The Robots Are Taking Exams in My Search Console
First-party GSC data: 91% of 3.8M impressions fail a human-query filter. Exam questions, pasted errors, and agent sweeps are rewriting what Search Console means.
AI & TechnologyWriting
Thoughts on design, development, AI infrastructure, and building products.
The Assistants Are the Audience Now
First-party edge data: AI assistants request my pages ~66x more often than humans visit, and most of it is live user-directed fetching, not training crawls.
AI & TechnologyContext Compaction Is Becoming a Training Objective
Context compaction is moving from an inference-time patch operators babysit to a training-time objective models optimize. CompactionRL is the signal.
AI & TechnologyThe Agent Stack Has a 1998 Problem
A cluster of agent-tool CVEs in mid-2026 is not bad luck. It is the structural signature of an AI agent ecosystem shipping at 1998-era security maturity.
AI & TechnologyAgents Want to Compile
The agent stack is separating deciding from executing: models compile intent into replayable workflow scripts and DAGs, and deterministic runtimes run them.
AI & TechnologyThe Check Becomes the Spec
Coding agents building to the test: near-perfect oracle scores, dead library shipped. What your checks omit stops being the job.
AI & TechnologyAgents Supersede the Reviewer, Not the Review
A 2026 paper argues coding agents have ended human code review. I run the pipeline it prescribes: the reviewer role is dying, the review is relocating.
AI & TechnologyContext Compaction Is a Decision, Not a Threshold
Coding agents compact context when a counter trips, not at a safe stopping point. A 2026 paper shows model-decided compaction cuts cost 30-70%.
AI & TechnologyComputer-Use Agents Overshare by Default
A 2026 benchmark tested 15 frontier computer-use agents for data leakage across contexts. Eleven leaked on over half the scenarios. No attacker needed.
AI & TechnologyApple's First-Party Answer to Prompt Injection
WWDC 2026: Apple cites the lethal trifecta, ships deterministic guardrail APIs in Foundation Models and App Intents, and moves PCC onto Google Cloud.
AI & TechnologyWhat Apple's Performance Team Said in the WWDC26 Lab
Apple's Power & Performance team answered live developer questions at WWDC26. Field guidance on MetricKit, Power Profiler, thermals, and AI contention.
AI & TechnologyWhat Apple's Swift Team Said in the WWDC26 Lab
Apple's Swift Group Lab at WWDC26 ran without captions. We transcribed it locally. Candid engineer answers on concurrency, ~Sendable, and the roadmap.
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.
