Research concepts and review gates
These are ideas AnovaAI Labs may investigate, not announced products or active previews. Each concept needs a scoped feasibility review before prototyping or external evaluation.
Ideas that require evidence
Agent Workflow SDK Concept
ConceptA possible developer interface for defining agent behavior, tool permissions, and review steps. Feasibility work would need to validate API boundaries, observability, and safe execution before external testing.
Narrow Model Builder Study
ConceptAn investigation into whether small, task-specific models could support bounded workflows. Any useful latency or quality target would depend on the task, model size, hardware, and a defined baseline.
Memory Explorer Concept
ConceptA proposed interface for inspecting stored context, source relationships, and retention controls. A review would need to address privacy, provenance, deletion, and access boundaries before prototyping.
The gates before any external test
Concept definition
Define the user problem, intended boundary, required evidence, and the conditions that would stop the work.
Feasibility review
Review data access, technical constraints, privacy, safety, cost, and a measurable baseline before deciding whether to prototype.
Controlled evaluation
If a concept passes review, test it in a limited environment with human oversight, explicit success criteria, and a rollback path.
Release decision
Evidence may support another test, a scoped release, a redesign, or stopping the concept. Progression is never automatic.
What a responsible test would require
An external evaluation would begin only after a concept passes feasibility review. A participant, scope, dataset, success measure, human-review path, and stop condition would be documented before testing.
Research Concepts, Common Questions
Have a bounded research question?
Share the problem, available evidence, and decision it could improve. We can discuss whether it is suitable for a scoped feasibility review.