{"id":17297,"date":"2026-02-21T11:29:20","date_gmt":"2026-02-21T11:29:20","guid":{"rendered":"https:\/\/www.appservgrid.com\/paw92\/?p=17297"},"modified":"2026-02-21T11:29:40","modified_gmt":"2026-02-21T11:29:40","slug":"two-llm-pipeline-experiment","status":"publish","type":"post","link":"https:\/\/www.appservgrid.com\/paw92\/index.php\/2026\/02\/21\/two-llm-pipeline-experiment\/","title":{"rendered":"Two LLM Pipeline experiment."},"content":{"rendered":"\n

This document is an experimental report on a two-model LLM pipeline built with the mshell Ecosystem \u2014 an AI-mathematical powered shell developed by Art2Dec SoftLab that supports C, C++, Rust, Go, Python, Lua, Bash and native mshell scripting. The experiment demonstrates how two AI models can collaborate within a single Markdown document to generate, review, improve, and execute a C\/OpenGL 3D solar system visualization \u2014 without any manual code editing. The pipeline passes code between models through mshell’s Interlang session variable system, with the mshell Validator automatically resolving compiler flags from include directives. The document includes the full pipeline Markdown source, all three versions of the generated code, a step-by-step execution log, and five practical conclusions about multi-model collaboration \u2014 including the observation that models evaluate code more critically when reviewing work they did not generate themselves.<\/p>\n\n\n\n\n \n