AI Agent Ownership Is the Trust Primitive
AI agent ownership links every autonomous action to the account, session, scope, and operator who can stop it, review it, and accept responsibility.
AI & TechnologyWriting
Thoughts on design, development, AI infrastructure, and building products.
AI Agent Monitoring Needs Runtime Intervention
AI agent monitoring should catch decisive errors during a run, not after failure. Runtime intervention turns traces, policies, and alerts into safe pauses.
AI & TechnologyAgents.txt Is Not Access Control
Agents.txt is not access control. Use robots.txt, llms.txt, bot verification, logs, and server-side policy to manage AI crawlers without false confidence.
AI & TechnologyAI Coding Agents Need Smaller Review Surfaces
AI coding agents overwhelm reviewers with giant diffs. Smaller review surfaces keep engineers engaged, verification-focused, and accountable before merge.
AI & TechnologyResearch Papers Need Agent-Readable Claim Files
Agent-readable claim files let papers expose claims, scope limits, definitions, and figure commands so research agents cite, test, and reuse them safely.
AI & TechnologyAI Agents Need Exploration Checkpoints
Exploration checkpoints let AI agents prove what they discovered before acting, reducing premature exploitation, brittle plans, and generic world models.
AI & TechnologyAI Agent Skills Need Behavioral Audits, Not Pass Rates
AI agent skills can change behavior while pass rates stay flat. Behavioral audits compare traces, declared capabilities, and side effects before trust.
AI & TechnologyAI Agent Config Security Is Supply Chain Security
AI agent config security belongs in supply-chain review: hooks, editor tasks, install scripts, MCP files, and plugins can execute code before you notice.
AI & TechnologyAI Agent Safety Starts With Small Software
AI agent safety starts with small software: smaller tools, plain files, narrow permissions, and faster tests give coding agents fewer places to hide bugs.
AI & TechnologyRust's Draft LLM Policy Draws the Right Line
Rust's draft LLM usage policy allows AI for learning, review, and experiments while banning generated comments, docs, and human-review shortcuts in Rust.
AI & TechnologyAgent Code Search Has a Token Budget
Semble turns code search into a context-budget problem: hybrid retrieval, ranked snippets, and token savings beat grep-and-read loops for coding agents.
AI & TechnologyCodex Hooks Make the Harness Real
Codex hooks now span twelve lifecycle events behind hash-based trust review. The config shapes, blocking mechanics, and control system the agent harness needs.
AI & TechnologyExternal Publications
Technical writing published at Introl
Local LLM Hardware Pricing Guide 2025
Comprehensive hardware recommendations and cost analysis for running large language models locally.
H100 vs. H200 vs. B200: Choosing the Right NVIDIA GPUs for Your AI Workload
GPU selection guide comparing NVIDIA's latest datacenter accelerators for different AI workloads.
TPU Architecture: Complete Guide to Google's 7 Generations
Deep technical dive into Google's Tensor Processing Unit evolution from TPUv1 to TPUv5.
GPU Memory Pooling in Multi-Tenant Kubernetes
Resource sharing strategies for GPU clusters in containerized environments.
Ray Clusters: Distributed AI Computing Infrastructure
Guide to building and managing distributed AI computing with Ray framework.
DeepSeek V3 Open Source AI Cost Advantage
Analysis of open source LLM economics and DeepSeek's competitive positioning.
NVIDIA Vera Rubin GPU 600kW Racks 2027
Future datacenter power requirements and NVIDIA's next-generation GPU roadmap.
SMR Nuclear Power for AI Data Centers
Small modular reactor solutions for powering next-generation AI infrastructure.
DeepSeek MHC Architecture Breakthrough
Technical analysis of DeepSeek's Multi-Head Compression architecture innovations.
