"AI is going to take your job" is one of those phrases that spreads because its simple, scary, and partly true. But its also misleading. Jobs are not single tasks. They are bundles of activities: plan...
<strong>As of March 2026:</strong> this guide reflects the practical hardware options and trade-offs available right now for running AI inference locally on your own machines. The ecosystem moves quic...
If you’ve ever watched a polished product demo and thought, “Great — how hard can it be to build?”, you’re not alone. A short demo can make software look finished. But most demos are showing <em>the i...
Tools like OpenClaw sit in a fast-growing category: AI agents and automation agents. The promise is simple: connect your inbox, calendar, documents and internal tools, then let an assistant handle rec...
By March 2026, the dust has settled on last year's AI agent hype cycle. What landed in production and what stayed in the demo video?...
A story about refactoring a Node.js + skia-canvas image generation container to run in parallel — and what broke in production: timeouts, pegged CPU, and corrupted output.
A practical 30 day plan to prove an IoT idea quickly. AI agents speed up early drafts and documentation while engineers validate so you get a real demo, clear costs, and a sensible next step.
A practical checklist for securing an OpenClaw deployment: least privilege, secrets handling, safe automations, logging, and what to monitor weekly.
Generative AI was the beginning. Agentic AI is the shift. Here's what Australian SMEs need to understand about autonomous systems, implementation realities, and strategic preparation.
