5 items across 1 sections
The hands-on launch execution pack for ScamCheck: daily/Hindi/Shorts/LinkedIn/X publishing queues for priority scams (UPI, WhatsApp, Telegram-investment, fake-KYC, fake-job, phishing), ready-to-paste distribution copy for every channel, Discover candidates + headlines, GEO/AI-visibility tracking, monitoring helpers, cost discipline, and the weekly optimization loop. Deterministic, zero-AI-cost.
The launch runbook for the ScamCheck growth engine: static-first deploy sequence, GSC submission + indexing-acceleration checklist, Discover activation checks, traffic + analytics activation, cost-protection settings, launch monitoring + early-warning signals, and a launch-readiness report. Keeps Vertex capped and infrastructure low-cost.
The launch-day operations playbook for the ScamCheck growth engine: exact env vars, validated config assumptions, static-first deployment order, Vercel/Firebase/GSC checklists, rollback steps, launch validation commands, a first-week operational playbook, the first 30-page publishing schedule, backlink outreach targets, first-week SEO/GEO monitoring, and Day 1/3/7/30 checklists.
A fill-in monitoring + optimization workbook for the deployed ScamCheck growth engine: what to track for indexing, Discover, SEO/GEO, content, distribution, monetization, and cost — where to read it, healthy thresholds, and a weekly optimization loop seeded with computed publish/backlink/conversion priorities. Guardrails keep it low-cost and stable.
Detection invariants, signal taxonomy, and monitoring doctrine for the A Square Solutions ecosystem. Extracted from real production failure history across TrustSeal, ScamCheck, AI Execution Lab, and WordPress. Documents how 15 historical failures were detected, what signals were missing, and what detection rules prevent the same classes from being discovered by user reports instead of operators.