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This is where I'll post all the assets, prompts and setups from my videos. Feel free to start threads about classroom lessons, video resources or anything else that relevant to AI in business.
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Pre-Outreach Cold Email Safety Check
You are a senior outbound systems auditor and AI agency operations engineer. I have a lead-generation system that can find qualified leads. Before I allow it to create Gmail drafts, I need you to audit the draft creation path for safety. Report only. Do not change code yet. Audit: 1. Where email copy is generated. 2. Where Gmail drafts are created. 3. Whether any function can send instead of draft. 4. Whether any batch query can create multiple drafts accidentally. 5. Whether the system requires a manually selected lead ID. 6. Whether the lead must be Qualified_Email before draft creation. 7. Whether the lead must belong to the correct campaign, such as slow_site_pagespeed. 8. Whether the lead has valid PageSpeed evidence. 9. Whether the lead has a valid prospect email. 10. Whether the lead is blocked if already drafted, contacted, rejected, bounced, or active dialogue. 11. Whether last_email_copy is written only after successful draft creation. 12. Whether demo building is fully disabled. 13. Whether Slack and Telegram are disabled unless explicitly approved. Desired safe behavior:Add a one-off function like: pagespeed_create_draft_once(lead_id: str) It must: - accept exactly one lead ID - refuse to run without a lead ID - refuse non-Qualified_Email leads - refuse wrong campaign keys - refuse already drafted/contacted leads - generate one plain-text email - create one Gmail draft only - never send - never build a demo - never post Slack unless explicitly added later - update status only after Gmail draft creation succeeds Email requirements: - 60 to 120 words - plain text - no link in first touch - no hype - no technical jargon as the main pitch - no em dashes - mention the business issue in plain English - translate slow mobile performance into missed calls, lost quote requests, or visitors leaving - ask if they want to see the quick version or improvement idea - do not say “I already built your website” unless the demo actually exists
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Build a Safer AI Agency Lead Generation System From Scratch
You are a senior AI automation architect and lead-generation systems engineer. I want to build a safe, quality-first lead-generation system for an AI web design or automation agency. The goal is not to scrape random leads and spam them. The goal is to find businesses that have a real website gap, qualify them carefully, and route them into manual review before any outreach happens. Design the system with two lead lanes: Lane 1: Google Maps No-Website ProspectorFind local businesses that: - appear on Google Maps or a similar local search source - have a meaningful number of reviews - have a real phone/address/category signal - appear to have no owned website - are relevant to the search query - are likely to be real active businesses This lane should not assume email is available. Route leads into: - Qualified_Phone_Review - Needs_Enrichment - Manual_Review - Suppressed Do not force these into email outreach unless enrichment finds a real contact email. Lane 2: Slow Website / PageSpeed ProspectorFind businesses that: - already have an owned website - have a valid contact email - have a slow or weak mobile website - have a commercial reason to improve the website - are not a directory, booking platform, article, association profile, or weak ICP lead Use PageSpeed or similar audit evidence, but translate technical metrics into business pain: - visitors leaving before calling - mobile visitors not waiting - missed quote requests - weaker trust compared to competitors - local search opportunity loss Design the architecture with these components: 1. Lead intake. 2. Deduplication. 3. Email validation. 4. Query relevance scoring. 5. Owned-site detection. 6. Third-party platform detection. 7. ICP and commercial-fit detection. 8. PageSpeed audit. 9. Lead scoring. 10. Suppression logic. 11. Manual approval routing. 12. Source run logging. 13. Dry-run mode. 14. Gmail draft mode, disabled by default. 15. Autonomous sending, disabled by default.
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Lead Generation Audit Prompt
Audit My AI Agency Lead Generation System You are a senior AI automation architect, outbound systems engineer, and lead qualification auditor. I am building an AI-powered agency system that finds local business leads, qualifies them, drafts outreach, and eventually helps create website demos. Before I automate outreach, I need you to audit my top-of-funnel lead generation system for quality, safety, and revenue potential. Important:Do not change code yet. Report only.Do not enable sending.Do not create Gmail drafts.Do not trigger demo builds.Do not post to Slack or Telegram unless I explicitly ask.Do not modify existing production workflows. Audit the system across two lead lanes: Lane 1: Google Maps No-Website LeadsThese are businesses found through Google Maps or a similar local search source that appear to have reviews, proof of activity, and no owned website. Audit for: 1. How leads are collected. 2. Whether the system confirms the business has no owned website. 3. Whether review count and rating are used as demand signals. 4. Whether the system deduplicates by business name, phone, email, domain, and address. 5. Whether the system checks query relevance, so a search for “window cleaners” does not qualify generic house cleaners. 6. Whether leads without email are routed correctly to phone review, enrichment, or manual review. 7. Whether the system avoids forcing no-email leads into an email campaign. 8. Whether bad categories are suppressed, such as directories, schools, government, nonprofits, spam, or irrelevant businesses. 9. Whether every run logs source analytics, such as source query, source run ID, qualified count, suppressed count, and manual review count. Recommended statuses: - Raw_Scraped - Needs_Enrichment - Qualified_Phone_Review - Manual_Review - Suppressed - Rejected - Active Dialogue - Draft_Created - Contacted Lane 2: Slow Website / PageSpeed LeadsThese are businesses that already have websites, but the sites may be slow, weak on mobile, outdated, or poorly optimized.
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