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.
View Resource →Context Tools
Continue work in a new chat without losing what mattered. Paste the session and get a handoff package — not a summary for humans, a state package for the next AI session: decisions to honor, constraints to respect, tasks to resume, open questions to keep tracking — extracted verbatim, never paraphrased. Runs entirely in your browser.
Paste the chat or working notes to hand off — the detector extracts decisions, tasks, constraints, questions, and risks verbatim.
Forensic carries everything — every decision and assumption travels, and overriding one requires raising a question.
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.
View Resource →Done work tells stories; open work needs carrying. The package separates completed from pending and resumes from the first open task.
View Resource →Creative collaborations build invisible state: the voice you settled on, the structures you rejected. Carry it forward so the next session writes like the last one.
View Resource →Long threads die at the window wall. Checkpoint with a compact handoff while the conversation still works — and continue in a fresh chat without the bloat.
View Resource →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.
View Resource →Day three of a multi-day code change, chat nearly full: hand off the merged work, the chosen approach, the dangerous cache risk, and the cron audit still pending.
View Resource →Research sessions accumulate fragile state: coded findings, methodological choices, suspect signals. Hand it off with the rigor the research deserves.
View Resource →New sessions love to reopen settled questions. Forensic fidelity carries every decision verbatim — and overriding one requires raising an explicit question first.
View Resource →The flagship at full power: every decision, constraint, risk, assumption, and pending item of a complex project, transferred forensically as the new session's first message.
View Resource →Transferring a project means transferring its state: what's done, what's decided, what's frozen, what's left — at a fraction of the transcript's size.
View Resource →Get up to speed on an unfamiliar codebase in an afternoon — ground the AI in the project, have it explain the hard parts, and keep what you learn.
View Playbook →Carry a project into a new chat, model, or teammate without the context evaporating — capture the state, distill what's worth keeping, and rebuild it as durable context on the other side.
View Playbook →Paste the conversation or session notes you need to continue elsewhere, optionally state the current objective and the recommended next step, and pick a fidelity mode. The State Extraction Engine detects the session's working state deterministically — decisions, constraints, pending tasks, open questions, risks, assumptions, and completed work — and carries every item VERBATIM, deduplicated but never paraphrased; the live preview shows the detected counts as you type. Click Build Handoff Package for the nine-section package: current objective and state, key decisions, constraints, open questions, pending tasks, risks (plus assumptions in Detailed and Forensic), a recommended next step, and handoff instructions that tell the new session to accept the context, preserve the decisions, leave assumptions alone, track the questions, and continue rather than restart. Paste the package as the FIRST message of the new chat. Anything the detector missed gets an honest bracketed placeholder, never an invented item. Nothing leaves your browser.
No — and the difference is the whole product. A summary tells a human what happened; a handoff package tells the NEXT AI SESSION how to continue: which decisions are settled, which constraints bind, what remains to be done, what is still open. It's organized state with standing instructions, not narrative. The Structured Summary Prompt owns summaries for humans; this owns state for machines.
No AI reads anything: detection is deterministic pattern matching in your browser. Lines that signal decisions ("we agreed on…"), constraints ("must not change…"), tasks ("still need to…"), questions, risks, and assumptions are recognized, cleaned of speaker labels and timestamps, deduplicated, and carried VERBATIM into the package. What the patterns miss, you add by hand — the package marks every empty section honestly instead of inventing content.
How much state travels and how strict the instructions are. Compact carries the top three items per section — decisions, constraints, the next step. Standard takes five. Detailed takes eight and adds the assumptions section. Forensic drops nothing: every detected item travels, assumptions are first-class, and the instructions add two rules — decisions can only be challenged by raising an explicit question, and prior state gets quoted from the package rather than reconstructed from memory.
Because a new session's default behavior is to start fresh: re-derive things, re-open settled questions, politely ignore constraints it wasn't part of deciding. The instructions flip those defaults — accept the context as established, preserve decisions, leave assumptions alone, keep tracking open questions, and continue from the next step. Without them, the package is information; with them, it's a working contract.
Split when the AI needs the original MATERIAL — every word of the document, every line of the code; that's the Long Prompt Splitter. Hand off when the AI needs what the conversation ESTABLISHED — the decisions, constraints, and remaining work. A 200K-token session usually compresses into a 1K-token handoff, because most of a conversation is the road, not the destination.
Time scope. The Project Context Builder (coming soon) defines what the AI should permanently know about your project — conventions, glossary, stack — the stable knowledge that outlives any session. The handoff package is a snapshot of NOW: this objective, these open tasks, this next step. PCB is the employee handbook; the handoff is the shift-change briefing.