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New vendor. 15-page privacy policy. Legal review takes 2 weeks. We need to sign this week. Built GDPR scanner. Policy scored 42%. Three gaps flagged. Remediation requested before signing. THE COMPLIANCE REVIEW BOTTLENECK: Every vendor needs privacy review. Legal team backlogged. Policies written in legalese. Required elements buried in paragraphs. Signed contract. Discovered GDPR gap. Six months of remediation. THE DISCOVERY: Document extraction checks all GDPR requirements. Code calculates compliance score. Gaps identified automatically. Systematic verification. Same checklist every time. Nothing missed. THE WORKFLOW: Google Drive trigger watches policies folder → Download document → Document extraction checks data controller, DPO contact, user rights, legal bases, international transfers → Code calculates compliance score and identifies gaps → Sheets logs scan results → IF checks if not compliant → Alert Slack with specific gaps. 7 nodes. Vendor compliance automated. THE COMPLIANCE SCORING: Code checks 6 required user rights: Access, Rectification, Erasure, Portability, Objection, Withdraw Consent. Score starts at 100%. Deducts 10% per gap: - Missing DPO contact - No legal basis - No breach notification - International transfers without safeguards - Missing user rights THE STATUS THRESHOLDS: - 80% and above: Compliant - 50-79%: Needs Attention - Under 50%: Non-Compliant Conditional alert only for non-compliant policies. Specific gaps listed. THE TRANSFORMATION: Before: 2-4 hours per policy for manual review. Gaps discovered after contract signed. Inconsistent checking. After: 45 seconds with compliance score. Issues flagged before relationship begins. THE NUMBERS: 23 policies scanned last month 8 non-compliant policies caught 14 missing user rights identified 2 hours → 45 seconds per review Template in n8n and All workflows in Github

Cursor just launched Automations, which are trigger-based AI coding agents that can launch automatically on events like PRs, Slack messages, and alerts instead of you manually prompting them. In this video I break down how they work, how they compare to Claude Code and OpenClaw, and why the fundamentals matter more than the tools. There are 7 core agent concepts (triggers, instructions, tools, models, sandboxing, state, and deployment) that transfer across every tool in this space. Learn one tool well and you'll do well no matter what comes next.

Stripe proof link: https://profile.stripe.com/cj_ai/KpQwErd6 Hey guys, started selling AI callers at $2k-$3k to small businesses + monthly maintainer cost which is double what the expenses would be so that added 100% would be profit monthly. Main acquisition: 2k cold emails a day to local businesses doing $1m-$10m. Tech stack: 1. apify.com google maps scraper to scrape businesses in Canada + USA. 2. Enrich google maps data on clay.com to find owners and their emails 3. SendNest.io for cheap Microsoft inboxes (using a 4 domain set up with 400 inboxes) 4. Instantly.io for email sending and reply handling businesses. Love the journey, will soon be able to quit my job if this continues! Good luck everyone and hope you found value 🤝