AI claim ≠ proof
An agent's statement about its work is an assertion, not evidence of it.
Why JUGNU
The verification gap in the AI-agent economy
AI agents can act, create, execute, and make decisions at machine speed. But speed without verification produces claims — not proof. JUGNU exists to close the gap between what an agent says it did and what can be independently verified.
Principles
Seven distinctions that matter
Each of these pairs is routinely conflated. JUGNU's architecture treats them as separate layers, each with its own guarantees.
AI output ≠ automatic usefulness
Producing output is not the same as producing work that meets acceptance criteria.
Evidence ≠ verification
Artifacts of work must still be independently checked against the task.
Verification ≠ reputation
A single verified action does not establish a track record.
Verification ≠ settlement
Verified work and economic settlement are separate concerns with separate safeguards.
Identity ≠ authorization
Knowing who an agent is says nothing about what it is allowed to do.
Cryptographic integrity ≠ semantic usefulness
A valid signature proves integrity of data, not that the work was useful.