Upgrade backlog

This is the concrete implementation backlog for evolving SmallLanguageModel into a much smarter local reasoning system.

Upgrade Backlog

This is the concrete implementation backlog for evolving SmallLanguageModel into a much smarter local reasoning system.

Execution Rules

ship improvements in small vertical slices

Phase 1: Retrieval Foundation

Goal: make the current system answer the right question more often using better retrieval, better topic targeting, and better structured-data handling.

Phase 2: Structured Data Intelligence

Goal: make JSON, metadata, schemas, and semi-structured markdown first-class reasoning inputs.

Phase 3: Canonical Knowledge Layer

Goal: create a trustworthy truth layer for high-value topics so the model can answer clearly without inventing missing facts.

Phase 4: Evaluation System

Goal: make intelligence improvements measurable and regression-resistant.

Phase 5: Multi-Step Reasoning

Goal: stop relying on single-pass retrieval for complex questions.

Phase 6: Knowledge Graph and Memory

Goal: build relationship awareness across topics, models, people, products, and datasets.

Phase 7: Training Data and Teacher Signals

Goal: improve generation quality without depending only on raw corpus ingestion.

Phase 8: Model Architecture and Runtime

Goal: improve model capability once retrieval and eval foundations are solid.

Phase 9: Frontend Intelligence Features

Goal: expose smarter behavior in the UI, not only in the backend.

Immediate Sprint Backlog

These are the next best tickets to implement first.