Developed Kognia AI, a sophisticated multi-agent system designed to eliminate the “Cognitive Bottleneck” in brand strategy. Kognia moves beyond simple chatbots by deploying a specialized team of autonomous agents that collaborate to transform raw market data into high-stakes strategic insights.

Key Technical Highlights:

• Architecture: Implemented a Hierarchical Orchestration Pattern using the Google Agent Development Kit (ADK) to prevent context window overload and minimize hallucinations.
• Orchestration: Engineered the kognia_nexus_agent to act as a central project manager, dynamically routing tasks to specialist agents based on user intent.
• Grounding & Accuracy: Integrated Google Search Grounding and deep scraping tools to ensure all strategic outputs are based on real-time market facts rather than static training data.
• Synthetic Focus Groups: Developed a Conversation Simulator Agent that allows users to “interview” data by roleplaying as specific consumer personas, providing a novel way to stress-test brand messaging.

The Specialist Agent Team:

• Market Intel Analyst: Automates deep-web research and trend discovery.
• SWOT Evaluator: Applies rigid SWOT frameworks to identify opportunities and threats.
• Report Architect & Executive Briefer: Synthesizes complex multi-agent outputs into client-ready documents and high-impact leadership summaries.

Impact:

• Reduced time taking for manual research and strategic insight generation from days to < 5 minutes.

Tech Stack:
Python | Google Gemini | Google ADK | Google Search Grounding | Generative AI | Multi-Agent Systems (MAS)