What is cross-AI continuity and why does it matter?
Cross-AI continuity means work started under one AI model survives switching to a different model. Zambo implements this via session trails: tool results persist server-side, so a second call with just the session ID gets prior results quoted back verbatim. The model is disposable. The work isn't.
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 | Signed 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 first — 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.
Read the full continuity guide · Install Zambo · Back to zambo.dev