Avoid the demo trap with scalable AI governance: evals, prompt regression testing, red-teaming, and delivery gates for enterprise teams.
In the Age of AI, Human Capability Is the Real Advantage
In the age of AI, human capability is the real advantage. Tools scale output. Judgment, empathy, and governance scale trust.
The Green Dashboard Lie: Why AI Programs Fail While the Metrics Look Perfect
Most AI programs fail before the dashboard turns red. TCE Trust Signals catch the human drift that delivery metrics miss.
From Figma to Firmware: The Invisible Tax on DesignOps
Why design leaders are moving away from Figma-first workflows and adopting a "System Contract" model to eliminate intent leakage and model churn.
Leadership in the Age of Infinite Fluency
In an age of infinite AI fluency, leaders need calibration. A one-page Decision Brief turns confidence into assumptions, evidence, and tests.
If you meet the Buddha on the road—kill him
Kill the Process Buddha. Don’t replace it with an AI one. Process is an alibi; AI is velocity. Choose judgment.
The Spiral Climbs: Ideas Are Expensive, Systems Are Cheap
Design isn’t dead; it evolved. 2025: systems are cheap, ideas expensive. My connected stack and 48-hour loop to ship fast and learn.
AI, Early-Career Jobs, and the Return to Thinking
AI is erasing entry-level jobs, but the future belongs to timeless human skills: logic, rhetoric, and judgment that machines can’t replace.
Practical AI Development: A Look at Lovable.dev
Practical lessons from building a complex POC with Lovable.dev, fast results, clear limits, and where AI dev tools fit today.
Cost-Speed Economics 2.0. How AI-Powered Freelancers Outrun Big Agencies
AI‑powered freelancers cut costs by up to 60% and deliver faster than agencies, giving leaders a smarter, leaner way to get projects done.
The AI-First Operator Is the New Product Manager
AI is replacing translators with operators. Product managers must evolve or step aside, the future belongs to those closest to the signal.
AI + UX: A Few Notes from the Field
How we used AI tools to cut UX delivery time by ~60%. Without extra budget or headcount. What worked, what didn’t, and what we’d do again.







