Solution recordEvidence-scoped
Composable AI Application Systems
AI application code becomes hard to test when providers, prompts, tools, parsing, memory, and evaluation are tightly coupled.
- Audience
- AI application and platform developers
- Deliverables
- 3
- Evidence links
- 2
- Limitations
- 2
Problem and capability
Operating friction
AI application code becomes hard to test when providers, prompts, tools, parsing, memory, and evaluation are tightly coupled.
Capability boundary
Compose typed model, tool, parser, embedding, vector-store, and workflow components with application-specific evaluation.
Observed symptoms
- Provider-specific integrations dominate application logic
- Tool and parser behavior is difficult to isolate
- Evaluation is missing or application-agnostic
Expected deliverables
- Component and data-flow design
- Provider-aware implementation
- Task-specific evaluation harness
Representative evidence
- Swarmauri SDK public monorepo
- Peagen public generation workspace