The 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 & TechnologyWriting
Thoughts on design, development, AI infrastructure, and building products.
Agentic Design Is Control Surface Design
Agentic design is not a prettier chat box. It is the control surface that makes autonomous software visible, interruptible, auditable, and worthy.
AI & TechnologyAgents Need Supervision Surfaces
Agent supervision surfaces turn autonomous AI work into inspectable operations: approvals, traces, evidence, recovery, and review queues beat better chat.
AI & TechnologyAI Agent Review Packets Are the New Final Answer
AI agent review packets bundle claims, traces, approvals, tests, deployment proof, human review state, and unresolved gaps so agent work earns real trust.
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 & TechnologyHTML Is the Format AI Agents Want
Thariq Shihipar's HTML examples show why agent output format matters: spatial structure, interaction, and visual evidence beat flattened Markdown.
AI & TechnologyAgent Execution Traces Are the Runtime Contract
Shepherd, AI Workflow Store, and WildClawBench point to the same agent reliability layer: typed traces, reusable workflows, and native-runtime evaluation.
AI & TechnologyManaged Agents vs Local Agent Harnesses: What to Keep
Managed agents now handle sessions, sandboxes, tracing, and events. Keep local harness rules for taste, evidence, privacy, and publishing safely today.
AI & TechnologyCode with Claude SF 2026: What Anthropic Actually Shipped
Recap of Code with Claude SF 2026: doubled Claude Code rate limits, the SpaceX Colossus 1 deal, 10 finance agent templates, and Vercept's acquisition.
AI & TechnologyFoundation Models Use Cases: General vs Content Tagging
iOS 26 Foundation Models has .general and .contentTagging use cases. Use Apple's rules to decide when prompting beats specialization.
AI & TechnologyFoundation Models Custom Adapters: When To Train One
iOS 26 Foundation Models custom adapters train LoRA weights, export .fmadapter packages, ship via Background Assets, and require Apple's entitlement.
AI & TechnologyMetal 4 Essentials: What The New Core API Actually Changes
Metal 4 ships parallel MTL4-prefixed types alongside Metal in iOS 26. Multi-threaded command encoding, unified compute, and ML as a first-class GPU pass.
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.