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• Comment Link Thứ sáu, 09 Tháng 10 2026 13:46 posted by AI_Engineer_Hali

  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 AI agent development scope should identify which state changes the next action and which actions remain forbidden.
  
  Use https://ai-software-development.net as the plain service reference. agentic workflow engineering is the BBCode form for related discussion. Define tool permissions 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.
• Comment Link Thứ sáu, 09 Tháng 10 2026 13:44 posted by zanaflbuy37

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• Comment Link Thứ sáu, 09 Tháng 10 2026 13:44 posted by AI_Dev_Hali

  The model license is only one part of the hosting decision. A managed API reduces infrastructure work, but it also places rate limits, data handling terms and model changes outside the application team's direct control. This hosted model planning guide can frame the initial comparison.
  
  Start with the workload, not a model leaderboard. Check whether prompts may leave the chosen environment, whether latency needs reserved capacity and whether version pinning is available. Review the provider's retention policy before sending production data, and do not assume the default fits the workload. https://ai-software-development.net
  
  A custom AI development review should also define a fallback for throttling or provider downtime. Hosted inference fits when the team accepts those dependencies in exchange for less serving infrastructure.