This presentation introduces a classroom-ready approach to using NotebookLM as a reflective tool to support the development of oral fluency in a university EFL context. Students record short audio journals several times per week, producing regular, low-stakes spoken output. They upload either a transcript or the audio file itself, which NotebookLM can transcribe; the resulting transcript serves as the basis for analysis. Best practices for generating accurate transcripts will be briefly outlined. While audio files may be uploaded directly, pre-generated transcripts are typically faster and more efficient for classroom use. Rather than requesting general corrections, students ask for feedback focused on recurring grammatical errors across their output. NotebookLM can analyze a single journal, a specific week, or all accumulated transcripts, allowing learners to control the scope of feedback. This flexibility helps students identify recurring problem areas, track changes over time, and select actionable points for reflection. By analyzing transcripts of their own spoken language, learners engage in metalinguistic reflection grounded in authentic L2 output. NotebookLM does not replace instruction or speaking practice but serves as a reflective guide, supporting a more intentional path toward oral fluency.