The writing I have been doing on natural cycles, animus intensity, and seasonal alignment now lives at WeAreAllFarmers.org. MarcRagsdale.com will continue to focus on enterprise autonomy, the Ragsdale Framework, and the Race to Autonomy. This post explains why the split happened and what it means. Over the past several months, something has been pulling apart […]
Category: Human-First Design
The eight-minute re-entry tax
Leaders lose significant time every day to the dread of re-entering complex tasks after switching focus. I call it task re-entry load, and it is one of the most underestimated frictions in knowledge work. At Kaamfu.ai, we are solving it through Kai, our built-in AI assistant, who surfaces a crisp summary of where you left […]
What people really want from AI
Most professionals do not want to become AI operators. They do not want to configure prompts or stitch together fragmented tools just to extract value. They want AI to behave like competent staff, delivering the right information at the right moment without requiring constant supervision. Adoption will surge when AI stops waiting to be configured […]
Agents everywhere vs the super secretary interface
I listened to The Artificial Intelligence Show, where the host proposed monetizing AI by selling single purpose agents at the cost of a full time employee, positioned as doing the work of ten. It is commercially elegant but philosophically familiar, narrowing broad, low cost intelligence into boxed roles because that is easier to price. We […]
I don’t want to click anymore, and that is the point
After decades building software, I discovered I no longer wanted to use it. Endless clicking, switching, and interface friction create mental fatigue comparable to physical wear in manual labor. My work with Kaamfu centers on creating a transitional interface that recedes into the background. In a unified work environment where AI preserves context and manages […]
Reintroducing human cycles into business planning
Modern business calendars assume human capacity is flat, scheduling work without regard for natural fluctuations in motivation and clarity. I believe this is a mistake. By introducing Animus Intensity as a vertical axis and mapping it against time on a standard calendar, clear patterns emerge. Animus follows two predictable cycles: a slow solar rhythm across […]
Reintroducing a seasonal calendar as an operating reality
Professionally, I have long assumed that I should always be pushing and growing, regardless of what I was experiencing inwardly. If I was not building or accelerating something, I felt unproductive. And yet, nearly all of my work, from productivity systems and enterprise autonomy to prayer itself, is grounded in the recognition of cycles. As […]
The visibility problem at the heart of modern organizations
Every organization depends on people whose most important contributions often go unrecognized. Their work is steady rather than flashy, preventative rather than reactive, and foundational rather than performative. They keep operations stable, enable others to move faster, and prevent failures that never make it into reports because they never occur. As organizations grow more complex, […]
Moving toward cognitive capacity, the next evolution of Kai Monitor
Over recent weeks, we have been refining the next iteration of Kai Monitor, with a major focus on strengthening Load as a foundational gauge inside Kaamfu. Load is intentionally descriptive, giving teams a shared language to observe real-time demand without premature judgment. This work sets the stage for the next phase, Cognitive Capacity, which will […]
Visibility maximization: why transparent work beats perfect measurement
Kaamfu exists to make modern work visible, fair, and intelligible. As work has fragmented across tools and conversations, performance and wellbeing signals have become obscured, undermining both management insight and worker recognition. Kaamfu Pulse addresses this by making responsibility and contribution transparent. Early concerns about data accuracy are giving way to a clearer insight: when […]