You are working with an AI. The model understands your constraints, your tone, the decisions you have already made. Then something shifts. Responses become generic. Settled issues get reopened. The thread feels thinner.
You have likely hit the edge of the context window.
Every AI model can only process a finite amount of text at once. Once that limit is reached, earlier context gets deprioritized or truncated. Performance degrades, often subtly. The model does not announce the problem. It simply begins responding in ways that are slightly off.
The solution is not to push through degradation. It is to close the session deliberately, capture what matters, and start fresh with a clean context. That process is called a handoff.
The Full Guide
If you want to understand how context windows work, why degradation happens, and the theory behind handoff documents, I have written a detailed explanation here: AI Context Window: Guide to Long Conversations & Handoff Documents.
That post walks through the mechanics, the warning signs, and the reasoning behind each element of a good handoff.
The Interactive Checklist
If you already understand the concept and want a structured way to work through the process, I built an interactive checklist:
It covers four stages:
- Is it time to start a new conversation?
- Seven warning signs to watch for, from response degradation to natural task breakpoints.
- Before you close the current session
- How to ask the model to draft a handoff summary while the full context is still active.
- This is important: the AI can generate a summary, but you must verify it.
- Models compress nuance. Tentative ideas can be reframed as firm decisions. Important qualifications can be stripped out.
- The draft is a starting point, not a finished product. Read it critically before treating it as authoritative.
- What your handoff document must include
- The six core elements: project goal, key decisions, a “do not revisit” section, constraints, current status, and the immediate next step.
- The “do not revisit” section is the most critical. Models are naturally inclined to explore alternatives unless firmly told otherwise.
- Starting the new session well
- How to paste the handoff, confirm the model has understood key constraints, and maintain a living project summary outside the chat interface.
The checklist is designed to be reusable. You can work through it each time you need to hand off a project across sessions.
The Core Principle
Treat the AI as a collaborator who needs a clear brief, not an omniscient partner with perfect recall. The handoff document converts a structural limitation into a manageable workflow constraint.
If you use AI tools for iterative work — writing, analysis, coding, strategy — this process will eventually become relevant. Context windows are finite. Knowing when to hand off, and how to do it well, is part of using these systems competently.