Insights and playbooks on AI — integration, development, and automation with AI
Every message you send to an LLM costs tokens — including the filler. Why the real power move is wasting the fewest tokens.
Why the first wave of AI-built software is mostly invisible — internal tools, prototypes, and attempts that never show up as public artifacts.
Design for latency, timeouts, hallucinations, and drift so AI apps stay reliable in production.
Practical comparison: when Claude Code with Opus outperforms Cursor, and when it doesn't.
A builder-first guide to OpenAI, OpenRouter, Anthropic, Azure OpenAI, self-hosted, and hybrid setups.
Why reliability, retries, and monitoring drive spend more than model pricing.
How AI amplifies PMs and developers without replacing core product and architecture responsibilities.
A Telegram bot that turns voice notes and text into structured code edits, pushes to GitHub, and deploys to production.
Head-to-head comparison of three AI coding models building the same app from one prompt.