How FineTuneMyAI Works
Our core architectural invariant: The cloud coordinates, your hardware computes, and your sensitive AI assets remain local by default.
Traditional AI fine-tuning platforms require uploading multi-gigabyte models and confidential corporate corpora to cloud GPU clusters. FineTuneMyAI runs the control plane in the cloud (for dashboard UI, job queuing, and team management) while executing all ML operations through a native daemon running on your local machine.
Your filesystem paths never leak to the web. When the local agent registers your local models or corpora, it generates anonymous, opaque hashes such as model_47ca11 and corpus_8d74be. Only your local daemon knows the physical path on disk.
To prevent remote-access vulnerabilities, the server cannot send raw shell commands or bash scripts to your machine. Communication is strictly governed by a schema-validated, allowlisted command protocol (TRAIN_START, EVALUATE_START). Commands like RUN_SHELL or EXEC_COMMAND are unconditionally rejected by the agent.
Once training starts, your machine executes autonomously. If your internet connection drops or you put your laptop in airplane mode, the local agent continues optimizing gradient steps and writing checkpoints to local storage. Once online, telemetry resumes syncing.