Building a Tool to Leverage Multiple AI Assistants
The author built a tool called HalfGenius that allows users to ask questions to ChatGPT, Gemini, and Claude simultaneously and view their responses side-by-side. The tool also includes a built-in Assistant to synthesize the responses and help users go deeper.
Why it matters
This tool demonstrates the potential of combining multiple AI assistants to leverage their unique strengths and provide more comprehensive and insightful responses.
Key Points
- 1HalfGenius asks ChatGPT, Gemini, and Claude simultaneously and displays their responses side-by-side
- 2The tool includes a built-in Assistant to synthesize the responses and provide additional insights
- 3The author used Claude Code as their implementation agent and built the tool in 20 days with no prior coding experience
- 4The tool offers long-term memory via Retrieval Augmented Generation (RAG) to get smarter over time
Details
The author, a non-programmer, got tired of switching between different AI assistants like ChatGPT, Gemini, and Claude to get the best answers. Each AI has unique strengths, so the author decided to build a tool called HalfGenius that can leverage multiple AI assistants simultaneously. HalfGenius asks the three AI models the same question and displays their responses side-by-side. It also includes a built-in Assistant that synthesizes the responses and helps users go deeper. The tool uses Retrieval Augmented Generation (RAG) to store conversation history, allowing the Assistant to get smarter over time. The author was able to build HalfGenius in just 20 days using Claude Code as their implementation agent, despite having no prior coding experience.
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