Thinking on context engineering,
enterprise AI, and knowledge architecture
Practical insights on structuring organisational knowledge for AI, building context-first systems, and the future of enterprise AI adoption.
Choosing an AI Agency in Wellington: A 2026 Buyer's Guide
How to choose an AI agency in Wellington in 2026. What good looks like, what to walk away from, and what an honest engagement should ship in 90 days.
AI for Accounting Firms in New Zealand: The 2026 Operator's Guide
What AI for accounting firms in New Zealand actually looks like in production. Where it pays off, what to build versus buy, and how to vet a vendor in 2026.
Fractional Chief AI Officer in New Zealand: The 2026 Playbook for Mid-Market Owners
A 2026 playbook on hiring a fractional Chief AI Officer in New Zealand. What the role does, what it costs in ANZ, and how to vet one before you sign.
The Claude Code First Organisation: How to Build Your Company Around AI in 2026
Most organisations bolt AI onto broken workflows and wonder why it fails. The companies winning with AI in 2026 are doing something different. They are restructuring how their teams think, communicate, and operate so that AI models like Claude can actually reason across the business. This is what a Claude Code first organisation looks like in practice.
Why Enterprise AI Fails Without Structured Context
Most AI projects fail not because the models lack capability but because the organisation's knowledge is fragmented, undocumented, and impossible for AI to traverse. The context problem is the real bottleneck of enterprise AI adoption, and almost nobody is solving it.
Custom Voice AI Agent vs Off-the-Shelf: Which Is Right for Your Business
Platforms like Bland AI, Vapi, and Retell make it easy to spin up a basic voice agent in days. But when you need live data lookups, complex call flows, and domain-specific reasoning, off-the-shelf tools start to break down. Here is how to decide whether to build or buy your voice AI solution.
From Karpathy's LLM Wiki to the Company AIOS: Why Every Organisation Needs Its Own Knowledge Graph
Andrej Karpathy proposed an LLM wiki for personal context. The same idea applied at the organisational level is the missing piece behind every failing enterprise AI deployment. This is how a unified company knowledgebase plus a custom knowledge graph becomes the foundation of an AI Operating System, and why the future is custom company LLMs grounded in your real data.
Enterprise AI Consultancies for Retail in New Zealand (2026 Guide)
How to evaluate enterprise AI consultancies for retail in New Zealand in 2026. What to look for, what to avoid, and how the right AI partner can ship a working AI Operating System (AIOS) inside your retail business in 90 days.
AI Solutions in Christchurch: A 2026 Guide for Mid-Market Businesses
Practical guide to AI solutions in Christchurch in 2026. What mid-market teams are deploying, what to avoid, and how to ship a working AI Operating System (AIOS) inside your Christchurch business in 90 days.
Choosing an AI Agency in Auckland: A 2026 Buyer's Guide
How to choose an AI agency in Auckland in 2026. What good looks like, what to walk away from, and what a serious AI implementation should produce in the first 90 days inside your Auckland business.
Voice AI for Recruitment in New Zealand: What Works in 2026
How recruitment agencies in New Zealand are using voice AI in 2026 to qualify candidates, screen at scale, and free up consultants for the high-value work. What to build, what to avoid, and where voice AI fits inside an AI Operating System.
Best Voice AI Platforms in ANZ (2026 Comparison)
Honest comparison of the best voice AI platforms available to ANZ businesses in 2026. What each one is good for, what to avoid, and when to build custom on Retell or ElevenLabs versus using an off-the-shelf platform.