James Collins

Modern AI agents and large language models (LLMs) are exceptionally capable at reasoning and generating text, but they often struggle to access real-time data or external tools without a lot of custom engineering. Traditionally, integrating an LLM with a database, an API, or other software required brittle glue code and

Search engines and AI are rapidly reshaping how businesses find opportunities online. Today’s “AI agents” – systems that autonomously browse and query the web on a user’s behalf – are already changing SEO best practices. For example, industry data shows that ChatGPT’s user agents doubled their web-search activity in

Modern travel planning demands fresh, structured signals and predictable automation. Flight availability, hotel inventory, and local recommendations are time-sensitive and often encoded in vertical search outputs. AI agents can directly assist in solving this problem. A reliable AI travel agent will combine the reasoning capabilities of a language model with

Modern language models are effective at synthesis but do not inherently provide fresh, verifiable information. Connecting a model to web search creates an autonomous AI agent that closes the gap: it enables current sources, systematic coverage of a topic, and traceable answers. This post describes a compact research agent that