What This Covers AI language models have no persistent memory by default. Every session starts blank. AI memory systems solve this by storing and retrieving context through external mechanisms ranging from simple context stuffing (limited, fragile) to full externalized memory architectures using MCP, APIs, and structured databases (unlimited, maintainable). The approach you choose determines what…
What This Covers Claude skill files are structured behavioral specifications that can be attached to Claude Projects. Unlike simple system prompts, skill files can define layered rules across multiple tiers, establish persistent identity and voice, enforce operational protocols, and shape how the model reasons rather than just what it outputs. The difference between a system…
What This Covers An AI persona is a persistent identity layer built on top of a language model through structured configuration, externalized memory, and behavioral rules. It differs from a chatbot (scripted responses), a custom GPT (system prompt with knowledge files), and a fine-tuned model (weights modified with training data). A genuine persona maintains consistent…
What This Covers Claude can be connected to Notion through Anthropic’s Model Context Protocol (MCP) to create unlimited persistent memory without fine-tuning. The model reads Notion pages mid-conversation and uses a tiered loading system — Tier 0 always loads, Tier 1 loads on relevance, Tier 2 and 3 load on demand. A rolling session handoff…