The original title is "How to Create an AI Agent: A Production Walkthrough" which is 8 words but contains a colon which is not allowed.

Short summary

Author shares production AI agent patterns learned from a $40 token-burn failure at BizFlowAI. Key insights: write job specs before building (clarifies scope and success criteria), design tools with clear names and idempotent operations to prevent model confusion and duplicate execution, and implement three memory layers—scratchpad (current run), episodic (past 30-90 days), semantic (facts via pgvector+BM25)—to prevent repeated mistakes.

• •Write detailed job specs before building agents—defines what the agent owns, constraints, success criteria, and failure signals; if it needs >5 tools or >3 decision branches, it's two agents not one
• •Design tools like a public API: single responsibility, small structured results (return 10 items + next_cursor, not 200), clear parameter names, and idempotency keys to survive retries without duplicates
• •Split system prompt (stable constraints, tool inventory, output format) from runtime context (rebuilt each turn with task state, tool history, budget left, memory pulls)—and always tell agents their remaining token/call budget
• •Implement three memory types: scratchpad (in-context per turn), episodic (Postgres table, past runs/outcomes, 30-90 day TTL) to prevent Tuesday mistakes, semantic (pgvector+BM25 hybrid via RRF) for facts the agent should know

Generated with AI, which can make mistakes.