How authorsauravkushwaha/saurav-empire works
This repository is a collection of Python agents for an apparently autonomous publishing and marketing operation, plus business-support workflows. The likely operating pattern is an operator or scheduler invoking individual agents that read configured business data, produce analyses or campaign assets, and save results. Sampled code confirms content generation, branded Instagram asset creation, experiment review, and contract review, supported by shared file I/O and an AI router. Other capabilities are represented by their agent modules; their internal wiring is uncertain because the README is empty and those sources were not sampled.
Main entry points: ai_router.py AI router · content_gen.py Content generation · experiment_review.py Experiment review · contract_review.py Contract review
Components 30
Growth intelligence
- Market scan
agents/market_scan.py - Analytics dashboard
agents/analytics_dashboard.py - Weekly report
agents/weekly_report.py - Monthly optimization
agents/monthly_optimization.py - Experiment review
agents/experiment_review.py
Content and publishing
- Content generation
agents/content_gen.py - Visual content
agents/visual_content.py - Instagram assets
agents/instagram_poster.py - Image uploader
agents/image_uploader.py - Content calendar
agents/content_calendar.py - Publishing operations
agents/publishing_ops.py
Audience engagement
- Social media
agents/social_media.py - Instagram posting
agents/instagram_post.py - Manual post helper
agents/manual_post_helper.py - Email automation
agents/email_automation.py - Email marketing
agents/email_marketing.py - Lead enrichment
agents/lead_enrich.py - Customer support
agents/customer_support.py
Business operations
- Affiliate management
agents/affiliate_management.py - Finance reconciliation
agents/finance_reconcile.py - Contract review
agents/contract_review.py - Risk compliance
agents/risk_compliance.py - Backup recovery
agents/backup_recovery.py
Shared services
- AI router
agents/utils/ai_router.py - Configuration and JSON I/O
agents/utils/github_io.py - Policy validators
agents/utils/validators.py
Other components
- Operator / scheduler
- Groq API
- Ollama service
- Repository data files
Connections 17
- Operator / scheduler → Market scan: invokes
- Operator / scheduler → Content generation: invokes
- Operator / scheduler → Instagram assets: invokes
- Operator / scheduler → Publishing operations: invokes
- Operator / scheduler → Experiment review: invokes
- Operator / scheduler → Contract review: invokes
- Content generation → Configuration and JSON I/O: loads catalog
- Content generation → Repository data files: reads trends
- Content generation → AI router: requests generation
- Experiment review → Repository data files: reads and writes experiments
- Experiment review → AI router: requests analysis
- Contract review → Configuration and JSON I/O: loads and saves
- Contract review → AI router: requests analysis
- AI router → Groq API: calls model
- AI router → Ollama service: calls model
- Configuration and JSON I/O → Repository data files: reads and writes
- Policy validators → Repository data files: reads policy