What is MCP and why does it matter for AI agents?
Model Context Protocol is the standard that lets AI agents read and write any compliant tool. Here's what it is, why it won, and how to bet on it.
Frameworks, playbooks, and field reports on building AI-powered businesses. Following the future of work. Updated weekly.
The difference between using a chatbot and running an AI workforce. A practitioner's guide to the architecture that's becoming table stakes for SMBs — written from the operator seat.
Read the pillar →Twelve deep pillars covering the methodology and the work — plus four broader topics that go beyond the framework.
How multi-agent systems share context, route work, and act on your tools.
Get your brand cited inside ChatGPT, Claude, Perplexity, and AI Overviews.
The eight-pillar methodology behind every AI ARMY engagement.
Measure whether your business is actually ready to deploy AI.
How to train a team on AI tools so the learning actually sticks.
When off-the-shelf isn't enough — and what custom actually costs.
How to choose an AI automation partner without getting burned.
Big-4 vs boutique vs operator-led — which one fits your stage.
The anatomy of workflows where AI does the thinking and automation does the rest.
What actually needs to change in your stack to make AI work.
A practitioner's guide to shipping software with AI inside.
Compare costs across every major model. Free, no signup, updated quarterly.
Real numbers from real engagements. Bayer, SKU IQ, HubSpot rebuilds. The proof behind the methodology.
AI for Real Estate, Healthcare, B2B SaaS, Nonprofit, Education — the framework applied vertical by vertical.
Claude vs GPT vs Gemini. Agent Hub vs Zapier. Model selection, vendor evaluation, build-vs-buy decisions.
Operator POV from Megan. What's working, what's not, contrarian reads on AI hype — written from the seat.
Fresh thinking. Updated weekly.
Model Context Protocol is the standard that lets AI agents read and write any compliant tool. Here's what it is, why it won, and how to bet on it.
The terminology is messy. Here's the clean version, with the practical differences that actually change what you do this quarter.
Most teams overestimate their readiness. Ten questions that surface the workflow, data, and governance gaps before you spend a dollar on AI.
One operator's read on AI each week. No filler, no hype, no "Top 10 AI Tools" lists. Just what worked, what didn't, and what to do this week.
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