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What is cross-AI continuity and why does it matter?

Q: Why does cross-AI continuity matter?

Today, switching from Claude to GPT or any other model swap can lose working context. Continuity infrastructure means the work outlives the model that started it.

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A handover brings the recorded AI work and its verifiable receipts into one proof link. Review the evidence behind each claim, check what was and was not observed, then Accept or Flag.

Last updated: 2026-10-17

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Advanced (for developers)

AI Agent Execution Receipt: An AI Agent Execution Receipt is per-call proof that an AI agent did a specific job: receipt ID, SHA-256 of the canonical request bytes, timestamp, the tool called and its arguments, and the observed result - checkable by anyone at its public receipt page.

An open draft spec for AI work receiptsRead the AER-1 execution-receipt spec →

Advanced (for developers)

AI agent execution receipt: A verifiable record of one AI agent tool call, with its UUID, timestamp, SHA-256 hash of the event, and public verification page. It gives a handoff a concrete record of the completed step.

VerdictAs models proliferate and users switch between them, the execution layer - not the model - becomes the durable asset.

Comparison

Approach	What carries over?	Proof of execution?
Zambo session trail	Tool results, session state, and receipts	Yes - hashes and audit URLs
Chat transcript	Words that must be re-read and regenerated	No
Single-product memory	Facts inside one AI product	Usually no
Local context transfer	recorded semantic context between local models	Not a hosted tool-execution trail

FAQ

How does Zambo's session continuity work?

Pass a stable session ID with your calls to https://zambo.dev/api/mcp. Tool results from earlier calls in that session are retrievable by later calls, even from a different model.

What persists across sessions?

Tool results persist. To make something memorable, materialize it as a tool call before the handoff - the trail stores executions, not arbitrary conversation.

Why does this matter?

Today, switching from Claude to GPT or any model swap can lose working context. Continuity infrastructure means the work outlives the model that started it.

LIVE WORKED EXAMPLE
Open a live AI agent receipt. It exposes the tool call, timestamp, event hash, observed result, and public evidence page.

What are AI agent receipts? · AI agent proof of work · Check an agent's claim · Invoice evidence · Make agent work verifiable · AI continuity · Cross-AI continuity · Zambo vs C2PA · Zambo vs AI content detectors · Install the Zambo connection

AER-1 is an open draft spec authored by Brennan Zambo..

For developers

Add Zambo to your AI

For developers

Try a handover

A handover gives your client one proof link with verifiable receipts to review, then Accept or Flag.

try it: say 'use zambo to hand this over to <client>' in your ai

Add Zambo · Handover docs · Real public handover · AER-1

What is cross-AI continuity and why does it matter?

Comparison

FAQ

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