Various Outputs
Various Outputs is a multi-modal researcher tool built using LangGraph and Google’s Gemini 2.5 models. The system performs comprehensive investigations across different types of input data and generates diverse output formats. By leveraging Gemini 2.5’s multi-modal capabilities, the tool can process and analyze text, images, and other data types to conduct thorough research tasks.
Architecture and Components
The tool is constructed using LangGraph, a framework designed for building agent-based systems with complex workflows. Google Search integration enables the researcher to gather current information from the web, while Gemini 2.5 models serve as the primary language and reasoning engine. This combination allows the system to conduct multi-step investigations that combine web retrieval, analysis, and synthesis.
Functionality
Various Outputs is designed to accept multiple input modalities and produce outputs in different formats suited to different use cases. The system can investigate topics by gathering information, analyzing content, and presenting findings in ways appropriate to the research goal, whether that involves summarized reports, structured data, or formatted documents.
Source Notes
- 2026-04-07: Building an AI Marketing Team with Claude Code Agents Skills · ▶ source
- 2026-04-08: Claude Cowork Desktop AI Co worker Core Capabilities and Advantages · ▶ source
- 2026-04-10: Google NotebookLMs Latest Features Enhanced Infographics AI Videos · ▶ source
- 2026-04-13: Australias Ord River Irrigation Project Economic Failure and Unforesee · ▶ source
- 2026-04-22: Google · ▶ source
- 2026-04-27: Claude AI · ▶ source
- 2026-04-28: Integrating Claude AI · ▶ source
- 2026-04-29: Google Deep Research · ▶ source