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A/B Testing Two Models Without Fooling Yourself

Comparing two models on live traffic sounds simple and usually is not. Sample sizes, paired designs, and the metrics that actually settle the question.

Models9 min read
Models

Active vs Total Parameters: The Number Spec Sheets Hide

A 2.8T model and a 27B model can be two-to-one apart on the figure that governs thinking. How to read parameter counts across the 2026 field.

· 9 min read
AI Agents

Agent Audit Logging: What to Record and What to Redact

When an agent does something surprising, the log is the only account of what happened. What a usable agent audit record contains, and what it must not.

· 9 min read
AI Agents

Agent Caching Strategies: Prompt, Tool and Result Layers

Agents resend the whole transcript every turn and re-read the same files repeatedly. Three caching layers fix that, and each has different keying rules.

· 9 min read
AI Agents

Agent Checkpointing: Saving Work a Long Session Can Lose

Long agent runs die halfway. What to checkpoint, where the boundaries belong, and why external side effects break the snapshot model entirely.

· 8 min read
AI Agents

Agent Concurrency Control: Pools, Locks and Fair Slots

Unbounded agent spawning turns a fast run into a retry storm. Worker pools, semaphores, resource locks and the fairness problem nobody plans for.

· 9 min read
Cost & Pricing

Agent Cost Attribution: Tracing Spend Back to a Cause

A provider bill tells you the total and nothing else. How to attribute agent spend to a team, a task and a tool call so you can act on it.

· 9 min read
AI Agents

Agent Failure Modes: A Taxonomy Worth Memorising

Agents fail in about eight recognisable ways, and each one needs a different fix. A field guide to spotting them from a trace and knowing what to change.

· 9 min read
AI Agents

Agent Fan-Out Limits: How Wide Is Too Wide

Fan-out looks free until the orchestrator stops reading results properly. The four ceilings that cap parallel agents, and how to find yours before production does.

· 9 min read
AI Agents

Agent File System Access: Designing the Blast Radius

The filesystem is an agent's most consequential tool surface. Path containment, read and write asymmetry, and why files are an injection vector.

· 8 min read
AI Agents

Agent Handoff Patterns: Passing Work Without Losing It

Every handoff between agents is a compression step. Four patterns for transferring control, what each one drops, and how to build a handoff packet.

· 9 min read
AI Agents

Agent Loop Anatomy: The Twenty Lines That Run Everything

Every coding agent is the same short loop. Understanding its structure tells you where they fail and which parts are worth engineering.

· 8 min read
AI Agents

Agent Network Access Control: Egress Is the Real Risk

An agent with a shell and open network egress can exfiltrate anything it can read. How to scope outbound access without breaking the toolchain.

· 9 min read

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