GenAI Unit Launch Strategy with Google ADK Agents and Claude 4 Opus
This challenge tasks you with developing a multi-agent system using Google's Agent Development Kit (ADK) to strategize and simulate the launch of a new AI-powered product. The system will feature specialist agents leveraging large language models like Gemini 3 Flash for strategic planning and Claude 4 Opus for creative content generation. The agents will collaborate to analyze market trends, define product features, draft marketing copy, and simulate initial user interactions. The goal is to demonstrate how an orchestrated team of AI agents can accelerate early-stage product development and strategic decision-making in a dynamic AI market.
What you are building
The core problem, expected build, and operating context for this challenge.
This challenge tasks you with developing a multi-agent system using Google's Agent Development Kit (ADK) to strategize and simulate the launch of a new AI-powered product. The system will feature specialist agents leveraging large language models like Gemini 3 Flash for strategic planning and Claude 4 Opus for creative content generation. The agents will collaborate to analyze market trends, define product features, draft marketing copy, and simulate initial user interactions. The goal is to demonstrate how an orchestrated team of AI agents can accelerate early-stage product development and strategic decision-making in a dynamic AI market.
Shared data for this challenge
Review public datasets and any private uploads tied to your build.
How submissions are scored
These dimensions define what the evaluator checks, how much each dimension matters, and which criteria separate a passable run from a strong one.
Document Completeness
Checks if all required fields in 'Generate Product Strategy Document' are present.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
Agent Collaboration Log
Verifies that interaction logs between at least 3 distinct agents (e.g., Strategist, Market Analyst, Creative Lead) are present.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
Strategic Coherence Score
Subjective assessment (0-10) of how well the product strategy elements align. • target: 8 • range: 0-10
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
Creative Content Quality (Claude 4 Opus)
LLM-based evaluation (0-10) of marketing slogan and description originality and relevance. • target: 7 • range: 0-10
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
Master Google ADK for defining agents, tools, and orchestrating complex workflows with Gemini 3 Flash.
Implement specialized agents for market research (Gemini 3 Flash), product definition (Gemini 3 Flash), and marketing content creation (Claude 4 Opus) using ADK's capabilities.
Design tool integrations for agents to interact with external APIs for trend analysis (simulated) and creative asset generation, leveraging Momentic for real-time feedback.
Build collaborative agent communication patterns within Google ADK to facilitate a coherent product strategy development process.
Leverage BoTorch for optimizing agent decision-making or resource allocation in simulated launch scenarios.
Implement a voice-driven feedback loop for simulated user testing using Fixie for natural language interaction with the agent system.
[ok] Wrote CHALLENGE.md
[ok] Wrote .versalist.json
[ok] Wrote eval/examples.json
Requires VERSALIST_API_KEY. Works with any MCP-aware editor.
DocsAI Research & Mentorship
Participation status
You haven't started this challenge yet
Operating window
Key dates and the organization behind this challenge.
Find another challenge
Jump to a random challenge when you want a fresh benchmark or a different problem space.