Grok Bot Rocks is hitting 10,000 public bots. The survivors all follow one pattern: don't waste expensive LLM calls on trivial classification tasks.
Think: "Is this email a receipt?" or "Did the user say yes/no?" These don't need GPT-4 level reasoning. Route them to a small local model instead.
Result: Faster response times + way lower API costs. The trick is knowing when to use the big guns vs when a tiny classifier does the job.
Smart routing = sustainable bot economics. Most devs over-engineer this and burn cash on overkill inference.
Think: "Is this email a receipt?" or "Did the user say yes/no?" These don't need GPT-4 level reasoning. Route them to a small local model instead.
Result: Faster response times + way lower API costs. The trick is knowing when to use the big guns vs when a tiny classifier does the job.
Smart routing = sustainable bot economics. Most devs over-engineer this and burn cash on overkill inference.