Practical insights on using AI to build, run, and scale a business. Not theory — lessons from building a 14-agent AI system at Eyesafe and consulting with lean teams at Alive.
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At Eyesafe, we don't have departments — we have agents. Here's the architecture behind the AI system that runs daily briefs, IP enforcement, sales outreach, and knowledge management for a lean team.
Most companies adopt AI backwards — they pick tools first, then look for problems. The companies winning with AI start with operations, identify leverage points, then choose tools that fit.
Your company's most valuable knowledge is trapped in email threads, Slack messages, and shared drives. Here's the exact process we used to extract, structure, and make it AI-accessible.
Forget chatbots. A real AI agent researches, decides, and acts. I'll walk you through building your first autonomous agent — from choosing the right use case to production deployment.
You don't need to be an engineer. You need five prompting patterns that work for strategy, analysis, writing, and decision-making. Here are the ones I use every day.
The real threat isn't artificial intelligence — it's the competitor who figured out how to use it six months before you did. A framework for thinking about AI urgency without AI panic.
Every morning at 7am, an AI agent pulls my calendar, email highlights, sales pipeline updates, IP alerts, and news — then writes me a one-page brief. Here's how to build your own.
Enterprise AI projects take 18 months and $2M. A 10-person company can deploy meaningful AI in a weekend. Small teams have a structural advantage — here's how to exploit it.
Want to go deeper? Alive LLC offers hands-on AI strategy, agent development, and knowledge system design.
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