How AI Is Quietly Rewriting Customer Support
The practical reality of AI in customer support: what works, what fails, and how teams are implementing it without alienating customers.
The practical reality of AI in customer support: what works, what fails, and how teams are implementing it without alienating customers.
A clear overview of the legal landscape around AI training data, ongoing lawsuits, and what practitioners need to know.
A decision framework for choosing between fine-tuning, RAG, and prompt engineering based on your specific use case and constraints.
An explanation of multimodal AI systems that process text, images, audio, and video, with practical applications and limitations.
A step-by-step guide to building a useful AI application in a weekend, from idea selection to deployment.
A practical explanation of vector databases: what they are, when you need one, and how to choose between the options available.
A practical framework for evaluating AI models on your specific task. Covers building evaluation datasets, production metrics that matter, and when to trust LLM-as-judge.
A grounded analysis of how AI will reshape work over the next year, based on current adoption patterns rather than speculation.