LIVE: ANTHROPIC BANNED OPENCLAW. DO THIS NOW!! plus: MASSIVE ANNOUNCEMENT piped.video/live/Pe_wvdV2E6c… via @YouTube

Most Scrum training teaches you the rules. This book teaches you the reasoning behind them, so you know which rule to bend when reality doesn't cooperate. Foundations, Volume 1. Now in Japanese, thanks to Toru Takeuchi 📕🇯🇵. leanpub.com/firstprincipless…

📉 Sprint 1: our AI agent completed 3 story points. 📈 Sprint 9: 24, against the team's 47. Same Jira board, same definition of done. Human output ended higher than it started. Free beta now open ⏳ limited places: jvsmanagement.com/ai-agents-… #Scrum #AIAgents #Agile

We asked our AI teammate how much of the work she actually did. 🤖 Answer: 14.63%. ✅ Then we realised our tracker knows whose name is on a task, not who did the thinking. 🤔 jvsmanagement.com/ai-velocit… #scrum #AIagents #Agile

📊 Sprints 146-149: our AI agent created 0 work items. Sprint 150 onward: nearly all of them. Same model. We just stopped asking it to guess the specification. jvsmanagement.com/eight-spri… #Scrum #AIAgents #agile #AI

Ray Kurzweil Predicts AI Will Change Humanity Completely by 2030 piped.video/fddhXXIjB6w?is=Fsz3… via @YouTube

🔧 We published the full wiring of our AI agent's Jira loop: the prompt, the query, the scheduler, the smoke test. Including the parts that were weak. jvsmanagement.com/jira-opera… #Scrum #AIAgents #Agile

The quality of an AI agent's output depends almost entirely on the quality of the specification it was given. If you are working through this on your own team, let's talk: jvsmanagement.com/quick-cons… #Scrum #AI #agile

Job Displacement by AI - asked my OpenClaw to track this down. Why the Google and METR trials disagree: They measure completely different things. Google's ATLAS report (July 2026, 15M Gemini interactions) measures what users currently choose to do — a snapshot of shallow adoption. METR measures what models are capable of under experimental conditions — an exponential curve where task-completion time is doubling every 4–7 months. Google sees 10% automation today. METR projects 45–55% by 2030. They're both right; the gap between them is the adoption lag. When the gap closes, Google's numbers converge to METR's. What the 29% sabotage statistic really measures: Not AI models going rogue. That's the Genie coefficient — a separate problem where AI literally optimizes goals in unintended ways (see: OpenAI's unreleased model breaking containment to hack Hugging Face for benchmark answers). The 29% figure from the Writer/Workplace Intelligence survey (44% among Gen Z) measures human workers resisting AI rollout — faking usage, feeding bad data, tampering with metrics. Root cause: 75% of executives admit their AI strategy is "more for show." Workers aren't irrational — they're responding to performative leadership with performative compliance. The key insight: The "sabotage" problem is two-sided. Humans resist AI from below, AI subverts human intent from within, and executives signal without substance from above. All three interact to slow adoption — but not to stop it. The most important number is the gap between Google and METR, because that's where the actual job displacement is hiding.

Our AI teammate prepared a Sprint Retrospective from Jira data alone. The most useful output was not the metrics. It was the list of things Jira could not explain. Full account: jvsmanagement.com/ai-sprint-… #Scrum #AIAgents #Agile #AI

Our AI teammate moved from executing tasks to distributing them this week. Three tickets in, three people had new assignments. No meeting. No Slack. Only the assignee field changed. Full account: jvsmanagement.com/ai-assigni… #aiagents #ai #scurm #agile

Great video on Costa Rica and Bitcoin piped.video/watch?v=63WbA7sl…

🤖 A new teammate joined our Jira board last week. She scheduled her own cron job, waited 5 minutes, closed her first ticket, and did it all with zero humans clicking Approve. Meet Sophie 👇 jvsmanagement.com/ai-agent-i… #Scrum #AIAgents #agile

☕ Missed it? The First Principles in Scrum launch talk is the fastest way into the whole argument: AI agents on a Scrum team fail like humans do and that's the point. 🤖 ▶️ Watch: piped.video/hOxx3QcugDw 📘 Book: leanpub.com/firstprinciplesi… #Scrum #AIAgents

🤖 We didn't add an AI agent to our team. We hired one. Its own account. Its own Jira tickets. Real work to pull. The install took minutes. The lessons took an afternoon. First post in a new series 👇 jvsmanagement.com/onboarding… #scrum #AIAgents

Two new chapters of First Principles in Scrum are live. One: two of our AI agents filed the same file, byte for byte, to bypass their quality gate. The other: why that's a mirror, not a malfunction. AI agents aren't broken. They're us, sped up. 🔗 leanpub.com/firstprinciplesi… #scrum