Blog
Practitioner insights on enterprise AI, living knowledge bases, and building systems that work in production.
The knowledge that matters has never been computerised. Until now.
For fifty years, we've built systems to store structured data. But eighty percent of what organisations actually know lives outside those systems. LLMs make it possible to computerise that knowledge for the first time. But most approaches are getting it wrong.
Read articleWe built our holy grail in two weeks. Then we shelved it.
Towards the end of 2025 we built the analytics product we had spent 24 years aspiring to. We are not promoting it, and our current business plans do not mention it. Here is why, and what it tells us about the bet every software business is being forced to make.
Read articleYour legacy code is the asset. Stop trying to replace it.
Anthropic made reading legacy code cheap, and the market treated that as if rewriting it were cheap too. It is not. The defensible move on decades-old business logic is to keep the rules you trust and put an agent in front of them, not to gamble on a rewrite.
Read articlePartition your workloads before Washington does it for you
Frontier model access is now conditional, and the conditions are not yours to negotiate. The answer is not a smarter router. It is a design-time discipline you should already have.
Read articleMeasure what you'll promise, not what you typed
Our code output is up fiftyfold this year, and that number tells you almost nothing. The thing AI actually moved is not how fast you type, it is what you dare to promise a client.
Read articleBuild like your model can be switched off on Friday.
We are all renting our intelligence from a handful of third parties, and a Friday evening proved that rental can be cancelled overnight. Here is how the individual, the team and the developer each build so that losing a model costs them speed, not survival.
Read articleBuild software you can throw away. Fable 5 makes it possible.
Anthropic just shipped a Mythos-class model to the public. We gave it an open-ended prompt, walked away for 18 minutes, and shipped the result without a human reading the code. Here is what that changes for experienced engineers.
Read articleYour AI can't add up. So we stopped asking it to.
The same model that planned, built, and shipped a cross-service feature before lunch could not reliably total a column of numbers. That contradiction tells you exactly where the reliability of an AI system actually lives.
Read articleStop rebuilding the retriever. Your corpus is what rotted.
The industry just made retrieval optimisation its top investment priority. The failure data points somewhere else. A better retriever pointed at a rotting corpus retrieves rot faster.
Read articleThe line moved. The discipline did not.
Simon Willison admitted he has stopped reviewing every line of agent-written code, even on production work, and Anthropic shipped its answer the same day. Here is where the discipline actually lives now, and what is still missing.
Read articleGitHub changed the deal. Here is how we built ours to hold.
We bought annual Copilot for our legacy .NET work, and GitHub changed the deal. Here is the discipline we build into our agents so our customers never feel about us the way we now feel about GitHub.
Read articleStop scheduling knowledge capture. Let your agents decide what to capture.
Interloom just raised $16.5 million to capture tacit knowledge before experts leave. The right problem at the right time. But there is a second half nobody is shipping yet, the agent that tells you what knowledge it needs, the moment it needs it.
Read articleDecades of business logic. One protocol away from being an agent.
Every ERP, CRM, and custom business system is sitting on decades of valuable logic. A2A is the protocol that turns that logic into a discoverable agent. Here is what we are shipping, and what it means for every vendor running a business application.
Read articleYour coding agent just got bought. Build like you might have to leave.
SpaceX just bought Cursor. The consolidation at the top is complete. Portability costs less than you think, and coding agents make the discipline that delivers it essentially free. Here is how we build at inmydata, and why this is the right way to work regardless of who owns your tool next.
Read articleOpus 4.7 has a new parameter called task_budget. Pay attention to it.
Anthropic deprecated the parameters developers used to tune how the model thinks, and shipped a single new one for bounding how much thinking it can afford. The direction change is important. This is what it means for what you build next.
Read articleSecurity by Obscurity Is Dead
Anthropic refused to release Mythos publicly because of what it could do. The reasons should change how you think about every line of code you ship.
Read articleWhy constraining your agents makes them better
Token prices have fallen 280x. Enterprise AI bills have tripled. The difference is architecture. Here's what we learned building three agentic systems where every design decision was a cost decision.
Read articleHallucination is the feature
The same mechanism that makes AI dangerous in production is what makes it valuable everywhere else. The difference isn't the model. It's the constraints you put around it.
Read articleAgent identity is the easy part.
RSAC 2026 launched a wave of agent identity products. But the pattern that actually makes agents safe and useful already exists in coding agents. Here's how to apply it to enterprise systems.
Read articleStop tuning your prompts. Start engineering your context.
