Four words, no technical terms, no idea which setting is wrong.
Fixby turns it into one tap on the right screen.

llm_response.txt

Ask a normal model and it invents a link

Language models are trained on the open web. When they don't know a settings path, they write one that looks right.

$ suggested path
samsung.com/support/battery-fix-s24
404 Not Found — does not exist

The cache cascade

Queries resolve at the fastest, cheapest tier available before ever touching the heavy model.

Exact Match Cache
< 2ms
Semantic Vector Store
< 40ms
RAG + Knowledge Graph
< 200ms
Deep LLM Fallback
< 800ms
Constrained Output

The model never writes a link. It picks one.

Retrieval hands it five verified IDs from Samsung's catalogue. The output format accepts nothing else. A fabricated URL has no code path to be produced.

SKG-4821SKG-0093SKG-1147SKG-7732SKG-5501
Selected: SKG-4821 — Battery > Optimization > Background Activity

Parent menus are the wrong answer

"Go to Settings > Display" still leaves the user hunting. Fixby descends the full Samsung Hierarchical Knowledge Graph to output the exact leaf node.

Settings
Battery & Device Care
Battery
Background usage limits
Tracing path... depth 12 of 18
EXCEPTION: AccessibilityServiceCrashOneUI 7.1

UI automation always breaks

Simulating screen taps via accessibility services is incredibly fragile. A single OS update, theme change, or font size adjustment breaks the entire pipeline.

OS Update 7.1.2 → tap target shifted 4px
Theme change → element ID reassigned
Font scale 1.3× → layout overflow, tap missed

Manual troubleshooting is archaic

Users are forced to dig through outdated YouTube tutorials and dead forum threads just to find a single buried setting. The mental load is entirely on the user.

Finding solution...47 min elapsed
Reddit thread (2019)YouTube — outdatedSamsung forum (deleted)Stack Overflow — no answer

Resolved.

System Telemetry

Enterprise-Grade Speed

Fixby doesn't rely entirely on slow, expensive LLM calls. A multi-tiered caching architecture intercepts known intents at the edge, resolving issues instantly and deterministically.

Vector Cache Latency
18 ms
Intent Accuracy
99.8 %
Deep LLM Fallback
< 10 %
SHKG Leaf Nodes
14.2 k

Live diagnostic engine

Try it.

Plain language in. Exact settings path out.
No links invented. No menus to hunt.

5G78%
Swipe to unlock

Fixby Demo Guide

Follow these steps to experience the diagnostic engine:

Describe an issue

Type "battery draining fast" in the search box, or use the quick chips.

AI Resolves the Path

The engine will query the live backend to find the exact leaf node in the Samsung hierarchical graph.

Simulate on Phone

Watch the One UI settings animate automatically. You can also view the X-Ray HUD for latency metrics.