Transforming AI: From Monolithic Prompts to Scalable Systems
The era of the “Monolithic Prompt” is over. We’re entering a new age where Compound AI Systems are reshaping businesses through innovative frameworks.
Key Principles of Microagentic Stacking (MAS):
- Process Over AI: Focus on business logic; AI is just one component.
- Atomicity Over Generality: Break down complexity into the smallest cognitive units.
- Incremental Growth: Evolve your systems from simple to complex ecosystems step by step.
Technical Foundations:
- Atomic Responsibility (SRP): Each agent handles a specific task.
- Black Box Isolation: Orchestrators manage only inputs and outputs, not the internal mechanics.
- Strict Design by Contract: Rigid schemas ensure reliability.
- Hierarchical Orchestration: Build complex intelligence through assembly.
Governance Matters: MAS introduces standards like Prompt SemVer and Fail-Fast Validation, pushing us beyond mere prototypes to robust architectures.
👉 Read the Full Manifesto and join the conversation within the AI engineering community. Your insights are welcome!
