Built a runtime layer so automation scripts and AI systems don't forget state
The majority of AI problems in production are related to runtime issues rather than model problems. A new runtime layer has been developed to address these issues, providing features such as memory that survives crashes and contextual behavior. This runtime layer aims to enable automation scripts and AI systems to retain state and make more informed decisions.
- ▪Most AI problems in production are runtime problems, not model problems.
- ▪The new runtime layer provides memory that survives crashes and resilience with checkpoints and retry logic.
- ▪The runtime layer also enables contextual behavior that adapts to real conditions and confidence awareness.
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"Most AI problems in productionare not model problems.They are runtime problems." Both SDKs are built around the belief that future AI systems need memory that survives crashes, resilience with checkpoints and retry logic, contextual behavior that adapts to real conditions, and confidence awareness — knowing how certain a decision is. Not just prompts. Not just workflows. Runtime intelligence.
Excerpt limited to ~120 words for fair-use compliance. The full article is at Stateflow Labs.
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