Practical guides, deep dives, and opinions on AI memory, context engineering, multi-LLM workflows, and privacy-first productivity.
ChatGPT's built-in "Memory" looks like a fix, but only solves part of the problem. Here's a breakdown of every failure mode of LLM memory in 2026 — opaque caps, single-platform lock-in, no structure — and how to build a memory layer that actually works.
A side-by-side review of the major AI memory tools available in 2026 — built-in ChatGPT memory, MemGPT, Letta, Mem0, and Rethread — comparing scope, privacy model, multi-platform support, and ergonomics.
Context is the new prompt. Treating an AI like a fresh hire each conversation wastes tokens, time, and quality. This guide covers four context-engineering patterns — Persistent Profile, Project Brief, Decision Log, and Just-In-Time Recall — with concrete examples for ChatGPT, Claude, and Gemini.