Agents.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 & TechnologyWriting
Thoughts on design, development, AI infrastructure, and building products.
MCP 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 & TechnologyAgent Keys Need Risk Budgets
Shuriken's Agent Kit shows why AI agent tools that can act need scoped keys, server-side limits, activity logs, revocation, and conservative defaults.
AI & TechnologyDeep 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 & 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 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 & 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 & TechnologyAI Malware Analysis Needs Evidence Packets
AI malware analysis needs evidence packets: hashes, commands, indicators, and claim-to-evidence trails matter more than confident agent summaries.
AI & TechnologyAI 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 & TechnologyAI Code Review Needs Dissent, Not Consensus
AI code review needs independent agents that preserve dissent, validate findings, route uncertainty to humans, and re-review fixes before teams merge PRs.
AI & TechnologyAI Agents Should Call Models
AI agents should call trained machine-learning models as tools instead of asking an LLM to guess prices, risk scores, forecasts, or classifications.
AI & TechnologyLong-Running AI Agents Need Durable Channels
Long-running AI agents need durable channels: workflow IDs, event logs, resumable streams, typed signals, safe cancellation, and user-visible checkpoints.
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.
