Most people design tasks for humans. The future belongs to those who design tasks for verification. Agent-ready ≠ simple tasks Agent-ready = tasks where success is unambiguous Stop asking “can an agent do this?” Start asking “can anyone - human or AI - prove it’s done right?”

Your problem usually isn’t a lack of ideas. It’s turning ideas into shipped work. Change the flow: – New idea? Don’t open a doc - create cards. – Break it into agent-sized subtasks: research, prototype, copy, launch checklist. – Let agents pick them up while you move on.

You don’t need “more focus,” you need fewer tabs in your brain Most “focus hacks” are coping mechanisms for bad orchestration. If your head is full of: – What’s in progress – What’s blocked – What you delegated – What you forgot …it doesn’t matter how many pomodoros

Your backlog is not a bookshelf, it’s a queue for agents. Backlogs often become museums of good intentions. If items sit there untouched for months, that’s a signal: – Either they don’t matter – Or they never became executable work Agents are ruthless with this: They don’t

Agents, like humans, do better with sharp missions. Blurry scopes turn into blurry outcomes. If your agent can’t say “what I’m doing” in one sentence, it’s mis-scoped A good test for agent orchestration: Ask: “What is this agent responsible for right now?” If the answer takes

Don’t automate tasks. Automate shipping. A trap: “Let’s automate this task.” Better: “Let’s automate getting this change safely into users’ hands.” Tasks are atomic. Progress is relational: - What’s blocking this change from shipping? - What can run in parallel without

Code ist billig geworden. Was jetzt zählt. alexvey.com/blog/code-is-c…

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Stop reading. Start doing. Mein bester Tipp beim Umgang mit neuer Tech wie KI: Die endlose Flut an Guides & How-tos führt meist zu Overload statt Ergebnissen. Die entscheidenden ersten Schritte: 1. Ziel/Idee definieren 2. KI deiner Wahl die Idee erzählen 3. Plan zur

You have to be crazy enough to think it’s possible.

Die produktivsten KI-Nutzer schreiben die wenigsten Prompts. Statt jedes Mal neu zu fragen, bauen sie Systeme: Projekte, Memory, Bausteine, Workflows, Plan‑Execute‑Validate-Loops. Genau darum geht’s in meinem neuen Artikel – weg vom “schnellen Prompt”, hin zum persönlichen