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AI Assistants

884 summarised stories about AI Assistants, each linking back to the original source. Browse all topics →

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Wednesday, 2 September 2026

QApilot MCP for Android

Product Hunt 1 month ago 43

QApilot launched QApilot MCP for Android to automate mobile app test flows by having a coding agent talk to Claude, Cursor, or Codex instead of writing Appium code. It runs tests on real Android devices and emulators, and each test pass saves a Gherkin feature file as a replayable test case. This shifts Android testing toward faster, more repeatable coverage with less manual effort by turning described steps into cached, re-executable automation.

Proactive cyber defense for governments and enterprises

Google 1 month ago 16 ● 3 sources

Google launched the Fairwind Program to provide selected governments and trusted partners access to its AI-driven cyber defense capabilities. It will give participants access to Gemini 3.8 Flash Cyber combined with CodeMender. Defenders can generate verified, deployment-ready vulnerability patches in minutes inside secure cloud environments under strict access and security standards.

Texas Police Used AI to Write Report About Using Flock to Search for Woman Who Had Abortion

404 Media 1 month ago 7

The Johnson County Sheriff’s Office in Texas used Axon’s Draft One AI tool to help draft a police report after using Flock to search over 80,000 cameras for a woman who self-administered an abortion. A spokesperson said Draft One generates a preliminary narrative within about five minutes after uploading and transcribing body-camera audio. The case adds another example of AI being used in sensitive policing work, while the sheriff’s office still refuses to release body-cam footage or redacted evidence.

Amazon’s AI assistant can now spot fake emails from the company

The Verge 1 month ago 27 ● 3 sources

Amazon updated Alexa’s Shopping AI assistant to check whether an email, text message, or phone call claiming to be from Amazon is authentic. The assistant compares the message to a record of every message Amazon has sent and will only confirm when it is completely certain. This adds an on-demand verification step for customers, reducing their reliance on visual cues to spot impersonation scams.

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