November 7, 2026 • 6 min read
NotebookLM with Claude over MCP gives you managed document research. Claude Code with Jupyter gives you a programmable workspace. How they differ, where each fits, and when to combine them.
November 1, 2026 • 7 min read
Prompt, context and harness engineering shape one run. Loop engineering covers how an agent acts, checks its work, reacts to events and improves over time.
October 29, 2026 • 5 min read
An AI coding agent is capable but has no security filter. Isolate the workspace, keep real keys out of reach, guard the pipeline, and scan every change.
October 27, 2026 • 6 min read
Secret managers get keys off disk. Credential brokers keep them away from the agent. How Agent Vault, Aembit, AgentCore, HashiCorp Vault, Doppler and 1Password compare.
October 13, 2026 • 9 min read
A pilot-style preflight checklist for AI agents: capability leases, deny-by-default tools, evals first, attested MCPs and skills, in-flight guardrails and rubrics, cost routing, vendor-multi, reproducibility, and the rest of what must be true before takeoff.
October 12, 2026 • 11 min read
Where AI authority ends: a reference architecture for retrieval-backed, human-approved workflows, with three boundaries, a state contract, and a tested approval gate that rejects a recipient swap.
October 12, 2026 • 8 min read
How SKILL.md files let agentic applications, coding harnesses, and assistants like OpenClaw load specialized knowledge only when the task needs it.
October 3, 2026 • 30 min read
Can a decision model acting as a reflex manage traffic and battery for 10 drones on a shared map? A 30-minute experiment with and without a deterministic safety backstop: 12 collisions without it, none with it.
October 3, 2026 • 8 min read
How generative AI routing differs from load balancing: KV caching, model affinity, switching budgets, and when to use an inference router, an AI gateway, or both.
October 2, 2026 • 30 min read
A map of the AI-native cloud (managed agent runtimes, serverless inference, routing, caching, knowledge bases, evaluations, GPUs) followed by a product-by-product tour of what a full AI cloud offers, with illustrative pricing.