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Field notes from building an LLM-native data analysis platform — reproducibility, three-stage architecture, and the gap between ChatGPT-style answers and an audit-ready statistics tool.

2026-05-056 min read
Replace SPSS with AI: Run ANOVA, T-Tests, and DoE in Plain English
For decades, software like SPSS defined the experience of data analysis through rigid, point-and-click interfaces designed in a different era. Today, the bottleneck is no longer the complexity of the calculation, but the time spent hunting through endless sub-menus to find the right test. Lattice changes this dynamic by allowing you to state your intent in plain language. By pairing your request with deterministic Python tools, we replace manual navigation with automated, transparent workflows, ensuring that every result is fully auditable and reproducible while keeping your focus on the actual data.
2026-05-056 min read
Moving Beyond Generative Code: Why Deterministic Analysis Matters for Research
Conversational AI tools suggest that data analysis is as simple as asking a question in plain English. While these models can process CSV files and generate Python scripts on the fly, they often create a hidden problem for researchers and analysts. Because the code is written from scratch every time you prompt the model, the exact steps taken to reach a conclusion can drift. This lack of consistency makes it nearly impossible to replicate your own work later. True analytical rigor requires more than just a fluent interface; it requires a stable, predictable foundation for every calculation.

Replace SPSS with AI: Run ANOVA, T-Tests, and DoE in Plain English

Moving Beyond Generative Code: Why Deterministic Analysis Matters for Research