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.
Build a multi-agent system using Google ADK with Gemini 3 Flash and Claude 4 Opus to simulate a GenAI product launch strategy, integrating tools for market analysis, content generation, and user feedback.
How work is evaluated
The evaluation will assess the completeness, coherence, and strategic depth of the agent-generated product launch plan, as well as the effective use of Google ADK and integrated tools.
Challenge datasets
Public datasets, plus the private datasets you have access to.
How submissions are scored
These dimensions define what the evaluator checks 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.
Reference links and supporting material
Sample data for 2 tasks
Challenge setup
The evaluation will assess the completeness, coherence, and strategic depth of the agent-generated product launch plan, as well as the effective use of Google ADK and integrated tools.
Challenge input
{'market_niche': 'e.g., AI-powered personalized fitness coach', 'target_audience': 'e.g., millennial fitness enthusiasts'}
Google AI model provider
Google ADK
Agent Development Kit for
Claude 4 Opus
Policy Serving in the agent workflow.
Evaluated output
{'product_name': 'string', 'core_features': ['string'], 'target_market_analysis': 'string', 'marketing_slogan': 'string', 'launch_plan_summary': 's...
- Checks if all required fields in 'Generate Product Strategy Document' are present.
- Verifies that interaction logs between at least 3 distinct agents (e.g., Strategist, Market Analyst, Creati...
- Subjective assessment (0-10) of how well the product strategy elements align. • target: 8 • range: 0-10
- Strategic Coherence Score target: 8
- 2 public reference cases
- Python execution harness
Summary shows the first task, up to three tools, and up to three evidence items. Open the technical recipe to view all configured items.
View technical recipe
Configured tools
- Google · Optional
- Google ADK · Optional
- Claude 4 Opus · Required
Evaluation contract
- Document Completeness · Weight 1
- Agent Collaboration Log · Weight 1
- Strategic Coherence Score · Weight 1
- Creative Content Quality (Claude 4 Opus) · Weight 1
Metrics
- Strategic Coherence Score · Target 8
- Creative Content Quality (Claude 4 Opus) · Target 7
Reference cases
- 2 public reference cases
Workflow tasks
- Task 1
Input: {'market_niche': 'e.g., AI-powered personalized fitness coach', 'target_audience': 'e.g., millennial fitness enthusiasts'}
Output: {'product_name': 'string', 'core_features': ['string'], 'target_market_analysis': 'string', 'marketing_slogan': 'string', 'launch_plan_summary': 'string'}
Execution harness: Python
- Task 2
Input: {'user_feedback_prompt': 'string'}
Output: {'feedback_summary': 'string', 'actionable_insights': ['string']}
Execution harness: Python
Recipe freeze marker
No recipe freeze time is recorded.