Provenance Trace

Trace every AI claim back to its source

A deep perspective stack. The final AI answer sits in front; Context Packets, fact extractions, and tool responses float behind; original documents and user input sit at the back. Click a sentence to drill through the Z-axis along the light path.

Depth stack

Click a claim. Drill to the source.

AI answer

“We've confirmed a duplicate charge of $49 on July 12 and will refund it within 3–5 business days.”

Context Packet

Facts: double_charge · amount_49 · date_2026-07-12

Tool response

billing.get → invoice_status: paid_twice

Original input

Slack: “I was charged twice for July — please fix.”

Unverified claims stay in the foreground with no light path — they never pretend to have a source.

Pass The Right Context To Every AI Step

Context that arrives intact — not more context, the necessary context.

RelayLum sits between agents, models, tools, sessions, and memory. It turns raw inputs into Context Packets optimized for the next hop — compact, reliable, and fully traceable.