Various Outputs
Various Outputs is a multi-modal researcher tool built with 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 Implementation
The tool is constructed using LangGraph, a framework for building agent-based systems with structured workflows. This foundation enables the system to coordinate multiple research stages and manage complex investigation pipelines. Google Search integration allows the tool to retrieve current information, while Gemini 2.5 models handle the analysis and synthesis of findings across different modalities.
Capabilities
Various Outputs is designed to accept multiple input types and produce multiple output formats tailored to different use cases. The multi-modal processing capability allows the system to work with both textual and visual information simultaneously, enabling more nuanced investigations. The architecture supports generating outputs in various formats, making the research findings accessible for different applications and audiences.
Source Notes
- 2026-04-07: Building an AI Marketing Team with Claude Code Agents Skills · ▶ source
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- 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