From Silicon Valley garages to national catch-up strategies, stories of innovation often revolve around success, breakthroughs achieved against the odds, visionary leadership and moments of transformation. These accounts inspire, but they also distort. They gloss over the false starts, the structural constraints and the mundane institutional work that quietly underpins technological change. Failure, in contrast, is rarely given serious analytical attention. It is treated as an embarrassment to be explained away, rather than a central feature of innovation itself. In policy and academic discourse alike, the focus remains on inputs and outcomes, not on the uncertain, iterative processes in between. But it is precisely in those processes, where ideas falter, adjustments are made, and systems are tested, that real capability is forged. Understanding innovation requires moving beyond heroic narratives and paying attention to the slow, uneven and often frustrating work of building systems that can adapt, learn and endure over time.