Graded D on resilience. In Vannus's assessment it has not disclosed which model it runs — single-point-of-failure risk.
Autonomous coding agent from Google Labs. Users connect a GitHub repository and give a prompt; Jules produces a plan, shows code diffs for review, and opens pull requests. Handles bug fixes, dependency and version updates, test writing and feature building. The free tier runs on Gemini 2.5 Pro; paid tiers give access to newer models "starting with Gemini 3 Pro."
Not disclosed. Google Jules does not publish which model it runs, so this criterion is excluded and the grade rests on what we could verify. We say so rather than guess.
This is a separate question from the grade above. The grade measures resilience — whether the tool endures and whether you could leave it. This measures who can compel your data. A tool can score modestly on one and strongly on the other, and many do.
The vendor's published or catalog-recorded posture — the concrete facts this grade is built from. A full audit verifies each against the vendor's current documentation.
Vannus grades Google Jules against nine dimensions of trust — data sovereignty, training privacy, compliance posture, operational resilience, exit portability, and more. The heaviest criterion asks whether the tool builds its own AI or resells someone else's model; where the vendor discloses it, the grade cites the vendor's own documentation. No paid placements — scoring is walled off from affiliate revenue. See the methodology →