About Miles & Methods

We believe every runner deserves access to the science that shapes how we train, recover, and stay healthy—without needing a background in physiology to make sense of it.

People come to running for many reasons. To feel stronger. To find stillness. To rebuild after injury or time away. To chase a goal, or simply to move forward. Wherever the path begins, curiosity often follows—and that's where Miles & Methods lives.

Miles & Methods gathers recent research and emerging scientific work on topics that matter to everyday runners: training approaches, recovery, longevity, and the connection between body and mind.

We use AI to discover, interpret, summarize, and organize this material—highlighting key ideas, patterns, and limitations—so runners can explore the science without getting lost in dense academic language. The goal isn't to prescribe answers, but to make the evidence easier to engage with.

Think of Miles & Methods as a bridge: between the lab and the long run, between curiosity and practice, between knowing just enough and still enjoying the miles.

Knowledge about running doesn't arrive fully formed. Some insights emerge from formal, peer-reviewed research. Others appear earlier, in preliminary findings or emerging data. Understanding evolves over time—iterative, imperfect, and shaped by context.

AI is used to help surface and summarize this information. These summaries are not final interpretations, prescriptions, or recommendations. They are meant to support curiosity: to make complex work more approachable, highlight patterns, and invite deeper exploration.

We believe the most useful summaries don't close the conversation—they open it. If something here nudges you to read an original study, question a familiar training habit, or pay closer attention to how your own running feels, it's doing meaningful work.

All content on this site is educational, not medical advice. Training and health decisions are personal and best made thoughtfully, with professional guidance when appropriate. Individual posts are labeled "AI-assisted" to indicate that summaries are generated with AI and presented as interpretive research musings.