spec.aexol
visitor DataProcessor {
can transform(
data: RawInput
) -> ProcessedOutput
can validate(
input: UserInput
) -> ValidationResult
}
workflow ProcessingPipeline {
step 01: validate input
step 02: transform data
step 03: emit artifact
}How It Works
IntelligentArtifactGeneration
Not just code generation — intelligent inference with self-evaluation that understands context and relationships
Write your intent as a declarative .aexol spec.
app.aexol
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Human intent → AI reasoning → Validated output
Dedicated Models
From ideato deployedmodel
No heavy ML pipeline. No fragmented tooling. Just a practical path from idea to a deployed model.
01
Describe the task
Start with a simple prompt. Describe the domain knowledge your model should learn.
Topic:
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AI Distillery
What teamsbuild withDistillery
Turn domain expertise into something reusable and deployable.
Example use cases
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