Rodrigo Rodriguez (Pragmatismo)
037db5c381
- Add comprehensive documentation in botbook/ with 12 chapters - Add botapp/ Tauri desktop application - Add botdevice/ IoT device support - Add botlib/ shared library crate - Add botmodels/ Python ML models service - Add botplugin/ browser extension - Add botserver/ reorganized server code - Add bottemplates/ bot templates - Add bottest/ integration tests - Add botui/ web UI server - Add CI/CD workflows in .forgejo/workflows/ - Add AGENTS.md and PROD.md documentation - Add dependency management scripts (DEPENDENCIES.sh/ps1) - Remove legacy src/ structure and migrations - Clean up temporary and backup files
37 lines
1.1 KiB
QBasic
37 lines
1.1 KiB
QBasic
' Content Moderation Workflow with AI
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USE KB "community-guidelines"
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USE TOOL "image-analysis"
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USE TOOL "text-sentiment"
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ORCHESTRATE WORKFLOW "content-moderation"
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STEP 1: BOT "content-analyzer" "scan content"
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' Multi-modal content analysis
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STEP 2: BOT "policy-checker" "verify guidelines"
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' Check against community standards
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IF toxicity_score > 0.7 OR contains_explicit_content = true THEN
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STEP 3: BOT "auto-moderator" "remove content"
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PUBLISH EVENT "content_removed"
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ELSE IF toxicity_score > 0.4 THEN
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STEP 4: HUMAN APPROVAL FROM "moderator@platform.com"
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TIMEOUT 3600 ' 1 hour for borderline content
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ON TIMEOUT: APPROVE WITH WARNING
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END IF
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' Enhanced LLM for context understanding
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result = LLM "Analyze content context and cultural sensitivity"
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WITH OPTIMIZE FOR "quality"
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WITH MAX_COST 0.05
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IF result.contains("cultural_sensitivity_issue") THEN
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STEP 5: BOT "cultural-advisor" "review context"
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END IF
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' Learn from moderation decisions
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BOT SHARE MEMORY "moderation_patterns" WITH "content-analyzer-v2"
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PUBLISH EVENT "moderation_complete"
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TALK "Content moderation completed"
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