กระทู้: Клиника ЛобняМед Трезвость. Наркологическая клиник

An evaluation set should represent the decisions the product actually makes. Mixing harmless wording differences with unsafe tool calls in one average can conceal a release blocker. An <a href="ai-software-development.net">AI evaluation framework</a> can assign each test case to a named failure mode.

Start with expected behavior, allowed variation and the condition that should fail the case, then keep retrieval, reasoning, formatting and tool execution results separate so a team can locate the regression. ai-software-development.net

A production AI testing strategy also needs fixed comparison data for model or prompt changes. Human review is useful for disputed cases, but reviewers need the same rubric. Otherwise the evaluation measures reviewer preference rather than product behavior.

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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="ai-software-development.net">AI agent development scope</a> should identify which state changes the next action and which actions remain forbidden.

Use 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.