Combinations

Research Radar's vector graph surfaces pairs of completed builds that are semantically close but never combined. Each combination below is a higher-order build that fuses two source modules and produces a capability that exists in no single paper.

Future iteration: this page will render as an interactive force-directed graph where nodes are builds and edges are realized synthesis pairs.

Combination Status Source builds Date
Neural Design Generator with ANE Acceleration
Train a small neural network on Apple Neural Engine to generate optimized design specifications (JSON) that the HTML converter can render, enabling learned design patterns rather than manual specification
 succeeded 0c16ae7e0f74d57d 2026-04-06
Hardware-Aware Agent Training Orchestrator
An autonomous agent that dynamically decides when to train models on Apple Neural Engine vs CPU based on workload characteristics, resource availability, and performance profiling
 succeeded f98239d40f74d57d 2026-04-06
Self-Improving Design Agent with Visual Feedback Loop
An agent that iteratively refines web designs by observing rendered output, reasoning about visual quality, and regenerating improved HTML/CSS until design criteria are met
 succeeded 0c16ae7ef98239d4 2026-04-06
Neural-Optimized Web Component Generator
Train a lightweight neural network on Apple Neural Engine to predict optimal HTML/CSS component structures from design image embeddings, dramatically accelerating design-to-code conversion
 succeeded 0f74d57d38c98b3d 2026-03-20
Self-Improving Design Agent with Visual Feedback Loop
An agent that iteratively improves web designs by observing rendered output, reasoning about visual quality, and regenerating improved designs autonomously
 succeeded f98239d40c16ae7e 2026-03-20