a systems designer driven to introduce "wholistic" operating systems
for professional and individual use. AND for meaningful Human-AI partnering.
where pattern recognition begins
Between a Cherokee medicine woman grandmother, a Texas rancher grandfather, who taught physics, and a fundamentalist upbringing layered over fractured family dynamics, Phil learned early that real understanding requires holding multiple realities simultaneously without collapsing them into false simplicity. This multi-faceted reality became the foundation for his life's work: creating systems that value context rather than reducing complexity to linear fragments. Where others saw contradictions to resolve, Phil saw patterns to map—a fundamentally different approach to both human understanding and technology design.
spherical modelING Topology
Shows everyday life in context
Phil created a framework—patented for its novelty long before the industry had a name for contextual reasoning—that prompts individuals, partners, corporate leaders, teams, and communities to see, think, and act within wholistic mental models.
This approach converts complex challenges into visual conversation maps that supplement working memory's limits—preserving context while accelerating understanding and decision-making in situations that would otherwise overwhelm linear thinking.
Deployed, proven
Over twenty-five years, Phil and his partner Pam tested and deployed the framework across more than fifty applications. Coaches, counselors, consultants, and chaplains brought it into their practices, their graduate training, their accredited continuing education. Agency- and foundation-supported projects followed—HRSA, the U.S. Army, Robert Wood Johnson, Novo, Colorado Health, Well Being Trust—and Phil's documentation and case summaries grew with every project. The record now spans 45,000 people, from high schoolers to CEOs, who mapped their own situations. All of it before AI integration.
The role of AI
Human situations are less a sequence of events than a geometry of circumstances — a dance of reactions, motives, and perceptions inside the way each person thinks. This is what Spherical Modeling Topology renders. The framework sits on top of existing AI systems as a contextual reasoning layer—the infrastructure for wholistic human-AI collaboration.
Wholistic Mission
Phil's intention is to inspire people to chart their own informed life courses by connecting the actions, decisions, and hopes for change that drive their behaviors. The approach supports personal meaning-making through contextual reasoning—not prescriptive formulas—because real life unfolds in the absence of absolutes.
SPherit Co-FOunders
Phil and Pam Lawson are the co-founders of Spherit, an R&D company in Colorado focused on human-centered technology for contextual reasoning. While operating Spherit, they've worked with business leaders, healthcare professionals, educators, and organizations across diverse fields. Their role has been to synthesize expansive information into single, comprehensible visuals that streamline complex conversations and decision-making. The work traces back to Phil's 2004 book, Being Spherical, and runs through projects like the Well-Being Sphere of America—both kept online as archives.
