An AI agent should earn its control loop. If a workflow always follows the same sequence, ordinary application code is easier to test and less expensive to supervise. The <a href="https://ai-software-development.net">AI agent development scope</a> should identify which state changes the next action and which actions remain forbidden.
Use https://ai-software-development.net as the plain service reference. <a href=https://ai-software-development.net>agentic workflow engineering</a> is the BBCode form for related discussion. Define <a href="https://ai-development-services.com/">tool permissions</a> before prompts: read-only access, approval-required actions and blocked operations need separate treatment. The agent also needs a stop condition when tools fail or state becomes ambiguous. Without those boundaries, adding more autonomy expands the failure surface instead of improving the workflow.
Use Agents Only for Real Decision Loops
An AI agent should earn its control loop. If a workflow always follows the same sequence, ordinary application code is easier to test and less expensive to supervise. The <a href="https://ai-software-development.net">AI agent development scope</a> should identify which state changes the next action and which actions remain forbidden.
Use https://ai-software-development.net as the plain service reference. <a href=https://ai-software-development.net>agentic workflow engineering</a> is the BBCode form for related discussion. Define <a href="https://ai-development-services.com/">tool permissions</a> before prompts: read-only access, approval-required actions and blocked operations need separate treatment. The agent also needs a stop condition when tools fail or state becomes ambiguous. Without those boundaries, adding more autonomy expands the failure surface instead of improving the workflow.