Stories, deep-dives and updates from the The Curator team.
Hierarchical Summarization: How to Condense Thousand-Page Corpora Without Losing the Narrative Spine
A step-by-step blueprint for building a recursive compression pipeline that preserves structural continuity, provenance, and critical nuances across vast document collections.
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Three Myths About On-Device AI That Obscure Its Real Advantage
On-device AI is often framed as cloud intelligence compressed into a phone or laptop. That framing misses the deeper opportunity: local models can sense, decide, and personalize where cloud systems cannot safely or reliably operate.
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Field Notes on Browser-Native AI: The Web Page Is Becoming a Local Intelligence Layer
AI is moving into the browser itself, changing what can remain private, work offline, and respond without a server round trip. These field notes examine the emerging architecture, its practical advantages, and the constraints that still matter.
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Context Engineering: How to Give an AI the Right Information at the Right Moment
Better AI performance often comes not from a more elaborate prompt, but from assembling a smaller, cleaner working context. This practical guide shows how to design that context as a deliberate system.
Read postStructured Outputs: A Beginner’s Guide to Making AI Responses Software-Ready
A practical orientation to schemas, validation, retries, and the boundary between generating valid data and making correct decisions.
Read postInside Activation Steering: How AI Behavior Can Be Redirected Without Retraining the Model
Activation steering changes a model’s internal computation while it is generating, rather than rewriting its weights or merely editing its prompt. Here is how steering vectors are found, applied, tested, and constrained.
Read postPrompt Chaining vs. Agent Loops vs. Workflow Graphs: How Should Your AI System Think Through a Task?
Three orchestration patterns can turn one model call into a capable AI system. The decisive difference is not intelligence, but who controls the next step: the developer, the model, or the runtime graph.
Read postHow to Build an AI Change Detector That Reads Only What Changed
A practical guide to replacing repetitive document review with a change-aware pipeline that detects meaningful revisions, restores context, classifies impact, and routes only consequential changes to people.
Read postThree Myths About Confidential Computing That Limit Private AI
Confidential computing is often described as encryption for data in use. That is accurate, but incomplete. Its real value—and its limits—emerge when we examine trust boundaries, attestation, model protection, and the software surrounding secure hardware.
Read postWhat The Curator blog is for
How it differs from the library
The library is the slow layer: ideas, methods and histories that should still read well next year. The blog is where the current argument lives — a launch worth interrogating, a strategy that keeps failing quietly, a piece of research that changes how a familiar problem looks. Posts argue; library entries explain.
Publication is paced rather than bulk-loaded, and every post is written specifically for this site, not shared across the sibling publications.
Editing and corrections
Posts are bylined and dated, and material post-publication changes are noted on the page rather than made quietly. Any reader can file a correction from an article page; the ones that check out are applied and credited.
External claims link to their source so readers can verify rather than trust. Our methodology page describes precisely where AI assists in drafting and where human editorial judgement is required before anything is published.
How the notebook differs from the archive
Two different jobs
The archive holds the durable essays. The notebook is for shorter, more provisional writing — what a new release changed about a convention, a myth worth puncturing, the reasoning behind a product decision.
Keeping them apart lets a field note stay tentative without diluting the archive, and lets an essay take months without missing the conversation entirely.
Cadence and authorship
Posts are paced rather than bulk-published, and each is written for this site specifically — nothing is syndicated from the sibling publications. Every post is bylined and dated, with an author page collecting that writer's work.
Comments, ratings and correction requests are open on every post and moderated for spam and abuse only. Disagreement about a reading is the entire point.
Corrections here too
A post that turns out to be wrong is corrected on the page, with the change noted where it alters meaning. Nothing is quietly removed to tidy the record.
External claims link out so you can check them, and a rotted link is a correction like any other — report it and it gets replaced.