Roadmap Prioritization AI
See 4 architectures solve real problems: MCP → RAG → Multi-Tool → Multi-Agent
Advanced Multi-Agent System
BOFU: Production LangGraph with Router → Specialized Agents → Aggregation
1. Select Analysis Scenario
2. Monday's Prompt
3. Run Multi-Agent Workflow
MCP Tool Use Pattern
TOFU: LLM calls tools via Model Context Protocol - see real tool execution
Automation Task
User query → LLM decides tool (get_jira_issues) → Executes with params → Returns structured data → LLM formats answer
Terminal ready. Run simulation to begin.
RAG-Based Search
MOFU: Search 100+ feature requests with vector similarity
Search Query
"Search: Security Feature Requests from Enterprise"
Embed query → Search Pinecone vectors → Retrieve top 10 matches (similarity > 0.75) → LLM synthesizes with customer citations
RAG Vector Search Network
Search Results
Run visualization to see results
Multi-Tool Orchestration
MOFU: Multiple tools working together automatically
ROI Analysis
Orchestrator calls: Jira Scraper + Mixpanel Analyzer + Revenue Tracker + Support Analyzer (parallel) → Priority Scorer (uses all results) → Report Generator (3 formats) → Alert System (notify PM)
Time to Complete
Cost per Analysis
Data Points Analyzed
Accuracy Rate
Reports per Day
Error Rate
Ready for Production Roadmap Prioritization System?
We'll build your custom system: MCP tools (TOFU) → RAG search (MOFU) → Multi-tool (MOFU) → Multi-agent (BOFU). From demos to deployment in 8 weeks. 3 hours/day → 90 seconds/day. $70K/year → $5K/year. Objective scoring, 24/7 monitoring, zero requests missed.
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