AI AGENT AUTOMATIONS
Context Engineering
Beyond Prompt Engineering
Master the art of curating system prompts, tool descriptions, memory, and message history for optimal agent behavior.
"The best agents aren't built with clever prompts—they're built with thoughtfully engineered context."
Context engineering is the evolution of prompt engineering for agents. It's not just about what you write in prompts—it's about curating the optimal set of tokens across system prompts, tool descriptions, few-shot examples, conversation history, and retrieved context. Well-engineered context dramatically improves agent reliability and reduces hallucinations.
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Use Cases
Common Pitfalls
Context is more than prompts—it's everything the model sees
Hierarchical context: system → task → tool → memory layers
Keep context tight and informative, not exhaustive
Few-shot examples beat long rule lists
Test context designs with evals, not just intuition
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Frequently Asked Questions
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