Browsing: AI Tools

A practical workflow for using an artificial intelligence search engine: write better prompts, verify citations, iterate, and avoid confident hallucinations.

A practical walkthrough for teams new to AI: define the job, pick a platform, set up data, build a workflow, and measure results. Concrete examples included.

Retrieval-Augmented Generation (RAG) is the most widely used LLM use case across organizations. By vectorizing documents and retrieving semantically similar…

IntroductionIn this article, I am going to review and implement the deep learning paper titled “CBAM: Convolutional Block Attention Module”…

A practical, step-by-step Anyword guide: how to brief the tool, read predictive scores, edit the winners, and test copy that actually converts.

Learn how to use Amazon Code Whisperer effectively with this step-by-step guide. Real examples for Lambda, S3, and security scans. Boost your AWS coding speed.

A practical, step-by-step AIVA tutorial: choose presets, write a prompt, edit the sheet music, and export a 60-second track that actually fits your video edit.

My agency buys editorial placements from independent publishers. The supplier list is a little over 10,000 websites, every one of…

A hands-on guide to testing an AI writing detector with your own samples: five quick checks that show what its score really means and when to ignore it.

A five-step process for choosing, testing and chaining AI tools on real work, with timings, prompts, a worked example and the points where it breaks down.