Exploring AI Agents and Human–AI Collaboration.
Twindexers EKA: What Happens When an AI Assistant Has to Understand an Enterprise?
A grounded Enterprise Knowledge Assistant built on the living Metrolane synthetic enterprise, designed to reason across systems, documents, evidence, access rules, and incomplete enterprise truth.
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Twindexers: Building a Synthetic Enterprise Before Asking AI to Understand It
Twindexers builds synthetic enterprise twins as realistic substrates for simulation and grounded enterprise AI. Metrolane V1 is now public and continues to evolve.
CTXDEX Scenarios: From Model Pricing to AI Solution Economics
An extension of CTXDEX that models the economics of complete AI solutions — from business event to workflow, pricing path, and scenario-level trade-offs.
CTXDEX: Building a Synthetic AI Universe to Understand the Real One
A synthetic AI knowledge universe for exploring models, commercial offerings, pricing, solution economics, and structured product knowledge.
genui-ds: A Design System Shaped by the Products That Use It
A token-driven design system used across multiple products, with themes, reusable components, and a feedback loop where real consuming products continuously improve the system.
Swara Lounge: A Lightweight Video Room for Remote Music Jams
A lightweight video room where four people bring their own recorded parts into the call and Jam Mode plays them as one piece.
Zyndeck: Making Ontologies and Published Vocabularies Easier to Use
A solo-built workbench that turns published ontologies, classifications, taxonomies and vocabularies from many source formats into consistent, queryable PostgreSQL data.
Bloomspec: Breaking Things Down, Connecting Them Back — Why Not a Graph?
An in-progress experiment in using a semantic graph to learn complex domains by connecting business operations, technical needs, constraints, automation, agents and products rather than forcing everything into one hierarchy.
fetch-links + fetch-info: Building My Own LLM Content Pipeline
Two command-line toolkits for the unglamorous first step of any AI project — finding what is there, then turning it into something usable.
Agent Makers: From a Personal Site to a Structured Publishing Experiment
A personal publishing site that gradually became an experiment in structured, programmable content — from Markdown presentation rules to separate YAML pipelines for project and humor articles.
What Do You Say to a Hyper Viber?
Three sets of vitals are going off at once — the human, the agent, and the bill nobody is watching.
DView: When Putting a Database in a Browser Felt New
A trip down memory lane to an early web-based database browser — built from everyday DBA problems, a curiosity about the emerging web, and an unexpected first lesson in product thinking.
RecordFlow: When File Formats Became a Reusable Framework
A memory-lane look at how a recurring file-processing pattern became a metadata-driven framework that could be reused, operated, recovered and eventually owned by others.
Teardowns and Assemblies: Navigating Mobile Devices & IoT Engineering
How iFixit teardowns bridged the gap between app development and hardware engineering, transforming confusion into clarity in the IoT device space.
LUI and MUI: The One Interface to Unify Enterprise Apps and Tasks
Exploring the convergence of Language User Interfaces (LUI) and Micro User Interfaces (MUI) to unify enterprise workflows.
Science-Tech and Human-Centric: My Hopes for an AI-Shaped Future
A balanced and optimistic perspective on how AI may reshape our world—expanding Science-Tech frontiers while deepening Human-centric pursuits.
Teacher and Student: Learning from AI’s Distillation for Human Intelligence
As AI systems distill intelligence through teacher-student models, we uncover new strategies for efficiency, adaptability, and human cognitive evolution.
Insight and Transfer: Transdisciplinary Intelligence for Cross-Domain Innovation
Introducing Transdisciplinary Intelligence — a framework for applying distilled concepts, patterns, and perspectives across domains to enable deeper problem-solving and scalable innovation.
Essence and Insights: Unveiling Distilled Intelligence for Optimized Cognition!
Exploring Distilled Intelligence as a refined evolution of crystallized knowledge—integrating core comprehension, integrative insight, and pragmatic mastery for sharper thinking and adaptive problem-solving.
Crystals and Fluid: The Yin and Yang of our Intellect and Application
Exploring Crystallized and Fluid Intelligence, their interplay in problem-solving, and how integrated intelligence shapes lifelong learning and adaptability.
Emotion and Logic: A Human Framework for the Art of Finding Your Voice
Turning the elSpectra story into a neat 3x3 matrix to help you find a name that truly sings.
Emotion and Logic: The Story of How We Found Our Name and Our Identity
From a pub conversation to Aristotle’s rhetoric: the human journey behind the name elSpectra.
Tappers and Listeners: The Rhythm of Misunderstanding!
How Stanford's classic experiment reveals the "curse of knowledge" — the gap between what we know and what we can communicate.
Emotion and Logic, Fast and Slow: Decoding 4 Decision-Making Styles
The Eisenberg brothers' framework of four buyer modalities — Competitive, Spontaneous, Methodical, and Humanistic — and what it reveals about how we all approach decisions.