Project: Product Designer, Agent Orchestrator
Role: Product Designer, AI Workflow Coordinator
Years: 2024–Present (Ongoing)
Sector: AI Consulting, Strategic Enablement
Technology: AI multi-agent systems, Structured intake interfaces, Automated research workflows, Project requirement documentation
Introduction
GrowAgent Strategy Generator is an ongoing project designed to bridge the gap between raw AI ambitions and practical implementation. It automates the conversion of detailed project intake data into research-driven, actionable AI strategies and ready-to-code project requirement documents (PRDs), accelerating AI adoption in organizations by reducing manual effort and ambiguity.
The Challenge
Organizations eager to leverage AI often struggle with:
- Unstructured or vague project ideas that lack clear definitions.
- Time-consuming and inconsistent manual research to identify best-fit AI solutions.
- Difficulty producing comprehensive, actionable plans that developers and stakeholders can execute.
- Bottlenecks in progressing from ideation to project approval and initiation.
GrowAgent aims to eliminate these hurdles by introducing structured workflows supported by AI automation.
The Solution
GrowAgent employs a coordinated multi-agent AI workflow that synthesizes structured intake inputs into comprehensive AI strategies, featuring:
Structured Intake Wizard
- Interactive forms guide users to articulate detailed project requirements, context, and goals.
- Supports transparency by allowing review and adjustment at each step.
Multi-Agent Research and Analysis
- AI agents conduct focused sector and context-specific research, competitive analysis, and best-practice gathering.
- Synthesizes findings into actionable strategic recommendations.
Ready-to-Code PRD Generation
- Produces clear, developer-friendly project requirement documents formatted for platforms like GitHub.
- Exports integration-ready documents for project management tools such as Notion enabling seamless handoffs.
The Approach
- Designed for flexibility to support diverse technical and non-technical user needs.
- Emphasizes traceability and user control throughout the intake and strategy generation process.
- Iterative development with input from consulting teams and end users to refine workflows and outputs.
Impact (Anticipated)
Although still in active development, GrowAgent is expected to:
- Significantly shorten the time from AI concept to approved project plan.
- Reduce risk through evidence-backed strategy recommendations.
- Empower consulting teams to scale delivery with repeatable, automated processes.
- Increase confidence and clarity for clients embarking on AI initiatives.
Reflections & Next Steps
GrowAgent epitomizes how structured intake combined with multi-agent AI orchestration can transform ambiguous AI ambitions into concrete, executable plans. The project’s ongoing development will focus on expanding agent capabilities, improving user experience, and increasing integration with project management ecosystems.
