AI IMPLEMENTATION
Automating Athletics News Intelligence
CLOSE CASE STUDY
THE CHALLENGE
Staying informed about the rapidly evolving world of athletics presents a significant challenge for professional teams and organisations. With news breaking across multiple continents, languages, and platforms throughout the week, manually tracking relevant developments becomes a time-consuming task that diverts resources from core training and performance activities. The UK Athletics team faced precisely this challenge: how to maintain comprehensive awareness of global athletics developments whilst allowing their staff to focus on what they do best, i.e. supporting British athletes to achieve excellence.
THE PALADIN APPROACH
We developed an intelligent web research assistant that operates as a fully autonomous agent on the Lindy platform. This sophisticated system leverages Model Context Protocol (MCP) capabilities to orchestrate a suite of specialised tools, creating a seamless news intelligence pipeline. Every Monday morning, the agent springs into action, systematically: - Searching across diverse athletics news sources worldwide - Retrieving relevant articles and breaking news stories - Curating content based on relevance and importance to UK Athletics - Assembling findings into a comprehensive digest format - Delivering a polished summary email directly to the team The implementation has delivered immediate and measurable benefits.
KEY OUTCOMES
Time savings: Staff can now redirect time towards direct athlete support
Consistency: Regular weekly delivery; everyone starts the week with the same information
Comprehensive coverage: News is no longer missed. Broader coverage than manual research
Focus: By automating the process, the team can concentrate on action rather than info gathering