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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.

Challenge brief

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.

Datasets

Shared data for this challenge

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Evaluation rubric

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.

Max Score: 4
Dimensions
4 scoring checks
Binary
4 pass or fail dimensions
Ordinal
0 scaled dimensions
Dimension 1document_completeness

Document Completeness

Checks if all required fields in 'Generate Product Strategy Document' are present.

binary
Weight: 1
Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Dimension 2agent_collaboration_log

Agent Collaboration Log

Verifies that interaction logs between at least 3 distinct agents (e.g., Strategist, Market Analyst, Creative Lead) are present.

binary
Weight: 1
Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Dimension 3strategic_coherence_score

Strategic Coherence Score

Subjective assessment (0-10) of how well the product strategy elements align. • target: 8 • range: 0-10

binary
Weight: 1
Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Dimension 4creative_content_quality_claude_4_opus

Creative Content Quality (Claude 4 Opus)

LLM-based evaluation (0-10) of marketing slogan and description originality and relevance. • target: 7 • range: 0-10

binary
Weight: 1
Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Learning goals

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.

Start from your terminal
$npx -y @versalist/cli start genai-unit-launch-strategy-with-google-adk-agents-and-claude-4-opus

[ok] Wrote CHALLENGE.md

[ok] Wrote .versalist.json

[ok] Wrote eval/examples.json

Requires VERSALIST_API_KEY. Works with any MCP-aware editor.

Docs
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Challenge at a glance
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Vera

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Timeline and host

Operating window

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Tool Space Recipe

Draft
Action Space
GoogleGoogle AI model provider
Google ADKAgent Development Kit for
Policy Serving
Claude 4 Opus
required
Evaluation
Rubric: 4 dimensions
·Document Completeness(1%)
·Agent Collaboration Log(1%)
·Strategic Coherence Score(1%)
·Creative Content Quality (Claude 4 Opus)(1%)
Gold items: 2 (2 public)

Frequently Asked Questions about GenAI Unit Launch Strategy with Google ADK Agents and Claude 4 Opus