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Gemini

Live (external source)

Gemini is an external Google AI product, not a Green Goods runtime dependency. The Green Goods repository does not currently include Gemini-specific configuration, scripts, or approved automation workflows.

Does Green Goods currently integrate Gemini?

No repo-level Gemini integration is documented in this checkout. Treat Gemini as an optional external research or analysis tool unless a future tracked workflow adds project-specific usage.

Externally documented capabilities​

The official Google documentation currently supports these general capability claims:

  • Gemini models support long-context workflows for large text, audio, video, and multimodal inputs.
  • Gemini API supports grounding responses with Google Search for fresher information and citations.
  • Vertex AI provides a production platform for generative AI applications using Gemini and related Google Cloud controls.

Safe Green Goods usage​

If a maintainer chooses Gemini for a one-off task, keep the boundary clear:

  • Use it for external research, long document review, or multimodal inspection where its documented capabilities are relevant.
  • Provide AGENTS.md, CLAUDE.md, and relevant source files manually when asking project-specific questions.
  • Do not treat Gemini output as repo truth without verifying it against tracked source and tests.
  • Do not add Gemini-specific workflow claims to docs until the workflow is represented in a tracked source.

Not source-backed today​

These claims are intentionally not made here:

  • that Green Goods uses Gemini in a standing pipeline,
  • that Gemini is cheaper for Green Goods workloads,
  • that Gemini has access to project-local context, or
  • that Gemini is the preferred reviewer or implementation agent for this repo.

Next page

Next best action

Project-local AI tooling should be grounded in tracked configuration.

MCP Guide