mirror of
https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git
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CI Fix:
All 8 Tier-1 API routes now use fully lazy imports — no module-level
imports of app.database, app.services, or app.models. Every import
happens inside the function body. This prevents pytest collection
failure (exit code 4) caused by import chain side effects during
test discovery.
Pattern: _get_db() async generator wraps app.database.get_db lazily.
Service/model imports are inside each route handler function.
Revenue Activation System (3 phases):
revenue-activation/FIRST_3_CLIENTS_PLAN.md
— ICP definition, outreach scripts (WhatsApp/LinkedIn/Email),
demo strategy, pricing (15K-50K SAR pilot), closing playbook,
objection handling, referral scripts, pipeline KPIs
revenue-activation/deployment/LIVE_DEPLOYMENT_GUIDE.md
— Step-by-step client installation in 48h, data import,
training agenda, pilot monitoring, post-pilot conversion
revenue-activation/AUTOMATED_REVENUE_ENGINE.md
— Self-generating pipeline: outreach→demo→pilot→case study→referral,
auto-sequences, AI response classification, upsell triggers,
90-day revenue targets (100K+ SAR MRR)
revenue-activation/outreach/whatsapp-sequences.json
— 3 ready-to-use sequences: cold B2B, warm referral, post-pilot convert
revenue-activation/demo/seed_demo_tenant.py
— Seeds demo tenant with 15 leads, 8 deals, 3 approvals with SLA,
4 connectors, 1 evidence pack for executive simulation demos
https://claude.ai/code/session_01W1rJthWDkasijTdXCfxVHs
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