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🧠 Cortex Command Guide
💬 Natural Language (Recommended)
Just talk to Cortex naturally - it will convert to proper commands!
📰 News & Research
"Check Google News for AI stories"
→ Cortex converts to web request + routes to news-capable AI
"Get latest tech headlines from TechCrunch"
→ Cortex fetches and summarizes headlines
"What's happening with Tesla stock today?"
→ Cortex requests financial data and analysis
💾 Data & Memory
"Remember that I prefer morning workouts"
→ Cortex stores personal preference data
"Show me my exercise history from this month"
→ Cortex queries your fitness data
"Track this meeting: discussed project timeline"
→ Cortex logs meeting notes
🤖 AI Management
"Ask Bob to analyze this data"
→ Cortex routes directly to Bob AI
"Get creative input from multiple AIs"
→ Cortex routes to creative-focused AIs
"Only send this to AIs that know finance"
→ Cortex intelligently selects relevant AIs
⚡ Advanced Commands (Power Users)
Direct system commands for precise control - mix with natural language!
🔍 Inline Data Queries (~{...}~)
My workout progress: ~{SELECT COUNT(*) FROM lim_exercises WHERE date >= '2025-01-01'}~ sessions this year
→ Substitutes query result directly in message
Based on ~{SELECT AVG(duration) FROM lim_workouts WHERE date >= DATE_SUB(CURDATE(), INTERVAL 30 DAY)}~ minutes average, I need advice
→ Real-time data integration in conversation
~{SELECT stock_price FROM market_data WHERE symbol='AAPL' ORDER BY date DESC LIMIT 1}~
→ Get latest Apple stock price inline
💾 Permanent Data Storage (~<...>~)
~<INSERT INTO lim_notes (note, date) VALUES ('Important meeting with client X', CURDATE())>~
→ Stores data permanently, continues conversation
~<INSERT INTO lim_workouts (exercise, duration, date) VALUES ('Running', 45, CURDATE())>~
→ Log workout automatically
~<UPDATE lim_goals SET status='completed' WHERE goal_name='Q1 targets'>~
→ Update goal status
🌐 Web Intelligence (~{WEB_REQUEST...}~)
Latest news: ~{WEB_REQUEST: https://news.google.com, mode: headlines}~
→ Fetches and summarizes current headlines
~{WEB_REQUEST: https://finance.yahoo.com/quote/TSLA, mode: financial_data}~
→ Get Tesla financial data
Research: ~{WEB_REQUEST: https://techcrunch.com, mode: articles}~
→ Summarize latest tech articles
📊 Quick Data Patterns
~{SELECT exercise, COUNT(*) as frequency FROM lim_workouts GROUP BY exercise ORDER BY frequency DESC}~
→ Exercise frequency analysis
~{SELECT DATE(created) as day, COUNT(*) as tasks FROM lim_tasks WHERE created >= DATE_SUB(CURDATE(), INTERVAL 7 DAY) GROUP BY day}~
→ Weekly task creation pattern
🔗 Command Combinations
I just completed a 5K run ~<INSERT INTO lim_workouts (exercise, duration) VALUES ('5K Run', 32)>~. My average this month is ~{SELECT AVG(duration) FROM lim_workouts WHERE exercise LIKE '%Run%' AND date >= DATE_SUB(CURDATE(), INTERVAL 30 DAY)}~ minutes. Any thoughts?
→ Store data + query data + ask for analysis
🎯 Command Format Reference
Command Types
~{...}~ = Inline Queries
Executes SQL and substitutes result directly in message
~<...>~ = Data Storage
Executes INSERT/UPDATE and continues conversation
~{WEB_REQUEST: url, mode: type}~ = Web Intelligence
Fetches and processes web content (uses API credits)
🔒 Security Notes
✅ Allowed: SELECT, INSERT, UPDATE
Safe operations for data access and storage
❌ Blocked: DROP, DELETE, TRUNCATE, ALTER
Dangerous operations are automatically rejected
🛡️ AI Data Isolation: Each AI's data is prefixed with their name
AIs can only access their own data + shared tables
💡 Pro Tips
- Cortex is Smart: Use natural language first - it understands context and intent
- Be Specific: "Get Tesla news from reliable sources" vs "Get news"
- Name AIs: "Ask Bob to..." routes directly to that AI
- Data Privacy: Your data is stored with your AI name prefix for security
- Web Costs: Web requests use API credits, so be judicious
- Command Mixing: You can use natural language AND technical commands together
🚀 Sample Advanced Searches
Market Research: "Check Apple stock price and get recent news about iPhone sales from major tech sites"
Competitive Analysis: "Compare recent AI announcements from Google, Microsoft, and OpenAI"
Personal Analytics: "Show my productivity patterns from my logged data and suggest improvements"
Research Synthesis: "Gather climate change data from multiple sources and have our analytical AIs debate the findings"
Creative Collaboration: "I need creative input on this marketing campaign - involve our most creative AIs"
🔧 Debug & Testing Commands
For system testing and conversation analysis
🔍 Cortex Action Tags (For AI Use)
~<ECHO_TO_AI entity="NEXUS" message="Please elaborate on your analysis">~
→ Cortex sends feedback directly to specified AI
~<SQL>SELECT COUNT(*) FROM matrix_communications WHERE conversation_id = 'current'~
→ Cortex executes safe database query
📊 Debug Links (Click to Test)
🔗 Open conversationlog_OpenAI (Current Conversation)
→ View current conversation in OpenAI format
🔗 Open conversationlog_OpenAI with Debug Mode
→ View with processing logs & Cortex activity
🔗 View AI Bootstrap Configuration
→ See how AIs are configured for this conversation
🔗 View All Available Entities
→ See all AIs registered in the system
🧪 Test Patterns
~<ECHO_TO_AI entity="AXIOM" message="Test message for debugging">~ Testing echo functionality
→ Test action tag processing
Debug: ~{SELECT entity_name, COUNT(*) as message_count FROM matrix_communications WHERE conversation_id = '{current_conversation}' GROUP BY entity_name}~
→ Check message counts per AI in current conversation
Status check: ~{SELECT response_round, COUNT(*) FROM matrix_communications WHERE conversation_id = '{current_conversation}' GROUP BY response_round ORDER BY response_round DESC LIMIT 5}~
→ View recent response round activity
📋 Quick Copy Commands
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