7M
Adaptive AI reasoning.
An orchestration architecture combining intent decomposition, knowledge routing, parallel reasoning, verification and cost-aware optimisation. It is designed to select a reasoning strategy appropriate to each task rather than relying on a single fixed pathway.
Intent decomposition
A defined component within the proposed architecture, intended to support more reliable decisions and clearer system behaviour.
Multi-path reasoning
Structured processing and explicit criteria guide selection, interpretation or optimisation.
Verification and adaptive optimisation
An area for progressive engineering, evaluation and refinement as the technology is developed.
The challenge.
Complex requests can require different reasoning paths, sources and degrees of verification.
How it works.
A proposed modular sequence decomposes intent, selects knowledge sources, explores reasoning paths and adds verification and cost-aware optimisation.
Conceptual workflow, not a production system diagram.
Development position.
Research architecture / concept; the supplied materials describe modules but do not independently establish production performance.
Where it may apply.
Decision support, technical research, document analysis and controlled enterprise AI workflows.
Questions still open.
Evaluation on real tasks, reliable verification, memory safety and demonstrated gains against fixed baselines remain open.