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OpenStation: Desktop Windows, Dock & Virtual Desktops for WP Admin / 1.1.12
OpenStation: Desktop Windows, Dock & Virtual Desktops for WP Admin v1.1.12
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← All changes | includes/ai-copilot/analysis.php +5 -4 1.1.4 → 1.1.12 View file →
@@ -7,10 +7,11 @@
7 7 * - The prompt builder that converts a comment into a chat message array.
8 8 * - Meta read/write helpers so the job callback never touches meta keys
9 9 * directly; the key name lives in one place.
10 10 *
11 - * Comment analysis is the only auto-analysis the copilot performs (it feeds
12 - * the comments-window spam score). Posts, pages, and terms are not analyzed.
11 + * Nothing is analyzed automatically. Comment analysis runs on demand only,
12 + * through the `desktop-mode/analyze-comment` ability; posts, pages and terms
13 + * are not analyzed at all.
13 14 *
14 15 * Meta key: `_desktop_mode_ai_analysis` (prefixed underscore → hidden from
15 16 * the Custom Fields UI by default).
16 17 *
@@ -110,9 +111,9 @@
110 111 $user_text .= "\n\nClassification rules:\n";
111 112 $user_text .= "- `harmful = true`: the comment is hostile, insulting, or demeaning — e.g. attacks on the author's competence, aggressive rhetoric, threats, hate speech. Tone matters: an angry rant calling the article \"garbage\" is harmful even without explicit language.\n";
112 113 $user_text .= "- `spam = true`: the comment is promotional or off-topic — e.g. commercial links, ALL CAPS sales copy, \"CLICK HERE\" / \"BOOK NOW\", generic praise unrelated to the post.\n";
113 114 $user_text .= "- These are INDEPENDENT flags. A hostile but on-topic comment is harmful=true, spam=false. A promotional but politely worded comment is spam=true, harmful=false. Both can be true simultaneously.\n";
114 - $user_text .= '- The `topic` and `ai_summary` fields MUST capture the tone and sentiment so that search queries like "negative comment", "angry reader", or "spam" return the correct results.';
115 + $user_text .= '- The `topic` and `ai_summary` fields capture the tone and sentiment so that search queries like "negative comment", "angry reader", or "spam" return the correct results.';
115 116
116 117 /**
117 118 * Filters the user message sent to the provider for comment analysis.
118 119 *
@@ -123,9 +124,9 @@
123 124
124 125 return array(
125 126 array(
126 127 'role' => 'system',
127 - 'content' => 'You are a content moderation assistant for a WordPress site. Your analysis is used by a semantic search engine, so the topic label and summary must reflect the comment\'s TONE and SENTIMENT — not just its subject matter. An angry, insulting comment must be described as angry and insulting. A promotional spam comment must be described as promotional spam. A warm congratulatory message must be described as warm and positive. Accurate tone labelling is critical for search to work.',
128 + 'content' => 'You are a content moderation assistant for a WordPress site. A semantic search engine matches site owners\' queries against your topic label and summary, so describe the comment\'s tone and sentiment as well as its subject: an insulting comment reads as insulting, promotional spam as promotional spam, a congratulatory note as warm and positive.',
128 129 ),
129 130 array(
130 131 'role' => 'user',
131 132 'content' => $user_text,