AI Agents
From a Project Brief to a Reviewable Implementation Plan
A LangGraph planning assistant clarifies a project brief, researches subtasks and produces a structured Markdown plan.

The problem
The project needed to turn an incomplete idea into a plan a developer could inspect and refine. Jumping directly from a short brief to a large answer could conceal missing requirements and unsupported assumptions.
What I built
A clarification stage for missing requirements.
A supervisor and research-agent workflow for breaking down the task.
A report-generation stage that assembles a structured Markdown plan.
Modular agent code, configuration and example generated outputs.
The project separates clarification, research and report generation. The architecture diagram shows that workflow rather than an n8n data-extraction system.
The outcome
The assistant produces planning material that can be reviewed before implementation. It supports project scoping and task preparation; it does not guarantee correct estimates or replace technical review. The repository provides implementation and examples, not a measured improvement in delivery speed or planning accuracy.
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