AI Session Handoff — Shift Change for Working Sessions
End a working session like a shift change, not an abandonment: state captured, decisions logged, next step named — ready for the next session to pick up.
Research sessions accumulate fragile state: coded findings, methodological choices, suspect signals. Hand it off with the rigor the research deserves.
Research work punishes sloppy handoffs doubly: lost state costs time, but corrupted state — a methodological caveat dropped, a suspect signal remembered as solid — costs validity. This setup loads a churn-research session in Detailed fidelity: the segmentation decision travels, the artifact-or-real question stays OPEN rather than silently resolving, the cohort-skew risk persists, and the sponsor's scope constraint binds the next session as it bound this one. The assumptions section carries the representativeness caveat that a casual summary would have dropped first.
Carry questions as questions
The artifact-or-real signal stays under OPEN QUESTIONS — unresolved travels as unresolved.
Keep caveats first-class
Detailed fidelity's assumptions section is where representativeness caveats survive.
Bind the scope forward
The sponsor's out-of-scope rule travels as a constraint — the next session inherits the fence.
The price-sensitivity signal sits under OPEN QUESTIONS marked 'unresolved: whether it is real or an artifact of question ordering,' and the HANDOFF INSTRUCTIONS tell the next session to 'resolve them or surface them, never drop them.' Because it travels as a labeled question rather than a bullet in a findings list, the next chat cannot quietly promote it to a confirmed churn driver.
It rides in a first-class ASSUMPTIONS section — 'We're assuming the Q3 cohort is representative; the sample skews slightly enterprise though' — which Detailed fidelity keeps rather than compressing away. The HANDOFF INSTRUCTIONS add 'do not change the stated assumptions, and do not invent new ones,' so the next session inherits the representativeness caveat as a binding condition, not as prose a summary would drop first.
Yes — edit the section bodies before running context-handoff-builder, keeping the labels intact: replace the churn objective under CURRENT OBJECTIVE, your own settled calls under KEY DECISIONS (here 'segmenting findings by acquisition channel'), and your real boundary under CONSTRAINTS (here the sponsor's 'must not propose pricing changes'). The tool assembles the Detailed package; you still paste it into your own assistant to continue the work.
Skip this when you want the finished, stakeholder-facing writeup rather than a continuation package — the notFor points that job to the Structured Summary Prompt. This resource keeps the work OPEN: the artifact-or-real question stays unresolved and PENDING TASKS still list 'the competitor-switching analysis and the executive summary draft.' It hands the next session live state, not a polished board deliverable.
End a working session like a shift change, not an abandonment: state captured, decisions logged, next step named — ready for the next session to pick up.
When the window fills, don't retype the project from memory. A handoff package carries the decisions, constraints, and pending work into the new session as its first message.
Done work tells stories; open work needs carrying. The package separates completed from pending and resumes from the first open task.
Token budget planning for real workloads: how much of the window a transcript actually consumes, what is left for the answer, and how much headroom remains.
The "message too long" error has a structural fix: split at paragraph boundaries into sequenced chunks with wait rules, instead of pasting fragments and hoping.
What a converged conversation contains: a rejected voice, an accepted framing, a hard constraint, a format decision, and a final-version moment — each mapped to its prompt section.
Continue work in a new chat without losing context — decisions, constraints, and tasks extracted into a state package.