Treat the 1M-token claim as a deployment test: profile long-context throughput, memory pressure and failure recovery on GB300 before rollout.

We can pair guarded internal connectors with AI app builders, then define ownership, review, permissions, and maintenance before wider rollout.

We can shift agents beyond code completion into plan-build-test-correct loops, while measuring changes that build, pass tests, and survive review.

Audit UI architecture for explicit state boundaries and predictable patterns, then compare agent sessions before and after a Compose migration.

We can examine the open data-generation pipeline for dataset construction, filtering, and scaling decisions relevant to large Indic pretraining runs.

We can use the design questions around voice, agents, and physical controls to reassess how developer interfaces capture intent and feedback.

We can prototype contract-aware intake with Gemma, clause matching, charge estimates, reply drafts, and a ledger, while treating the hosted demo as prerecorded.

Session visibility can expose sensitive local context. Set retention, access and redaction rules before publishing dashboards for staff.

Use the security skills as repeatable starting points, not findings: require evidence, reproduce each issue and assign review ownership.

Keep model-authored UI on a constrained protocol: validate OpenUI Lang, bound component inputs and retain deterministic fallbacks for errors.