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Post 1: Multi-Agent Budget Control for CrewAI, AutoGen, and OpenAI Agents SDK - Covers delegation chains (serial, recursive depth) vs fan-out (parallel) - Framework-by-framework gap analysis showing no built-in cost controls - Hierarchical budget allocation pattern with diminishing sub-budgets - Code examples for CrewAI, AutoGen, and OpenAI Agents SDK - 6 cross-links to existing posts Post 2: AI Agent Unit Economics: Cost Per Conversation, Cost Per User, Margin Analysis - Translates token costs to business metrics (cost/conversation, cost/user) - Shows how heavy-tail variance destroys margin predictions - Demonstrates how budget enforcement bounds variance to protect margins - Unit economics dashboard with 4 key metrics - 7 cross-links to existing posts Both posts fill major SEO gaps (CrewAI, AutoGen, unit economics = 0 prior mentions) and include positioning terms (runtime authority, bounded exposure, reserve-commit). https://claude.ai/code/session_01CnvS6DLuYwRTjHdDYsnebk
Post 1 (multi-agent): - Add cost column to opening table (was showing call multiplier only, but cost goes from $3.50 to $89 due to context growth) - Add sentence explaining non-linear cost per call - Fix AutoGen code: replace broken handler that was created but never used with proper ConversableAgent callback pattern - Add note that production topics cost more than dev test set - Tighten redundant sentence Post 2 (unit economics): - Fix P90/P99 reference: was citing $18.00 P99 from code review row, but paragraph is about support copilot ($3.80 P99) - Add context note before CV table so readers know it's a generic illustration separate from the opening scenario's $11.50 avg https://claude.ai/code/session_01CnvS6DLuYwRTjHdDYsnebk
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Post 1: Multi-Agent Budget Control for CrewAI, AutoGen, and OpenAI Agents SDK
Post 2: AI Agent Unit Economics — Cost Per Conversation, Cost Per User, Margin Analysis