Market Trend Intelligence Agents for Business Decision Support

Added Jun 2025 3 design docs

Strategic decisions in growing companies depend on market awareness that founders rarely have time to maintain: which trends are accelerating, what competitors are shipping, and how customer expectations are shifting. Consultancies charge heavily for this synthesis, and internal teams doing it manually produce it too slowly to be useful. An automated analyst that continuously collects and digests market signals changes that equation. The intern builds this analyst as an orchestrated team of agents rather than a single prompt. Using CrewAI, the intern defines specialized roles: a collector agent that gathers market and trend information, an analyst agent that evaluates significance and finds patterns, and a writer agent that produces executive-ready summaries. OpenAI models power the reasoning and language work of each role, and the whole crew is exposed through a Python FastAPI service where a user submits a market question and receives a structured briefing. The intern designs the role definitions, the task handoffs between agents, and the API contract that makes the system consumable by other applications. The project demonstrates multi-agent orchestration with CrewAI, decomposition of an analytical workflow into cooperating roles, prompt design per role, and delivery of agentic AI as a dependable backend service.

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