Agent-Native Architecture FAQs

Question 1

How does this differ from traditional tool-calling?

Accepted Answer

Traditional tool-calling involves the agent executing a pre-written complex function. Prompt-native architecture provides the agent with 'primitives' (like read/write/list) and lets the agent decide the sequence and logic to complete the task.

Question 2

When should I avoid using a prompt-native approach?

Accepted Answer

Avoid this approach for high-frequency operations, scenarios requiring 100% deterministic outputs, extreme cost-sensitivity, or systems with ultra-strict security requirements.

Question 3

What is the core principle of Agent-Native Architecture?

Accepted Answer

The core principle is to define 'what' the outcome should be in prompts, rather than 'how' to achieve it in code, allowing the agent to use its intelligence to determine the best execution path using primitive tools.

Question 4

Can agents safely modify their own code with this skill?

Accepted Answer

Yes, the architecture includes patterns for safe self-modification, such as mandatory approval gates, auto-commits for easy rollbacks, and automated health checks after changes.

Agent-Native Architecture

Key Features

Use Cases

Agent-Native Architecture

Key Features

Use Cases