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 & TechnologyWriting
Thoughts on design, development, AI infrastructure, and building products.
Deep Research Agents Need Evidence Graphs
Deep research agents need evidence graphs to track missing pieces, reduce duplicate searches, and produce source-traced answers reviewers can inspect.
AI & TechnologyMCP Tools Need Action-Level Authorization
MCP tools need action-level authorization: bearer-token validation must lead to per-tool, per-role, and per-action capability checks before agents act.
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 & 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 & 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 & 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 Skills Need Package Managers
Agent skills, MCP servers, prompts, hooks, and commands now behave like dependencies. Teams need manifests, lockfiles, policy gates, review, and rollback.
AI & TechnologyOpen Source Is Not a Security Boundary
GDS guidance on AI vulnerability discovery gets open-source security right: hide less by default, fix faster, and make exceptions explicit with evidence.
AI & TechnologyCodex Hooks Make the Harness Real
Codex hooks, Remote SSH, and mobile control make agent work operational. Evidence, approvals, git custody, release gates, and taste now decide quality.
AI & TechnologyAgent Search Is a Runtime Problem
A new arXiv study compares grep and vector retrieval across Chronos, Claude Code, Codex, and Gemini CLI. Agent search quality lives in the runtime layer.
AI & TechnologyThe Agent Interface Is the Harness
Agent interface design is the operating layer: permissions, memory, traces, evidence, recovery, and taste decide whether autonomous AI agents earn trust.
AI & TechnologyExternal Publications
Technical writing 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.