AI
AI Maturity: A Practical Framework
A practical six-level AI maturity framework for companies adopting AI. Assess strategic clarity, data readiness, and engineering capability to find …
Fixing Agent Amnesia With Federated Memory
A-MEM's Zettelkasten-inspired approach to agent memory, and why software projects need federated memory with cross-domain linking — not one big vector …
The Adaptive AI Coding Pipeline
Fixed pipelines over-process simple requests and under-process complex ones. An adaptive router classifies intent and dispatches to specialised …
What Is AI-Native?
AI-native is more than a buzzword. It marks a real architectural shift where AI becomes the foundation, not a feature bolted on.
The AI Knows Your Client's Phone Number (And So Does Everyone Else)
RAG pipelines leak PII through prompt injection. A substitution layer swaps real data for realistic fakes before it reaches the LLM, neutralising the …
A CRM That Knows What It Doesn't Know
Probabilistic lead scoring with Pyro replaces brittle point systems with honest uncertainty, email fatigue modelling, and self-improving predictions.
Can AI Create Its Own Programming Language?
What would a programming language designed for AI look like? The thought experiment reveals deep unsolved problems and points to probabilistic …
Ambiguity as a Vital Sign
Traditional observability counts individual leaves. In a living system, ambiguity is the vital sign — it reveals where the system is still becoming.
Beyond the Horseless Carriage: What AI-Native Software Actually Looks Like
We build AI systems that mimic human workflows. AI-native software should look like a living organism, not a faster factory pipeline.
Adopting System Models Incrementally
Practical guide to adopting graph-based system models incrementally. Covers escape hatches, LLM workflows, and week-by-week adoption strategy.
The Self-Validating Graph
Graph-based system models validate themselves through structural checks, semantic analysis, and automatic test generation from invariants.
Code Is a Lossy Format
Source code is a lossy format that discards intent. LLMs expose this weakness. Graph-based models preserve meaning as first-class structure.
The Quantum Turing Test
When the wavefunction collapses because an AI observed it, consciousness has crossed the silicon threshold.
When AI Surprised Its Creators: The GPT-2 Story
How GPT-2's simple language prediction training led to unexpected capabilities like translation and reasoning that surprised its creators.
The Evolution from Code Craftsmanship to Living Systems: A Conversation About the Future of Software Architecture
Exploring the paradigm shift from imperative coding to declarative systems, hybrid architectures, and self-healing codebases that evolve autonomously.
Optimising Claude Code: The 100-Line CLAUDE.md That Actually Works
Transform your bloated CLAUDE.md into a concise guide that Claude Code actually follows. Learn the secrets from top developers who get 10x better …
Building Hybrid Declarative Systems: A Practical Architecture Guide
Learn how to architect hybrid declarative systems that combine symbolic reasoning with machine learning for trustworthy, explainable AI decisions.
What Happens When You Combine Proof Trees with Machine Learning
Explore how combining proof trees with machine learning creates hybrid declarative systems that can both reason logically and handle uncertainty.
How Proof Trees Make Declarative Programming Work
Discover how proof trees and proof engines enable declarative programming by automatically exploring logical possibilities instead of following …
Enterprise AI Architecture: Building Self-Healing, Autonomous Systems with Distributed Intelligence
Building enterprise-grade AI with autonomous nodes, distributed intelligence, and self-healing mechanisms for resilient systems that adapt without …
How AI Enables Just-in-Time Applications: The Future of Adaptive Software
AI enables applications that adapt, generate, and optimise themselves in real-time based on user needs and context — just-in-time software that writes …
From Code Writers to Solution Architects: How AI is Reshaping Software Development
AI is transforming software development from imperative coding to declarative problem-solving. Developers aren't being replaced — they're becoming …
There Is a God Now: An Old AI Anecdote That Aged Like Fine Wine
An old computer science anecdote about AI and divinity from the mid-2000s that seems remarkably prescient in today's interconnected AI-driven world.
Learning with AI: Why ChatGPT Beats Google for Deep Understanding
Conversational AI like ChatGPT transforms learning with personalised explanations and instant clarification that beats traditional search methods.