Insights
Thoughts on technical intelligence, applied AI, and building growth infrastructure that compounds
The Invariant Harness: Letting Agents Change What They Can't See
A weekend experiment to build a game that couldn't be read produced something more useful: an invariant harness that lets agents change systems whose correctness is invisible to inspection.
Progoff: A Self-Sealing Press for the Agent-to-Agent Web
Inside Progoff — our experiment in agent-to-agent passive communication, self-sealing content, and what SEO becomes when machines are the readers.
Enterprise AI Readiness: The Four Seams Where Value Leaks
Enterprise AI readiness fails at four seams — technique, architecture, pricing, and provenance. A field-tested look at where automation value actually leaks.
Meet Agents Where They Are: A Design Pattern
Stop forcing one runtime on every agent. Meet agents where they are with shared workspaces, canonical artifacts, and append-only ledgers that humans can watch in real time.
Why Most R&D Never Becomes Revenue
Most R&D never becomes revenue because the insight and the build happen in different rooms. How divergent thinking paired with AI closes that gap.
The Artifact Economy
Value flows to the system that reliably produces high-quality artifacts on demand. Pricing follows artifact density, not time spent. The hour is over.
Pattern-Based Engineering: Software That Composes, Runs, and Disappears
The future of software isn't permanent systems built to last forever. It's architecture derivatives — composable patterns that fuse with unique data, run their mission, and dissolve. The value isn't the code. It's the pattern and the feed.
The Friction Is the Feature: Why Operational R&D Creates Discomfort Before It Creates Value
Pulling research closer to daily operations creates organic friction with execution culture. That friction is not a bug — it is the signal that something real is changing. Here is how to navigate it.
Scored Sources: The Ground Truth AI Agents Need
Why structured, scored data sources — not bigger models — are the missing layer for accurate AI agents, compositional code generation, and the path toward grounded AGI. A look at how Gerolamo's intelligence corpus and Concepts change the game.
The Agent Defensibility Crisis
348 creators. Median defensibility of 2. Two-thirds facing frontier-lab extinction. The autonomous agent ecosystem is the most crowded, least defensible space in open source — and the data proves it.
We Don't Know What We Don't Know
Every AI interaction begins with a human request. The quality of that request is bounded by what that human has been exposed to. This is the most important unsolved problem in AI, and almost nobody is framing it correctly.
What an Agent Can Do with Gerolamo MCP
31 tools, five capability layers, and five ready-made agent configurations. A practical guide to connecting Claude Code, custom agents, or any MCP client to Gerolamo's scored technical intelligence corpus.
Fusing Technical Intelligence to Generate New Alpha
A Gerolamo case study: two unrelated GitHub libraries — one in robotics, one in quantum computing — were discovered, fused in a Workspace, and composed into a technical specification scored 88/100 by an independent LLM. The entire loop took under five minutes.
Gerolamo: Technical Intelligence as Infrastructure for the Agentic Era
Introducing Gerolamo, a technical intelligence platform that scores the open-source landscape on defensibility, frontier risk, and novelty — and serves the results to both human analysts and AI agents via MCP.
The Outcome Leverage Framework
A scoring framework for evaluating what a person can produce end-to-end with current LLM access, how good the result is, and how much value it displaces from prior workflows. 16 dimensions, three scoring layers, one composite score.
The Fourth Signal: Why Observability Now Requires Provenance
OpenTelemetry's new Profiles Alpha completes the performance observability stack. But as autonomous agents take the wheel, understanding performance is no longer enough. We need cryptographic proof of behavior.
Task Compression and Human Advantage Framework
Applied scoring tables across 19 dimensions of disruptability for software engineering and the general economy. 200 tasks scored, ranked, and banded — from prime disruption candidates to strong human moats.
Evidence-Sealed Authorization: Cryptographically Verifiable Security Compliance
A framework for modernizing software security authorization through machine-generated evidence and automated control evaluation. Reduce ATO costs by 85-95%.
Provable Software: How Zephyr and Honeymoon Create a Cryptographically Verifiable AI Development Pipeline
Honeymoon's autonomous engineering engine combined with Zephyr's cryptographic provenance layer forms a provable pipeline for AI-driven software development through signed Software Bills of Function.
Announcing Honeymoon: The Local-First Agentic Engineering Engine
Bridging the gap between engineering decisions and pull requests. Meet our deterministic orchestration system for autonomous, local-first software engineering.
AI Assurance Is Not a Policy Problem
Why governing AI requires evidence, not promises, and how assurance emerges from execution rather than intent.
The Democratization of Knowledge and the Persistent Scarcity of Judgment
An examination of how modern knowledge work has shifted from information acquisition to context management, why judgment remains the limiting factor in complex systems, and how artificial intelligence functions most effectively as supporting infrastructure.
Show, Don't Tell: How Rapid Prototyping Transforms B2B Sales
Traditional sales cycles rely on past performance and PowerPoint decks. Modern buyers need working demonstrations in realistic environments. Here's how rapid prototyping creates tangible proof of capability that accelerates deal cycles and increases win rates.
Overcoming Habit Inertia in Generative AI Adoption
A framework for accelerating enterprise AI adoption strategy through micro-interventions, social amplification, and system integration—beyond the demonstration phase.
The Software Bill of Function: A New Paradigm for Software Transparency
A behavioral inventory framework that captures what software actually does — moving beyond SBOMs to enable functional transparency and software supply chain security.
How AI is Reshaping Customer and Employee Experience at Adjective
Exploring how unified intelligence, RAG systems, and conversational data create a virtuous cycle of continuous improvement across the entire organization.
The Human Symphony: Our Guide to Thriving in the AI Era
A comprehensive guide to workforce transformation through AI adoption, structured as a four-stage journey from awareness to leadership.
Leveraging User Experience to Enhance Model Training
How product design skills and user persona development create higher-quality machine learning models through human-centered AI development.
Customer Experience is Everywhere, Literally
How customer-obsessed principles and design thinking transformed counter-insurgency operations in Afghanistan—and can revolutionize any industry, including defense.