Every frontier model degrades as you fill the context window. The bottleneck was never capacity. It was curation. Here's what that means for enterprise AI, and what we're doing about it.
Read articleMCP won. Now build something with it.
The protocol war many predicted never happened. MCP is becoming invisible infrastructure, and the real story is what you can build when agents compose multiple types of intelligence through simple, modular servers.
Read articleThe Expert Knowledge Gap Nobody's Talking About
Every company is racing to adopt AI. Almost none of them are capturing the institutional knowledge that makes AI actually useful.
Read articleAI-First, and Last
Two real agent systems. Both built by AI, not just powered by it. Why the organisations that use AI to build will outpace those that only build AI.
Read articleThe Problem Isn't the Agent. It's the Approach.
The narrative that agentic coding tools produce poor quality, insecure, hard-to-maintain code is not wrong. It is just aimed at the wrong target. The issue is not the tools. It is how people are using them.
Read articleHow Business Software Survives the Agentic Era
ERP, CRM and enterprise software vendors are losing billions in market value as agentic AI eats their business logic and UI. Here is what the survivors are doing about it.
Read articleA Friday Afternoon Pen Test and a Trillion-Dollar Question
I built, deployed, and ran a penetration testing suite in an afternoon. That's a perfect case study of why software stocks are in freefall.
Read articleWhen AI Eats Software, Who Gets Eaten First?
February 2026 wiped a trillion dollars off software stocks. That wasn't a bubble bursting. It was disruption arriving faster than anyone expected.
Read articleThe AI Bubble That Isn't
Why the last six months have made an AI bust vanishingly unlikely, and what the bubble hawks got wrong.
Read articleWe Are Not Doomed to AI Slop
Slop got a dictionary definition. Here's why it won't need one for long.
Read articleOpenClaw and the Security Tax of Real Agency
What a viral lobster teaches us about pent-up demand for personal AI and the price of actually getting things done.
Read articleWhere to Start with AI, A Practical Guide for the Overwhelmed
Every organisation knows they need to do something with AI. Here's how to find your starting point.
Read articleWhy Your Software's UI Is About to Become Irrelevant
Software has spent 40 years accumulating complexity. AI agents are about to collapse it.
Read articleWriting Code Is Becoming the Least Important Part of Software Engineering
Why Agentic Engineers will become the new standard, Vibe Coders will hit a wall, and Traditional Engineers face a reckoning. A look at what 2025 taught us and what 2026 demands.
Read articleThe Case for Slower AI
LLMs perform far better when given time to think, plan, and critique their own work. We're only beginning to understand how to work effectively with these tools.
Read articleWorried About an AI Bubble? You're Asking the Wrong Question.
There is growing nervousness about an AI bubble. But focusing on valuations misses what matters: whether you're positioned to benefit from what AI can already do.
Read articleThe Next Evolution of Intelligence
Seeing 'humans' in machines - exploring how AI is evolving beyond simple automation toward a new form of intelligence.
Read articleBuilding the Foundation for Agentic AI: Why Data Integration Unlocks the Future
Agentic AI is more than the next step in automation - it's the leap from insight to autonomous action. But none of it works without the right data foundation.
Read articleHow Coding Agents Change the Way We Build Software
There's a lot of excitement around the new wave of coding agents, and for good reason. The first generation that works has arrived.
Read articleCoding with Agents: My Experiences with Vibe Coding
Coding assistants are evolving at remarkable speed. Here's what it's actually like to work with the latest AI coding agents across multiple projects.
Read articleMaking Agentic AI Work in Your Organisation
The promise of agentic AI is no longer theoretical. Here's how to bridge the gap between pilot projects and production-ready systems.
Read articleThings are About to Get Weird: The March of AI
If you thought things were moving fast last year, buckle up. The pace of AI innovation is now warping the rest of the software market.
Read articleTen Minutes on a Sofa: The Real News Story
While the news obsessed over politics, I implemented a cutting-edge AI improvement across multiple production systems in ten minutes from my sofa.
Read articleAgentic AI in Action: How Smarter Systems Solve Bigger Problems
Understanding multi-agent AI systems and the four key patterns for designing cooperation between AI agents.
Read articleMake Smarter Retail Decisions with inmydata Copilot: Conversational Analytics That Thinks Like You Do
Discover how inmydata Copilot transforms retail analytics with AI-powered conversational intelligence, enabling faster, smarter business decisions.
Read articleWhy AI Projects Fail (And It's Not the AI)
Most AI projects stall not because of model limitations, but because of data access problems. Here's what we've learned from four years of shipping AI systems.
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