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Research
Knowledge
Knowledge is The Strategy Stack research layer: structured concepts, methods, and topic maps that help operators navigate strategy, business models, and AI systems without treating every question as a new essay.
Use Knowledge when you need a precise definition, a diagnostic framework, or a topic map that connects related ideas to Discover collections and long-form research. Essays argue and persuade at length. Discover gathers curated external resources. Knowledge holds the durable reference spine across six domains — Strategy & Competition, Business Models, AI & Technology, Organizations & Operations, Innovation & Growth, and Decision-Making & Execution.
Start from featured concepts and frameworks below, browse by domain, or jump into Discover when you need tools and libraries attached to these ideas.
Search this Knowledge catalog.
Featured frameworks
- frameworkAgentic Operating ModelTSS Agentic Operating Model — practical building blocks for embedding agents with decision rights, governance, feedback, and human oversight.
- frameworkData Moats & Learning AdvantageA diagnostic guide for evaluating whether data creates learning-speed advantage — and the practical moves that turn interaction into a proprietary moat.
- frameworkFour Levers of LeverageTSS Four Levers of Leverage — Code, Content, Capital, and Collaboration — as an operator audit for where output still scales with effort.
Featured concepts
- glossaryAgentic operating modelAn agentic operating model (AOM) is The Strategy Stack’s enterprise framework for running a business where AI agents interpret intent, plan and coordinate work, act within constraints, and learn from outcomes — alongside humans who retain decision rights over goals, ethics, and exceptions.
- glossaryCapability theory of the firmThe Capability Theory of the Firm is The Strategy Stack’s strategic interpretation that organizations are coordination technologies whose advantage increasingly depends on a rearrangeable network of capabilities — not on fixed departments, products, or org charts — as the economics of coordination change.
- glossaryData moatA proprietary data moat is a defensible advantage that appears when a system generates unique interaction and feedback data competitors cannot easily reproduce, legally use, or refresh at the same cadence — because the data is inseparable from how the product learns.
- glossaryIntelligence layerThe intelligence layer is the engineered surface where an organization turns live signals into coherent action: sensing, interpretation, decision logic, execution, and feedback — repeatedly, under imperfect information.
- glossaryRevenue architectureRevenue architecture is the system design for how value flows through a business and where it is captured — streams, capture points, monetization mechanisms, and how layers reinforce each other — rather than a single price tag or packaging chart.
Topic map
- topicData MoatsWhen proprietary data makes a system learn faster than rivals can copy.
- topicIntelligence LayerThe system that turns signals into coherent action — and improves through feedback.
- topicRevenue ArchitectureThe system design for how value is captured — not just how prices are labeled.
- topicFour Levers of LeverageHow Code, Content, Capital, and Collaboration multiply output beyond linear effort.
- topicAgentic Operating ModelRunning the firm with agents embedded in core operations — with governance and human decision rights.
- topicCapability Theory of the FirmCompetitive advantage as the ability to rearrange what the organization can do.
Related Discover collections
- DiscoverThe Free AI Agent Directory/discover/ai-agent-directory
- DiscoverThe Enterprise AI Playbook Library/discover/enterprise-ai-playbook
- DiscoverThe AI Research Stack/discover/ai-research-stack
- DiscoverThe AI ROI Library/discover/ai-roi-library
- DiscoverThe Strategy Template Library/discover/strategy-template-library