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Why Shorter Instructions Win: Optimizing AI Agent Prompts for High Accuracy
Agentforce

Why Shorter Instructions Win: Optimizing AI Agent Prompts for High Accuracy

πŸ’¬ In plain words: Every word you add to an AI prompt acts as additional weight for the model to balance. Longer instructions increase the chances that the model gets distracted or ignores core directions. Salesforce explicitly confirms this principle: keeping reasoning instructions concise produces significantly more accurate results. πŸ“Œ Example: A Meridian subagent originally used eleven sentences of detailed prompt instructions and consistently misrouted requests. By shortening the instructions to four clear sentences and moving two strict constraints into code logic, the routing accuracy jumped without changing a single downstream action. Concept When an AI agent misbehaves, developer instinct is often to add more instructions. In practice, this usually makes performance worse. Every line in your system prompt increases the context size that the model must evaluate during reasoning. Overlapping or wordy instruct...