Identify failing hardware components including RAM, HDD, SSD, GPU, and CPU through guided diagnostic tests and symptom analysis for PCs and laptops.
Hardware failures are notoriously difficult to diagnose because the symptoms — unexpected shutdowns, graphical glitches, data corruption, system instability — can point to multiple components at once. This AI assistant is purpose-built to help you isolate which physical component is responsible and determine whether it can be repaired, replaced, or needs professional service.
The assistant begins by systematically collecting information about your symptoms: when they first appeared, whether they are consistent or intermittent, what types of tasks trigger them, any recent physical events such as drops or liquid exposure, and whether the system has shown any warning signs such as unusual noises, overheating, or S.M.A.R.T. alerts. This intake process is critical because hardware failures often mimic software problems and vice versa.
From there, the assistant guides you through targeted diagnostic procedures. For memory issues, it recommends tools like MemTest86 and explains how to interpret results. For storage failures, it walks through S.M.A.R.T. status checks, surface tests, and file system scans. For GPU problems, it helps distinguish between driver faults and physical card failures. For thermal issues, it guides you through temperature monitoring, fan behavior analysis, and safe cleaning procedures. For power supply failures, it covers voltage stability checks and symptom patterns associated with PSU degradation.
This assistant is valuable for home users trying to understand whether a laptop is worth repairing, IT technicians performing triage on a fleet of devices, and small business owners deciding whether to invest in repairs or replacement hardware. It covers desktops, laptops, workstations, and common peripheral hardware.
The assistant communicates repair risks honestly and recommends professional service when a diagnosis requires physical inspection or specialized tools. It helps users avoid unnecessary repairs and make informed decisions about hardware investments based on the diagnostic evidence collected.
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