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AI automation insights
Practical guides for Australian businesses navigating AI automation. No jargon, no hype — just what works.
May 2026 • 6 min read • Technical
Claude Code Sandboxing: 4 Patterns AU Teams Should Wire In Early
Most Australian engineering teams adopt Claude Code fast and think about sandboxing later. For APRA-regulated or government teams, that order is a compliance liability.
May 2026 • 6 min read • Technical
Writing Tools for Claude Agents: 4 Principles for MCP Server Builders
Most MCP servers are built like API wrappers. Agents need something different. Four principles for Australian teams building tools Claude can actually use.
May 2026 • 6 min read • Technical
Context Engineering for Claude Agents: What Production Teams Miss
Context engineering is the gap between Claude agents that work in demos and ones that hold up in production. This post covers the three failure modes and three patterns to fix them.
May 2026 • 6 min read • Technical
Claude Code Auto-Mode for Australian Engineering Teams
Auto-mode in Claude Code is widely misunderstood by Australian engineering teams. Here is how to calibrate trust, set tier defaults, and get the throughput multiplier without creating compliance exposure.
May 2026 • 6 min read • Technical
Multi-Agent Claude Systems: 4 Lessons for AU Builders
Anthropic's research system shows what multi-agent Claude architectures actually require in production. Four lessons every Australian engineering team should apply before building.
May 2026 • 6 min read • Technical
Custom Claude Skills: A Practical Guide for Australian Teams
Most Australian teams using Claude re-explain their domain knowledge from scratch every session. Custom Skills fix this. Here is how to build your first one.
May 2026 • 6 min read • Technical
3 Patterns That Make Claude Applications Age Well
Most Claude applications were built against a model that no longer exists. Three patterns from Anthropic's build-with-Claude playbook help Australian teams keep their applications current as capabilities evolve.
May 2026 • 6 min read • Technical
Why Production Claude Agents Land on MCP
Three integration approaches exist for Claude agents. Here is why direct API calls and CLI tools stall before production, and why MCP is the layer that survives contact with the real world.
May 2026 • 6 min read • AI Strategy
5 Things Anthropic's Sydney Office Means for AU Businesses
Anthropic appointed its first ANZ General Manager and opened its Sydney office on 27 April 2026. Here is what that means on the ground for Australian businesses building with Claude.
May 2026 • 6 min read • Technical
9 Seconds to Wipe Production: Patterns for Claude Agent Safety
A 9-second API call wiped three months of production data. The agent knew the rules. Here are three patterns to add before you give a Claude agent write access to real systems.
May 2026 • 6 min read • Technical
7 Patterns to Steal from Claude Design's System Prompt
Anthropic's Claude Design system prompt reads like an engineering spec, not a list of instructions. Seven patterns worth borrowing for your own agent builds, from role hierarchy to verification architecture.
May 2026 • 6 min read • Technical
Claude Opus 4.7 Migration: 5 Gotchas Buried in the Release Notes
Anthropic shipped Opus 4.7 with genuine improvements in reasoning and instruction-following. Five migration issues we found running it in production that first week.
May 2026 • 6 min read • Technical
7 Rules to Avoid a Claude Code Ban
Claude Code bans are automated, the appeal path is a Google Form, and accounts go dark for months with no human review. These seven rules are how we protect Australian teams from that outcome.
May 2026 • 6 min read • Technical
The Three Bugs That Quietly Broke Claude Code for a Month
Anthropic's April postmortem on Claude Code names three separate regressions that compounded into weeks of degraded quality. Here's what broke, and what production teams should take from it.
May 2026 • 6 min read • Technical
Claude Code vs v0: How Mid-Market Dev Teams Should Choose
Two AI coding tools with overlapping marketing but very different use cases. Here is how to decide which one fits your team's actual constraints.
April 2026 • 9 min read • AI Strategy
From AI Pilot to Production: Why Most Australian Businesses Get Stuck (And How to Break Through)
95% of AI pilots never reach production. Learn why Australian businesses get stuck in the pilot phase and the proven framework for turning AI experiments into production profit.
April 2026 • 8 min read • AI Strategy
7 Business Processes Sydney Companies Should Automate in 2026
If you are running a mid-market business in Sydney and still relying on manual processes for operations that AI can handle, you are leaving money on the table. Here are the seven highest-ROI processes.
April 2026 • 6 min read • ROI & Business Case
The Real Cost of Manual Processes (And How to Calculate Your AI Automation ROI)
Most Australian businesses know their manual processes are expensive. Few know exactly how expensive. Here's how to calculate the true cost — and when automation makes financial sense.
April 2026 • 7 min read • AI Strategy
Why 95% of Australian Businesses Fail at AI (And How to Be the 5%)
Five reasons Australian businesses fail at AI adoption and what the successful 5% do differently. Pilot purgatory, talent gaps, data readiness, and more.
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