Why Your AI Bot is So Expensive (And How to Fix It in 10 Minutes)

Why Your AI Bot is So Expensive (And How to Fix It in 10 Minutes)

πŸ’Έ π—›π—Όπ˜„ π—Ίπ˜‚π—°π—΅ π—Άπ˜€ π˜π—΅π—Άπ˜€ π—”π—œ π—―π—Όπ˜ 𝗴𝗼𝗢𝗻𝗴 π˜π—Ό π—°π—Όπ˜€π˜ π˜‚π˜€? This is the most common question we hear a lot. And honestly… it’s a valid concern. If you’re sending raw OCR text to OpenAI, you’re burning your budget. In Part 3 of our AI & Agents Series, I’m sharing 5 senior-level strategies to reduce token consumption by up to 80% without losing accuracy. πŸš€ What you’ll learn: The Pre-Filter Strategy: Using Regex and Substring to "trim the fat" before calling the API. Model Selection: When to use GPT-4o-mini vs. Pro (The 80/20 Rule). Muzzling Chatty AI: Using the Max Tokens property to stop expensive hallucinations. Success Caching: Preventing double-billing during REFramework retries. System Prompt Optimization: Saving thousands of tokens with XML structure.