Overview

Sonny is a multi-agent AI orchestrator that demonstrates how specialized agents can collaborate to provide comprehensive biotech analysis. Unlike single-agent systems, Sonny orchestrates 5 expert agents—each powered by different AI models—to deliver nuanced, multi-dimensional insights.

The Problem

Biotech due diligence requires expertise across multiple domains:

• Clinical/scientific evaluation (data analysis, trial design)
• Patent landscape assessment (IP protection, freedom to operate)
• Financial modeling (valuations, burn rates, market sizing)
• Market research (competitive positioning, TAM analysis)
• Regulatory strategy (FDA pathways, approval timelines)

Traditional approach: Hire consultants in each domain, wait weeks for reports, manually synthesize insights.

Single-agent AI approach: One model tries to be an expert in everything (usually fails at nuance).

Sonny's approach: Specialized agents with domain expertise collaborate in real-time under Sonny's orchestration.

The Multi-Agent System

5 Specialized Agents

1. Data Analyst Agent (Claude Sonnet 4)

Expertise: Clinical data analysis, statistical interpretation, trial design

• Evaluates clinical trial endpoints and statistical significance
• Assesses patient stratification and biomarker strategies
• Analyzes safety profiles and dose-response relationships

2. Patent Expert Agent (Perplexity Sonar Pro)

Expertise: IP landscape, patent analysis, freedom to operate

• Reviews patent claims and competitive IP using real-time patent database search
• Identifies potential infringement risks
• Assesses patent strength and defensibility

3. Financial Analyst Agent (Gemini 2.0 Flash)

Expertise: Financial modeling, valuation, market sizing

• Builds revenue projections and burn rate models
• Conducts comparable company analysis
• Estimates market opportunity and TAM

4. Market Research Agent (Perplexity Sonar Pro)

Expertise: Competitive intelligence, market dynamics

• Real-time web search for latest company updates
• Competitive landscape analysis
• Market trends and positioning assessment

5. Regulatory Expert Agent (Claude Sonnet 4)

Expertise: FDA pathways, regulatory strategy

• Maps development timelines and approval routes
• Identifies regulatory risks and requirements
• Assesses regulatory precedents

How They Collaborate

1. Orchestrated Workflow

• Agents work in parallel on their specialized domains
• Each agent has access to uploaded documents and company data
• Sonny synthesizes results into a unified analysis

2. Inter-Agent Communication

• Agents can ask clarifying questions to each other
• Cross-domain insights enhance individual analyses
• Sonny's synthesis phase integrates all perspectives

3. Real-Time Streaming

• Watch agents "think" and analyze in real-time
• See intermediate progress and reasoning
• Interactive follow-up questions with individual agents

Key Features

🎯 Scenario-Based Analysis

Pre-configured scenarios demonstrate real biotech use cases:

• Licensing Deal Evaluation: Should we in-license this antibody platform?
• M&A Due Diligence: Is this acquisition target worth $500M?
• Platform Technology Assessment: Does this AI drug discovery platform work?

🔄 Flexible Agent Selection

Choose which agents to activate:

• Run all 5 for comprehensive analysis
• Select specific agents for targeted questions
• Customize agent mix based on question type

📊 Multi-Model Architecture

Different AI models for different strengths:

• Claude Sonnet 4: Deep reasoning, technical analysis
• Gemini 2.0 Flash: Fast financial modeling, data processing
• Perplexity Sonar Pro: Real-time web search, current information

💬 Interactive Follow-Up

After analysis completes:

• Ask follow-up questions to individual agents
• Dive deeper into specific findings
• Refine analysis based on new information

Technical Architecture

Orchestration Engine

Sonny's smart agent coordination:

• Parallel execution for speed
• Dependency management (e.g., market research feeds into financial model)
• Error handling and retry logic
• Cost tracking across multiple API calls

Streaming SSE Protocol

Real-time updates:

Event: agent_start → Agent begins work
Event: agent_thinking → Progress updates
Event: agent_response → Analysis complete
Event: synthesis_start → Sonny begins integration
Event: complete → Final report ready

