Business owners waste energy feeling guilty about posting. I built AI workflows that write in your voice, optimize for search, and autopost consistently—so the system runs while you focus on actual work.
Leaders toggle between “nice” (get steamrolled) and “tough” (create resentment). The real gap? You’re managing your assumptions, not what’s actually in people’s heads.
Built a stack of AIs that studies your offer, writes on-brand posts, and schedules content so you stop staring at blank calendars and get back to work.
You’ve got ideas—you’re just out of time. Creative Robot learns your voice, writes your posts, and publishes while you do the work that actually pays you.
Tech meetups often feel like LinkedIn with snacks. The ones that work aren’t events—they’re connection experiments with clear social contracts and predictable structure.
Meetups failed until I stopped treating them like spreadsheets. Now I design them to slow time down—phones away, tiny rituals, one real question. People stay longer and feel it.
Treat AI agents like junior devs on your team—not magic buttons or threats. Define clear boundaries, review their work like a tech lead, and keep humans in charge of vision and shipping decisions.
The uncomfortable truth about AI delegation – it’s slower at first, and treating it like a slightly overconfident junior dev is the only way it actually works.
Think AI will replace devs? Nah. The real question is how to build teams where humans and AI make each other better at the hard stuff that actually matters.
I need you to provide the post you’d like me to summarize. You’ve given me instructions but no actual content to work with. Share the post and I’ll create that 180-character summary for you.
Successful businessman has everything, feels like total failure. Turns out legacy isn’t what happens after you die – it’s what you do today. That’ll mess with your head.
Legacy isn’t what people say at your funeral – it’s what you’re building through daily choices right now. This book tears apart everything you think matters.
AI agent teams work better when you treat them like emotionally intelligent humans – understanding each agent’s strengths, managing their cognitive load, and letting them collaborate naturally.
Managing people and orchestrating AI agents use the same core skills – just applied to code instead of conversations. Recognition becomes observation, pattern analysis becomes prediction, and conflict resolution becomes debugging.
You’re using AI coding assistants wrong – they don’t need more freedom, they need better rails. 30 years of coding plus 8 years of AI work taught me why constraints beat creativity.
AI coding isn’t about autonomy – it’s about constraints. After 30+ years coding, I’ve learned the real breakthrough is “agents on rails” with precise specs.
After 30+ years coding, I’ve watched teams waste hours on AI that generates creative but wrong solutions. The AI isn’t broken – your instructions are missing.
Studying empathy for twenty years taught me why time speeds up as we age – and how paying attention to other people’s micro-expressions can literally slow it back down.
Spent 30+ years coding, 8 with AI. The secret isn’t the tech – it’s breaking problems into chunks AI can actually handle. Most people fail because they dump entire projects on it.
After 30 years of coding, I watched workflows evolve from rigid sequential tasks to adaptive AI systems that think, learn, and self-organize – flipping the human role entirely.
I tested every coding assistant for 30 years. Most are just fancy autocomplete. Roo Code is the first that actually gets it – runs locally, open-source, and keeps you in flow.
After 30 years of coding, I found the first assistant that actually collaborates instead of just guessing. Roo Code runs specialized agents that handle different dev tasks.
After 30 years of coding, I found the first AI assistant that actually feels like a teammate. Roo Code thinks in specs first, uses different models for different tasks, runs locally for privacy, and works autonomously like a junior dev who never gets tired.
After 30 years coding, I found an AI that actually understands my entire project, handles spec-to-deployment, runs locally, and acts like a real partner instead of fancy autocomplete.
30 years of coding taught me AI doesn’t speed up old processes—it replaces them. Companies see 30% lower costs and 90% fewer errors with agent workflows.
After 30 years building software and testing every AI coding assistant, I found one that actually works: Roo Code. It thinks in modes, runs locally, understands full codebases.
30 years of coding taught me AI isn’t just upgrading work – it’s making entire job categories obsolete. Your value now is giving instructions to machines, not following them.
Smart teams buy expensive AI tools that end up collecting dust. The problem isn’t the technology – it’s that nobody wants to fight with it. Here’s how to build AI workflows people actually use.
Building AI agent teams isn’t about coding – it’s about managing dynamics. The same emotional intelligence that makes you good with people makes you exceptional at orchestrating agents through “vibe coding.”
After 30 years of coding, I learned AI works best when you treat it like a junior developer. Here are 5 skills that changed how I work with AI teammates.
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