Case study · 2025
PO Agent
Agentic product-planning platform
Turns a raw product idea into market research, user stories, PRDs and a phased release plan.
What it does
PO Agent turns a product idea into a plan. The idea enters a stateful, multi-stage LangGraph workflow that researches the market on the live web, defines the product’s scope, writes the technical documentation and lays out a phased release plan.
I built the foundational orchestration and stateful workflow, and owned the Tavily-powered research stage.
How it works
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Idea
A product idea starts a stateful, multi-stage LangGraph workflow.
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Research
Tavily gathers current market context and evidence from live web sources, producing competitor analysis, expected product workflows and a SWOT analysis.
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Scope
Research becomes an MVP feature hierarchy with user stories, sub-features, expected behavior and delivery requirements.
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Document
The workflow produces PRDs, architecture flowcharts and feature mind maps.
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Release
Work is sequenced into phased release plans. State is persisted in MongoDB and supports RAG retrieval.
What I built
- Built the foundational LangGraph orchestration and stateful workflow for a multi-stage, agentic product-planning platform.
- Converted an initial product idea into structured research, product scope, technical documentation and release-planning stages.
- Owned a Tavily-enabled research workflow that gathers current market context and supporting evidence from live web sources.
- Generated competitor analysis, expected product workflows and SWOT analysis to establish the opportunity and product direction.
- Transformed research into MVP feature hierarchies, user stories, sub-features, expected behavior and delivery requirements.
- Orchestrated PRDs, architecture flowcharts, feature mind maps and phased release plans; persisted state in MongoDB and supported RAG retrieval.