Career · AI · Growth

Practical notes on AI,
career, and getting things done

I write about turning AI into a reliable teammate, building a durable career, and the workflows that survived contact with real work.

30 in-depth essays
AI · Work core topics
No fluff field-tested only

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Technical Deep Dive

Self-Evolving Agents: How AI Systems That Improve Themselves Actually Work

Beyond prompt tweaks and manual fine-tuning lies a more interesting frontier: agents that accumulate skills, rewrite their own instructions, and get better with use. A practical tour of how self-evolving agent architectures work, what has shipped in the wild, and where the real risks are.

AI Models

GPT-6 Hands-On: What Actually Changed and What It Means for Daily Workflows

After several weeks of using GPT-6 for real work — code review, long-document analysis, and multi-step agent tasks — here is my honest assessment: where it genuinely pulls ahead, where the marketing oversells, and how to decide whether it is worth switching your workflow for.

Multica: After Using It for a While, I Think I Get What They Are Doing With AI

Multica is not another AI chat box — it is closer to a platform where Agents actually pick up tasks, hand them off, and report back. A few notes from my own usage.

What I focus on

Career strategy and AI tools aren't alternatives. I care about how they combine into a growth system you can actually repeat.

AI assistants & automation Career path design Communication Cross-team collaboration Personal knowledge bases Goals & retrospectives

Writing principles

Every post includes real cases, actionable checklists, and templates you can use the same day you read them.