AI, Technology, Transformation, and Inspiration

Writing about AI, technology and commercial growth: what worked, what failed, and what helped me move from pilot to production.

Nathan Petralia at HKU

Nathan Petralia

I have spent two decades leading digital and commercial programs across APAC. Today I build AI products and leverage AI across consulting, practice building, go-to-market, commercials, delivery governance, and operational leadership.

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Recent Posts

External Memory Series: A Practical Guide to AI Session Continuity
AI & Technology

External Memory Series: A Practical Guide to AI Session Continuity

Chat is not memory. This series explains a file-based external brain for builders and leaders—four layers, hooks, and why it beats hoping the model remembers.

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Beyond Chat History: Using Layered Obsidian Memory for Personal Productivity
AI & Technology

Beyond Chat History: Using Layered Obsidian Memory for Personal Productivity

The same three-layer memory stack used for shipping code works for strategic work, client engagements, and cross-tool AI—short chat, operational handoffs, evergreen notes, and explicit feedback.

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Three Layers of External Memory for AI-First Development (What Actually Ships)
AI & Technology

Three Layers of External Memory for AI-First Development (What Actually Ships)

Chat context is not memory. A three-layer file system—session, operational, evergreen—plus hooks and git automation is how I keep production codebases coherent across hundreds of agent sessions.

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Why Deliberate File Memory Beats Hoping Agents Remember
AI & Technology

Why Deliberate File Memory Beats Hoping Agents Remember

Chat memory is opaque and ephemeral. Deliberate files give audit trails, solo-shipping continuity, team handoffs, and survival when models or tools change.

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Why File Memory Beats the Three-Layer AI Diagram (For Builders, Not Vendors)
AI & Technology

Why File Memory Beats the Three-Layer AI Diagram (For Builders, Not Vendors)

The popular STM / LTM / feedback diagram optimizes in-model memory. A file-based external brain optimizes audit, handoff, and tool churn. Here is when each design wins—and why I chose files.

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Getting to Lighthouse 100 on Next.js 16: Every Fix That Actually Mattered
AI & Technology

Getting to Lighthouse 100 on Next.js 16: Every Fix That Actually Mattered

A complete walkthrough of every Lighthouse bottleneck on a Next.js 16 Vercel site — TBT from 3,020ms to 20ms, LCP from 3.0s to 1.7s — including the config options that don't exist in Next.js 16 and will silently break your build.

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GitHub Copilot vs OpenRouter: The Real Cost of AI Coding in 2026
AI & Technology

GitHub Copilot vs OpenRouter: The Real Cost of AI Coding in 2026

GitHub Copilot's new token-based pricing changes everything. Here's what it actually costs compared to OpenRouter and third-party relays when you code extensively.

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How I Built the Petralian Weekly Digest on Brevo Free
AI & Technology

How I Built the Petralian Weekly Digest on Brevo Free

I wanted a clean weekly digest for petralian.com without paying for RSS automations. This is the exact architecture we implemented, the issues we hit, and the code patterns that made it reliable.

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Publishing Obsidian Drafts Through GitHub Actions
AI & Technology

Publishing Obsidian Drafts Through GitHub Actions

A practical way to move from writing in Obsidian to publishing on a live site without copy-paste, manual uploads, or brittle one-off scripts.

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