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.

Clarification, supervisor, research and report-generation agent graph

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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