AXI Framework: The Cure for the Cost Crisis in AI

AXI is a host-side layer that holds an AI job's exact state outside the chat, checks every reply with a deterministic gate before applying it, and sends the model a short fresh prompt at each step. Pre-registered tests on Gemini 3.8 Flash, open models, an NVIDIA T4 and L4 and a Google TPU v6e report exact state on 1,500 of 1,500 steps, prompts 169 times smaller on average, one exact step 4.5 to 9.3 times cheaper, and up to 185 times more sessions per chip. Predictions were hash-locked before each run and every figure can be recomputed from the saved files; the architecture is by Rajnish Choubey and the tests were built and run by Shalendra Gaur, with code at https://github.com/gaurshalendra2412/axi-runtime.