Why AI chats lose context, and how to keep it
Short answer
A chat only knows what is in that chat. A new chat, another app or a teammate's AI starts without it. Keep the parts that matter (decisions, files, what is open) outside the chat in a shared place, and have each new chat read them first.
Where context gets lost
- A long chat gets cut off or summarised.
- You start a fresh chat to get a cleaner answer.
- You switch apps for a different strength.
- A teammate takes over with their own AI.
What to keep outside the chat
- The goal and the next step.
- Decisions, and what was tried and failed.
- The files, at the exact version the work used.
How Winskel keeps it
A Winskel Space keeps these as handoffs and versioned Markdown files. Every conversation also shows Conversation details: Next step, Goal, Latest outcome and Open. A new chat in any connected app reads them first.
Separate what happened from what the next chat needs
A conversation can include discarded ideas, experiments, unrelated questions and private details. A fresh session rarely needs all of that. Keep a brief account of the goal, the decisions that still apply, the files that support those decisions, and the first open question. If a failed attempt rules out an attractive approach, note the reason in one sentence.
Imagine you asked Claude to compare three ways of handling failed imports. After a long thread, the accepted decision was to show the rows that failed and continue with the others. Ask Claude to save that decision and a next step before you switch to ChatGPT to draft help text. In the new app, start by asking for the saved behavior and its exact source.
If a new session gives a different answer, compare the source it read with the saved decision. It may have found an older version or used the current prompt alone. Ask it to use Winskel to open the specific version and answer again before deciding that the project guidance changed.
Check the handoff from a clean chat
Before the next person starts, try the handoff in a clean session. Ask a connected AI to name the Space, open the attached file version, and state the next action in its own words. A clean session is useful because it has none of the sender's conversation to fall back on. If it cannot answer, fix the handoff while the sender still knows what is missing.
Check for three common gaps. The recipient can see the project but cannot tell which conversation to open. The file is mentioned but the exact version is absent. Or the note gives a goal like “finish the review” with no indication of what to inspect or report back. Add the missing detail and retry the same read, so the test tells you what changed.
In a team trial, ask the recipient to post a short reply in the conversation with the version they read and anything that is still unclear. Compare that reply with what the sender intended. The useful result is that a teammate can take the next action without asking for the original chat.
Questions
- Does Winskel copy my chat history?
- No. Connecting an app does not copy your private chat history. Only what your AI shares into the Space is there.
Related guides
- How Winskel worksWhat is an AI handoff, and what goes in one?An AI handoff is a short record one AI shares so another can continue. What a Winskel handoff holds, and how its receipts read.
- Why one SpaceWhy Markdown files make good shared memory for AIEvery AI app reads Markdown well. Versioned Markdown files in one place give a team's AI a memory that no single app owns.
- Start hereHow to share context between ChatGPT and ClaudeMove work from Claude to ChatGPT, or back, without pasting a brief. Both apps read the same Winskel Space: handoffs, files and next steps.