Insights · 38 essays
Insights.
Thoughts on technical intelligence, applied AI, verifiable trust infrastructure, and building growth infrastructure that compounds.
Strategy
Why Institutions Wait for a Mandate
The Stop Rogue AI Act would require safeguards that already exist. Why institutions wait for a mandate, who shapes the standard, and what the delay costs.
AI Assurance
Super Intelligence and AI: Two Terms, One Definition
Executive Order 14434 directs federal agencies to say Super Intelligence (SI) for AI. The legal definition is unchanged. What the two terms mean in practice.
AI Assurance
Governance Decay in Long-Running AI Agents
Context compaction keeps long-running AI agents inside their context window. Research shows it also removes the rules they were given.
AI Assurance
Cryptographic Accountability for Autonomous AI
Third-party AI audits are arriving through legislation and industry agreements. These audits require systems to maintain signed, immutable action records.
AI Infrastructure
Responsible AI Starts With the Infrastructure You Choose
Most responsible AI decisions are made before a model writes a word. A plain look at energy use, output impact, and choosing AI infrastructure on purpose.
AI Infrastructure
Why Static Prompts Fail AI Agents
A static prompt is just a snapshot of rules written when the AI was set up. Real context is a live data system that verifies what information the AI used, who allowed the action, and how much it cost before it executes.
AI Infrastructure
The Pattern Library: What 100,000 Repositories Are Made Of
Gerolamo distilled 4,029 reusable patterns from 100,586 repositories, papers, and models. Each is a takes-X-produces-Y mechanism with provenance across independent codebases.
AI Infrastructure
The Agent Trust Plane and the Volume Problem
The agent trust plane and earned autonomy: how adaptive trust and cryptographic attestation replace static policy files that never learn from their own enforcement history.
Strategy
Verifiable Restraint: Trust Is the Last Advantage
America's real export was never the dollar — it was credible restraint. The only version of it a rival can't copy is restraint enforced by architecture, and it's buildable now.
AI Infrastructure
Operationalizing Evidence-Sealed Authorization with Zephyr
The Evidence-Sealed Authorization sealing layer is now in production. Zephyr provides the cryptographic primitive that makes automated ATOs possible.
Engineering
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.
AI Infrastructure
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.
Strategy
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.
AI Infrastructure
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.
Strategy
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.
Strategy
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.
AI Infrastructure
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.
Strategy
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.
AI Infrastructure
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.
AI Infrastructure
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.
AI Infrastructure
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.
AI Infrastructure
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.
Case Study
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.
AI Infrastructure
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.
Frameworks
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.
AI Infrastructure
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.
Frameworks
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.
AI Infrastructure
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.
AI Engineering
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
AI Assurance Is Not a Policy Problem
Why governing AI requires evidence, not promises, and how assurance emerges from execution rather than intent.
AI & Knowledge Work
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.
Strategy & Sales
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.
AI Strategy
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.
Software Security
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.
AI & Experience Design
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.
AI & Workforce
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.
AI & Design
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.
Strategy & Leadership
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.