Jev-blindspot – the blind spots in the prompt you just sent (github.com)

Jev-blindspot has launched as a valuable tool for Claude Code and Codex CLI users, helping to identify blind spots in prompts submitted to these AI models. This side panel does not alter the prompts but runs in parallel, analyzing what the prompt may have overlooked—key considerations that could significantly change the outcome. Users can install it with Node 20 or newer, a TypeSafe API key, and gain insights without consuming additional model turns, thereby improving the efficiency of the interaction. The significance of jev-blindspot lies in its ability to enhance the quality of AI-generated responses by encouraging better prompt formulation. This is crucial for the AI/ML community as it addresses a common challenge: the inability to recognize unknown gaps in knowledge that can affect AI performance. By utilizing a two-stage process—first verifying if there's a blind spot and then running a lightweight model to identify it—jev-blindspot empowers users to create more thorough requests. Ultimately, this tool serves as a "thinking aid," helping users understand what questions they may not have thought to ask, streamlining workflows, and leading to better results from AI systems.