One of the most useful questions I have started asking AI has nothing to do with the project itself:
“Is there a prompt I should use in the next session?”
It sounds almost too simple to matter. But after spending countless hours working with AI on increasingly large projects, I am realizing that knowing how to end a session may be nearly as important as knowing how to begin one.
Recently, I had been working in Claude Design on several connected projects for KeepTRiX. We had completed the brand asset guidelines, prepared a demo for the agency I am pitching first, and created a full social media kit. The work in that session had reached a natural stopping point, but I was ready to move on to the next phase: reviewing screenshots of the actual KeepTRiX SaaS interface.
I asked:
Should we continue here or start a new chat? I want you to look at screenshots of the KeepTRiX SaaS and get your suggestions.
Claude recommended starting a new chat. The brand work was complete, the files had been exported, and a fresh context would be better for reviewing the screenshots.
That made sense. The existing conversation contained a tremendous amount of useful history, but it also contained decisions, revisions, abandoned ideas, asset-generation work, and discussion that was no longer directly relevant to the next task. More context is not always better context.
So I asked one more question:
Is there a prompt I should use in the next session?
Claude gave me this:
I have a design system + brand kit for KeepTRiX in the project (path_). Read those first. Then review the attached screenshots of the KeepTRiX SaaS app UI and give me concrete suggestions—where the UI diverges from the brand system (type, color, spacing, density, component patterns), and where the UX itself could be stronger. Prioritize by impact. Don’t build anything yet.
It then added:
If you want mockups after the review, ask for them in a follow-up so the critique stays separate from the build.
That last sentence may have been the most useful part of the entire exchange.
A New Session Should Not Mean Starting Over
When we work with people, we naturally create handoffs.
A designer may give a developer a design system, annotated files, and implementation notes. A project manager may document what has been approved, what remains open, and what needs to happen next. A departing employee may prepare a transition document so the next person does not have to reconstruct months of decisions.
But when working with AI, it is easy to move from one conversation to another without creating that same bridge.
We open a new chat, attach a few files, and say something like, “Can you review this?”
The AI may produce a perfectly reasonable answer. But it may not know which documents are authoritative, which decisions are final, what role it should take, what kind of output we need, or what it should deliberately avoid doing.
The result can be competent but disconnected work.
A good handoff prompt tells the next session where the truth lives and what to do with it.
What a Good AI Handoff Should Include
The prompt Claude created for me was effective because it answered several important questions.
What has already been completed?
The brand system and supporting assets were finished. The next session did not need to reopen those decisions.
Which materials are authoritative?
The prompt named the specific files and directories the AI should read before reviewing the screenshots.
What is the new task?
Review the SaaS interface against the established brand system and identify UX opportunities.
What dimensions should be evaluated?
Typography, color, spacing, density, component patterns, and usability.
How should the results be organized?
Concrete recommendations, prioritized by impact.
What should the AI not do yet?
Do not build anything.
That final boundary matters. Without it, an AI design tool may jump directly from observation to redesign. It may begin generating mockups before it has thoroughly explained the problem. The review and the proposed solution can become intertwined, making it harder to evaluate whether the underlying critique was sound.
By separating the critique from the build, I can review the findings first. I can agree, disagree, clarify constraints, or identify recommendations that are not practical. Only then do we move into implementation.
That is not just a prompting technique. It is good project management.
More Context Is Not Always Better
Long AI conversations can feel valuable because they contain so much history. Sometimes continuing in the same session is absolutely the right choice, especially when the next task directly depends on a chain of reasoning that just occurred.
But long conversations can also accumulate noise.
There may be early ideas that were later rejected, temporary names, outdated requirements, competing directions, or multiple versions of the same document. Even when the AI can access the conversation, it still has to determine which parts deserve the most attention.
A fresh session can create a cleaner working environment, provided we do not confuse “fresh” with “context-free.”
The goal is not to carry every word into the next conversation. The goal is to carry forward the right information:
- the final decisions;
- the authoritative files;
- the current objective;
- the relevant constraints;
- the expected output;
- and the next boundary.
That is the difference between conversational history and a usable handoff.
Ask the Current AI to Brief the Next AI
The simplest solution may be to make the handoff part of the workflow.
At the end of a meaningful phase, ask:
Should we continue in this conversation or start a new one?
Then ask:
Is there a prompt I should use in the next session?
The AI that has just completed the work is in an unusually good position to prepare that prompt. It knows what was decided, which materials matter, what remains unfinished, and which instructions would help prevent the next session from heading in the wrong direction.
You could also ask it to include:
- the decisions that should be treated as final;
- the files that should be reviewed first;
- unresolved questions;
- terminology that must remain consistent;
- known limitations;
- and actions the next session should not take without approval.
For larger projects, I may start asking for both a handoff prompt and a brief decision summary. The prompt directs the next AI session. The summary becomes a more permanent project record that I can store with the rest of the documentation.
A Reusable Handoff Prompt
A basic handoff request could be as simple as:
We are ending this phase of the project and will continue in a new session. Write the exact prompt I should paste into the next conversation. Include what has been completed, which files or sources should be treated as authoritative, the next objective, important constraints, and the format of the desired response. Clearly state what the AI should not do yet.
For a more complex project, I might use:
Prepare a handoff for a new AI session. First, summarize the final decisions from this conversation and distinguish them from ideas that were discussed but not approved. Then write a ready-to-paste prompt for the next session. Name the materials it should review, explain the next task, define the role it should take, list the criteria it should use, and specify the expected deliverable. Include any boundaries that will keep analysis, recommendations, and implementation from becoming mixed together.
The exact wording will change, but the purpose remains the same: do not make the next session reverse-engineer the project.
The Handoff Is Part of the Work
I am building KeepTRiX around the idea of maintaining trusted information that can power many different outputs. The same principle applies to working with AI.
The conversational transcript is not necessarily the source of truth. It is the workspace where ideas were explored. The final files, decisions, requirements, and handoff instructions are the trusted record.
That means the handoff should not be an afterthought. It is a project deliverable.
From now on, whenever I reach the end of an important AI session, I plan to ask for a handoff prompt before I leave. I want to see whether this produces more consistent results, reduces repeated explanations, and keeps each new phase focused on the work it is actually supposed to do.
And I suspect I will be asking one question much more often:
“Is there a prompt I should use in the next session?”