Document Processing

Multi-format support:

• PDF extraction (10-Ks, research papers, patents)
• Excel/CSV data (clinical results, financials)
• Image analysis (charts, diagrams)
• Structured metadata extraction

Use Cases

1. Investment Due Diligence

Scenario: Evaluating a biotech acquisition target

• Financial agent models revenue projections
• Patent agent assesses IP portfolio value
• Clinical agent reviews pipeline strength
• Regulatory agent maps approval timelines
• Market agent analyzes competitive position

Output: Sonny synthesizes all insights into an investment recommendation with risk-adjusted valuation

2. Licensing Deal Evaluation

Scenario: In-licensing decision for antibody platform

• Patent agent reviews IP landscape
• Clinical agent evaluates proof-of-concept data
• Financial agent models economics of deal structure
• Market agent sizes addressable market
• Regulatory agent identifies development path

Output: Sonny provides go/no-go recommendation with deal terms

3. Competitive Intelligence

Scenario: Monitoring competitor pipeline developments

• Market agent tracks latest updates and news
• Clinical agent analyzes trial results
• Patent agent monitors new filings
• Financial agent models market share impact
• Regulatory agent predicts approval timelines

Output: Sonny delivers strategic positioning recommendations

Why Multi-Agent Beats Single Agent

Example: For financial modeling, Gemini 2.0 Flash is 3x faster and 70% cheaper than Claude Sonnet 4, while maintaining high accuracy. For patent analysis, Claude Sonnet 4's reasoning is worth the premium.

Technical Implementation

Agent Specialization

Each agent has:

• Custom system prompts tailored to domain expertise
• Specific tools (e.g., Market agent has web search, Clinical agent has stat tests)
• Domain knowledge bases (e.g., FDA guidance docs for Regulatory agent)
• Evaluation criteria specific to their field

Synthesis Algorithm

How Sonny combines insights:

1. Parallel Collection: Gather all agent outputs
2. Consistency Check: Identify conflicting findings
3. Integration: Synthesize cross-domain insights
4. Prioritization: Rank findings by impact and confidence
5. Narrative Generation: Create coherent final report

Quality Assurance

Built-in safeguards:

• Agents cite sources and show reasoning
• Cross-validation between agent findings
• Confidence scores for each conclusion
• Human review checkpoints for critical decisions

Performance Metrics

Speed

• 5-agent analysis: 2-3 minutes (vs 2-3 weeks manual)
• Parallel execution: 80% faster than sequential
• Streaming updates: Real-time progress visibility

Cost Efficiency

• Hybrid model approach: 60% cost reduction vs all-Claude
• Per-analysis cost: $0.40-$1.20 depending on complexity
• Document processing: Optimized for large file handling

Accuracy

• Citation accuracy: 95%+ (agents show source links)
• Cross-validation rate: 92% agreement on key findings
• User satisfaction: High-quality first drafts requiring minimal editing

Future Roadmap

Phase 1: Enhanced Collaboration ✓

• Inter-agent questioning (completed)
• Interactive follow-up (completed)
• Real-time streaming (completed)

Phase 2: Advanced Features (In Progress)

• Memory across sessions
• Learning from user feedback
• Custom agent training on proprietary data

Phase 3: Enterprise Features (Planned)

• Multi-user collaboration
• Audit trails and compliance
• API access for integration

Try It Yourself

Getting Started:

1. Choose a pre-configured scenario or enter your own query
2. Select which agents to activate (or use all 5)
3. Upload supporting documents (optional)
4. Watch Sonny orchestrate agents in real-time
5. Get comprehensive report in 2-3 minutes
6. Ask follow-up questions to individual agents

Best Practices:

• Provide context in your query (company name, specific question)
• Upload relevant documents for deeper analysis
• Use scenario templates for common use cases
• Ask follow-up questions to refine insights

Sonny demonstrates my ability to architect complex AI systems, orchestrate multi-model workflows, and build production-quality tools that solve real business problems. It combines technical execution (agent design, SSE streaming, document processing), domain expertise (biotech due diligence), and product thinking (iterative UX, cost optimization).