A system that can bring $80k-$200k/mo in qualified pipeline and help you make money from the thin Air. (Note: make sure the client closes high-ticket deals only) 1. Signal-based lead generation Instead of blasting strangers… Go after the people already raising their hand through real signals. A few examples: IT companies posting about breaches → cybersecurity firms reach out within 24 hrs Recruiting firms posting new openings → staffing automation vendors contact same day SaaS companies hiring SDRs → sales enablement tools get in early Pull signals from Apollo, Sales Nav, Clay, Exa, public directories — wherever your ICP shows intent. Enrich → verify inbox → done. Stop guessing. Start timing. 2. Hyper-personalized icebreakers (15 sec each) If your opener sounds like: “I saw you’re doing great things at [Company]…” You already lost. Use THEIR: LinkedIn activity website data hiring/job signals industry context Example: “Saw you're hiring 3 SDRs this month. Before adding headcount, thought I’d share this — we’re producing 17x SDR output using AI workflows targeting only your ideal profiles. Worth a quick look if it adds $20k+ in qualified pipeline?” This takes 15 seconds with the right workflow. Which means your team can hit 100 targeted leads/day, not 20 generic ones. 3. Emails that de-risk the decision Every email must prove three things: They have the pain (reference their real situation) You have the solution (clear, simple, believable) You’re the safest vendor for it (proof, credibility, performance terms) Formula: Personalization → Pain/Solution → Proof → Soft CTA No 8-paragraph novels. No hype. And add de-risking lines like: “If I don’t produce X, you don’t pay.” “I’ll work for $0 until this outcome is hit.” Let them feel the before/after in their world. 4. 4–5 follow-ups (each with new value) Most teams stop after 2 emails. Top performers don’t. Each follow-up must bring something NEW: Short case study from their niche

Built 20+ document workflows. Every one needs validation. Dates in future? Negative amounts? Missing fields? Wrote same validation 20 times. Client changed rules. Had to update 20 workflows. Built reusable validation function node. Logic lives in one place. Update once, applies everywhere. THE FUNCTION: function validateDocumentData(data) { const errors = []; if (data.invoice_date > new Date()) { errors.push("Invoice date cannot be in future"); } if (data.total_amount <= 0) { errors.push("Total must be positive"); } const required = ['vendor_name', 'invoice_number']; required.forEach(field => { if (!data[field]) errors.push(`Missing: ${field}`); }); if (data.total_amount > 10000 && !data.approval_code) { errors.push("Over $10K needs approval"); } return { isValid: errors.length === 0, errors: errors, data: data }; } Catches data quality issues before destination systems. THE VALIDATION CATEGORIES: Format: Dates formatted correctly, numbers are numbers Range: Amounts positive, dates reasonable Business rules: Purchase limits, approvals, vendor whitelist Completeness: Required fields present Logic: Math adds up, percentages sum to 100 REAL CATCHES: Invoice dated 2026 (typo) - Caught Negative amount -$1,500 - Caught Missing vendor name - Caught $85,000 without approval - Routed to approval Duplicate invoice number - Prevented duplicate Would have created reconciliation nightmares. Function caught all. THE ERROR HANDLING: Validation fails returns: - isValid: false - errors: Array of specific problems - data: Original data Downstream IF checks isValid. True → continue. False → route to fix. THE CENTRALIZED BENEFIT: Client changes rule: "$5K needs approval" (was $10K). Without centralized: Update 20 workflows manually With centralized: Update function once, 30 seconds VALIDATION METRICS: Monthly validations: ~6,000 Errors caught: ~180 (3%) 3% sounds low. But 180 documents monthly would have caused downstream problems.