Reusable ways to reason about software and AI decisions before the risk becomes expensive.
These frameworks turn recurring Dream Beyond research and engineering judgment into practical models that leaders and technical teams can apply to real systems. Each framework connects the underlying research to an assessment, service, or implementation path.
Current framework library
Three frameworks already grounded in published Dream Beyond work.
The library grows only when a concept has enough defined methodology, supporting research, and a practical use in advisory or engineering work.
The Dream Beyond 5-Level Agent Authority Model classifies an AI agent by what it is allowed to do in the real world. It separates model intelligence from operational authority so teams can design permissions, approvals, limits, identity, auditability, and recovery controls around the consequences of agent actions.
The Dream Beyond AI Software Assurance Framework treats trustworthy production AI as an ongoing evidence problem. Teams define intended behavior, evaluate whether the system performs adequately, deploy it under explicit authority and controls, observe production behavior, measure change, respond to failures, and continuously re-evaluate the system as models, data, prompts, tools, and business conditions change.
The Dream Beyond Software Longevity Framework evaluates whether a software system can continue to create value after the original developers, vendors, architecture assumptions, and AI coding sessions are gone. It examines understandability, changeability, testability, dependency survivability, architectural consistency, operational observability, and knowledge survivability.
A framework is useful only when it changes how a decision is made.
Dream Beyond uses framework pages as the bridge between thought leadership and action. The research explains why a problem matters. The framework makes the reasoning reusable. Assessments and services apply it to a specific system, team, or operating environment.
1Research establishes the problem and the reasoning behind the model.
2The framework defines a repeatable way to evaluate the problem.
3A checklist or assessment applies the model to the buyer's environment.
4Advisory or engineering work addresses the gaps the framework exposes.
5Evidence and future research improve the framework over time.
Use the framework before choosing the implementation.
Start with the model that best matches the risk you are trying to understand, then move into the related assessment, service, research, or delivered evidence.