI
11 min read
AI automation intake framework: choose workflows by risk, volume, and value
Vladimir Siedykh
•2 months ago
AI
25 min read
AI search traffic measurement: how to track citations and leads
Vladimir Siedykh
•3 months ago
AI
24 min read
AI search visibility playbook: how to show up across major models
Vladimir Siedykh
•4 months ago
AI
24 min read
llm.txt guide: what it is and how to use it for AI search visibility
Vladimir Siedykh
•4 months ago
AI
23 min read
Google AI Overviews and AI Mode: how sources are selected, cited, and measured
Vladimir Siedykh
•4 months ago
AI
24 min read
ChatGPT search visibility: how discovery works and how to measure AI traffic
Vladimir Siedykh
•4 months ago
AI
35 min read
GitHub Copilot CLI: terminal AI agent that changes how developers work with repositories
Vladimir Siedykh
•6 months ago
AI
27 min read
Chrome DevTools MCP: AI browser debugging that bridges the gap between code generation and runtime reality
Vladimir Siedykh
•6 months ago
AI
20 min read
Codex MCP config: shared TOML setup for CLI and VSCode
Vladimir Siedykh
•7 months ago
AI
4 min read
Codex CLI approval modes and safety (2025)
Vladimir Siedykh
•7 months ago
AI
5 min read
Codex local vs cloud workflows: when to delegate tasks (2025)
Vladimir Siedykh
•7 months ago