OC-201a · Module 1
Models Architecture
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Use multiple AI providers — Anthropic (Opus, Sonnet, Haiku), Google Gemini, XAI Grok, and OpenAI — each for what they're best at.
Different models excel at different tasks. Use Gemini 2.5 Flash for cheap, fast classification (like CRM contact categorization). Use Opus for complex reasoning (like the nightly business briefing). Use Grok for X/Twitter search. This multi-model approach optimizes for cost, speed, and quality across all your workflows.
Create a standardized hybrid database pattern using traditional SQL columns alongside vector columns for natural language search.
Every data store in the system uses the same hybrid pattern: SQL columns for structured queries ("show me all contacts from Company X") and vector columns for semantic search ("find articles about autonomous agents"). This standardized approach means contacts, knowledge base, video pitches, business analysis, social data, and cron logs all use the same query interface.