Prompt-Engineering Tool: AI-to-AI Testing for LLM
Spelltest framework simulates conversations between AI ‘synthetic users' in an environment to test and refine LLM-based applications. It ensures your app converse with utmost accuracy and relevance. Post-chat, Spelltest assesses responses, providing qualitative and quantitative feedback on performance. Suitable for both chat and completion modes. When to use: - After modifying your prompt. - When your LLM provider updates. - As a CI step for you repo. All feedback and collaborations appreciated!
Prompt-Engineering Tool: AI-to-AI Testing for LLM launched on October 25, 2023 with 37 votes, #1,270 of 4,393 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 2 years on.
In plain words
Spelltest is a testing framework that uses AI-powered synthetic users to simulate conversations and evaluate large language model applications. It runs automated tests on both chat and completion modes, then provides qualitative and quantitative feedback on response accuracy and relevance. The tool is designed for developers building LLM applications who need to verify performance after prompt changes, provider updates, or as part of their continuous integration pipeline.
written from the facts on this page · September 2026
From the sources
AI-to-AI Testing | Simulation framework for LLM-based applications - artas728/spelltest
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