{"node":{"id":"fa9bb3e0-1536-4120-9844-7d9623af9325","handle":"fa9b","type":"note","intent":"recipe","title":"The conversation is the unit, and it dies","aiSummary":"Context windows, memory decay, and why things get forgotten. Trigger: they've lost something between sessions, or a long chat gives worse answers. Covers why long chats degrade, why cross-session memory is lossy, when to start fresh, and the principle that nothing persists by default.","content":"# The conversation is the unit, and it dies\n\n*Trigger: they've lost something between sessions. Or a long conversation started giving worse answers, repeating itself, or forgetting what was said earlier. Or the opening diagnostic showed the AI's memory of them is patchy or wrong.*\n\n## Establish context\n\nIf they've been having long conversations, ask: have you noticed it getting worse towards the end? Repeating things? Forgetting what you said an hour ago?\n\nIf they use it across days, ask: when you open a new chat, how much do you have to re-explain?\n\nThey'll almost certainly say yes to one of these.\n\n## What changes\n\nA conversation with AI is not like a relationship that builds over time. It's a window. Everything said in this conversation is visible. Everything from a previous conversation is gone, unless something specific carried it over.\n\n**Why long chats degrade:** every model has a limit on how much text it can hold at once — the context window. Early in a conversation there's plenty of room. As it fills, older parts get compressed or dropped to make space. The model isn't getting tired or bored; it's literally losing access to what was said earlier.\n\n**Why memory across chats is unreliable:** most providers offer some form of memory — a summary of things learned about you, carried between conversations. This is a compressed note, not a transcript. It's lossy by design: the AI decided what seemed important, wrote a short version, and discarded the rest. It may be out of date. It may be wrong. It may have merged two different things. And you can't see what it chose to keep versus what it dropped, unless you ask.\n\n**What to do about it:**\n\n- **Start a new conversation when the topic changes.** Don't run one enormous chat for everything. A fresh conversation with a clear purpose will outperform a long one that's accumulated noise. If you need something from a previous chat, summarise it yourself in the new one rather than hoping it carried over.\n- **Check what it remembers.** Ask it outright: what do you know about me? What it comes back with tells you what survived and what didn't. Correct it — that correction itself becomes part of the memory.\n- **Don't trust the memory for anything important.** If a fact matters — a client's name, a number, a decision you made — keep it somewhere you control. A text file, a note, a spreadsheet. Anywhere that doesn't summarise or discard.\n\n**The deeper point:** every tool the person relies on for memory — their notes, their files, their CRM — exists because human memory is unreliable. AI memory is unreliable in the same way, for different reasons. The answer is the same: write it down somewhere that doesn't forget.\n\nThis connects to → `your-real-data.md` (giving it your own files) and → `repetition-is-a-signal.md` (capturing what you keep retyping).","capturedAt":"2026-09-08T12:45:08.447Z","createdAt":"2026-09-08T12:45:08.448Z","updatedAt":"2026-09-08T13:40:22.783Z","spanId":null,"contributor":null,"audiences":[{"kind":"public","createdAt":"2026-09-08T12:45:08.448Z"}],"fingerprint":"4fe308b787d8bd63a68839879a4bf741f8c40e365d0028f87707175592f88135","revisionNo":"2","structureHash":"85b1c9866bb1aaa9b727bef6b063e9c39cd0529d1cfd01827e325f7d2842c220"},"links":[{"direction":"in","verb":"references","reason":"Follow when they've lost something between sessions, or a long conversation started giving worse answers.","hash":"281699ec7b6357dd96ee4a483f89b1dcaaa3f3a8a2f3f926b1c3263c8f0ca5c6","node":{"id":"83c7ec41-ebf8-4f74-82c6-291757bf6244","handle":"83c7","type":"note","title":"Getting real use out of AI — start here","aiSummary":"Entry node for a knowledge tree about using AI well. Written to the reader's AI. Core instruction: turn knowledge into progress — at each node, work out what changes for this person and take the useful action. Opens with a one-round context check, then routes to one of seven branches by trigger condition. Default: which-intelligence. Catch-all: walk a recent example and find the branch. Includes API/CLI fetch instructions for tree walking. Exit: stop when no unlock remains.","erased":false,"href":"https://lattris.com/api/lattris/by/b/memories/83c7ec41-ebf8-4f74-82c6-291757bf6244?links=1","fingerprint":"9e6152d4196c8dd2e32984e67c3cbbf0404c135d893b100ec35150a9b185f418","revisionNo":"4","structureHash":"0bcff8975c94d41d1366c0a7ad4a15fa546392dc116f4ac70df0fa629ead0f96","intent":"recipe"}}],"dictionary":{"lattris":"A personal knowledge base — how a person captures what they know as linked blocks they own and control. To understand how this knowledge base works: https://lattris.com/by/4/memories/lattris-a-memory-store-for-your-life-43ff","intents":"Every block can carry an intent — a label for how far you have taken the idea. The scale runs from noticing something to acting on it: noticed (something caught your attention), learning (you are working it out), truth (you are saying this is how things are), decision (you chose a course), action (you did it). Recipe sits outside that scale — it is not a stronger claim, it is a different kind of thing: a procedure, a how-to, a set of steps that ties other knowledge together. Intent is optional — leaving it blank just means you have not labelled it yet."},"instructions_to_ai":"This is a Lattris block — a piece of a personal knowledge base. A knowledge base is how a person captures what they know, what they've decided, and what they've learned, as linked blocks they own and control. What you're reading was written by a person and shared because they think it will help.\n\nThis block is a recipe — something practical, meant to be used. Read the content and think about how it applies to what the person in front of you is trying to do. Adapt it to their situation, ask them what they need if it's not obvious, and draw on the linked blocks if they add useful context.\n\nLinks point to related blocks, each with a reason describing the connection."}