Watch & save
Visuals
13 frameworks and field notes from the series — each one published as a LinkedIn post and built to be screenshot, saved, and reused in a design review.
5 AI Failure Patterns That Look Fine in a Demo
Confident hallucination, stale RAG, prompt injection, silent fallback, runaway agent — every one of them passes a demo. A demo proves the happy path, not that the system is trustworthy.
The AI Failure Rings
Most AI apps don't fail at the model — they fail one ring out. Model, prompt, architecture, product, and trust: diagnose which boundary actually broke.
The model is not your AI agent
Eight layers and one control plane — the practical stack that turns an impressive agent demo into a system people can trust.
10 Cursor rules that stopped the AI breaking my code
Boundaries beat prompt tricks: plan first, protect secrets, commit before agent runs, verify APIs, and make “done” a real gate—not the model’s confidence.
AI in Action retrospective: four apps, one lesson
Four live apps, four runtime AI postures — what AI accelerated, what stayed human, and the architecture principles that connect the series.
AI in Action #4: I Used to Lie to My Habit App
Streak theater teaches fake completion. HabitCheck keeps Facts in code, puts Coach behind consent, and asks what happens after you miss a day.
AI in Action #3: Is your AI system ready for production?
RetireCheck, SleepCheck, and Readiness Advisor — why demos are easy, trusted AI is harder, and hard gates keep the model from talking past the score.
Six layers that make AI production-ready
Most AI diagrams put the LLM at the center. Production systems shouldn't — business value, trusted data, model strategy, security, evaluation, and CI/CD decide whether the system deserves trust.
Engineering interviews are stuck between two eras
A hand-drawn visual on why both LeetCode-era and "AI allowed" interviews miss the same thing — and the 45-minute exercise that tests engineering judgment instead.
AI coding → production cheat sheet
An animated hand-drawn cheat sheet covering the full AI-assisted delivery workflow — spec, generate, review, test, secure, gate, ship, watch, roll back — with real commands to copy.
Vibe coding gets you to a demo. CI/CD gets you to production.
An infographic on the 7-step path from idea to production — where AI accelerates, CI/CD validates, and engineers own architecture, risk, and outcomes.
What I learned from the first two AI in Action apps
A short LinkedIn video on AI-assisted development across RetireCheck and SleepCheck — where AI accelerates delivery, and where engineering judgment still shapes the product.
AI in Action: building RetireCheck
A short LinkedIn video introducing the AI in Action series through RetireCheck — practical app-building with AI-assisted engineering.