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.
Enterprise AI · Agents · Knowledge Assistants · Grounded AI · Twindexers
Twindexers builds synthetic enterprise twins as realistic substrates for simulation and grounded enterprise AI. Metrolane V1 is now public and continues to evolve.
Digital Twin · Synthetic Enterprise · Enterprise AI · Simulation · Data Grounding
An extension of CTXDEX that models the economics of complete AI solutions — from business event to workflow, pricing path, and scenario-level trade-offs.
AI Economics · Scenarios · Pricing · Solution Design · CTXDEX
A synthetic AI knowledge universe for exploring models, commercial offerings, pricing, solution economics, and structured product knowledge.
AI Models · Knowledge Systems · Pricing · Scenario Economics · Product Design
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.
Design Systems · Design Tokens · Theming · Accessibility · Component Libraries
A lightweight video room where four people bring their own recorded parts into the call and Jam Mode plays them as one piece.
Real-Time Media & Collaboration · Solo Build · Product Exploration · AI-Assisted Engineering
A solo-built workbench that turns published ontologies, classifications, taxonomies and vocabularies from many source formats into consistent, queryable PostgreSQL data.
Knowledge Systems · Ontologies & Vocabularies · Solo Build · Semantic Infrastructure · AI-Assisted Engineering
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.
Knowledge Graphs · Domain Learning · Graph Thinking · AI & Agents · AI-Assisted Engineering
Two command-line toolkits for the unglamorous first step of any AI project — finding what is there, then turning it into something usable.
Content Ingestion & Extraction · Solo Build · Developer Infrastructure · AI-Assisted Engineering
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.
Publishing & Content Systems · Solo Build · Platform Evolution · AI-Assisted Engineering
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.
Metadata-Driven Processing · Reusable Engineering Framework · High-Volume Data Processing · Systems Thinking
