Which AI Is the Wrong Question
People keep asking me which AI is best. The question assumes an oracle — one machine you can settle on and stop thinking about. That's the exact habit that gets you burned.
Read more →Resources
In-depth guides, frameworks, and analysis covering the AI landscape — from security fundamentals to emerging applications.
$965 Billion and a Date
Anthropic just closed $65B at a $965B post-money valuation. That's not a refutation of the bubble thesis. It's a date stamp on the next test of it.
Read more →I Hired Out My System 2
Kahneman split thinking in two. The standard worry about AI is that we'll stop using System 1. That's not what's happening. Not to me.
Read more →The Agentic Pipeline: How One Operator Builds Like a Team
A backgrounder on the agentic pipeline behind the FoxxeLabs stack — the loop that turned one new project every four months into 2.67 a week, explained for developers and founders alike.
Read more →The FoxxeLabs Cognitive Stack: Building a Computational Neuroscience of Personal Memory
We built a full cognitive architecture modelled on the human brain — from biometric homeostasis to embodied swarm intelligence — using Irish-language names, open-source tools, and a theory that memory is topology, not storage.
Read more →Warp Speed
Fifty years of software development, an AI coding partner, and the question of what the human is actually for.
Read more →Léargas v2: Memory Map, Book Growth, and the Combined View
Since the first Léargas experiment, the corpus grew from 33,440 to 56,006 documents, new data sources joined the manifold, and we built three interconnected visualisations — including one that shows a writing career and a cognitive history on the same animated canvas.
Read more →I Built Claude Code Before Claude Code Existed
An independent path to the same architecture — persistent memory, direct repository access, and a strict division of labour. The parallel is uncomfortably exact.
Read more →Two Claudes Walk Into a Problem
I built a tool that runs two independent Claude sessions side by side, lets them argue, and lets you fire one's answer at the other. It's the most useful AI tool I've made.
Read more →Human-AI Collaborative Development: A Working Methodology
How persistent memory, direct git integration, and a strict architect/coder split produce software that neither human nor AI could build as well alone.
Read more →Lorg Phase 0: Building a Personal Worldline in Seven Hours
From empty repo to GPS-tracked life trail in one session. How we built a personal worldline data collection system with FastAPI, React Native, and a glowing map of Ireland.
Read more →The Accidental Revolution: How Claude Code Rewrote the Rules
It started with a command-line hack to change the music. Eighteen months later, Claude Code is generating half a billion dollars a year and redefining what software development looks like.
Read more →The Search for Intelligence — and the Artist Who Builds the Search
On growing minds rather than programming them, on software that fits like a handmade shoe, and on what a glowworm moving through space-time has to do with the question of what intelligence is for.
Read more →Experiment Léargas: Memory That Breathes
We gave the temporal manifold a body — blobs that grow and fade with sound, Ebbinghaus decay, and a decade of an author's publishing life flowing in from 474 Google Sheets. Here's what emerged.
Read more →Experiment Léargas: A Holographic Map of Memory
What if your memory system wasn't a database? We replaced records with a probability distribution over semantic space — a Gaussian Mixture Model that deforms when you think, consolidates while you sleep, and makes connections you didn't program. Here's what we built and what we found.
Read more →Research Log #0024 — Léargas: Memory That Breathes
A self-contained log page for the Léargas memory map — topic blobs rising and falling across three years of conversation history, now with a full Web Audio sound engine. Sound on.
Read more →Barriers to Entry: How AI Lets Us Do More of Everything
AI isn't just automating work — it's compressing the distance between intention and execution, activating latent ambitions, and shifting the real barrier upstream to judgment and taste.
Read more →Experiment Aislinge: Dream Consolidation for AI Memory
We built a consolidation layer that runs on top of Mnemos and Radharc to synthesise cross-domain memory bridges — the equivalent of what sleep does to human episodic memory. Here's what we found.
Read more →From Copy-Paste to Co-Pilot: Learning to Work With Claude
Most developers use AI as a sophisticated clipboard. Here's what changes when you build the infrastructure to make it an actual collaborator.
Read more →Experiment Radharc: First Look at Episodic Memory Geometry
What does an AI model's internal representation of your personal memory actually look like? We ran 484 documents through two frozen models and mapped the geometry. Here's what we found.
Read more →Experiment Radharc v0.2: Three Models, 2,000 Documents
We scaled the geometry mapping experiment to 2,000 documents and three models. The results changed in ways we didn't expect — and pointed directly at what Aislinge needs to do first.
Read more →AI Model Types: A Practical Taxonomy
Understanding the landscape of AI models — from transformers to diffusion models — with practical applications, tradeoffs, and what's changing in 2025.
Read more →Prompt Injection: Attack Patterns and Defenses
A comprehensive guide to prompt injection vulnerabilities in LLM applications, from basic attacks to advanced defense strategies.
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