WHAT IS IT?

WHAT YOU’RE GETTING

Cold Email That Doesn’t Suck Agent is a white-label AI tool that helps your clients do four things that consultants normally charge tens of thousands for.

It learns who actually buys from your client (their ICP). It writes personalized cold emails that sound human, not AI. It removes 24 AI red flags before the email goes out. And it creates tiered pricing that closes more deals at higher prices.

No consulting required. No 8-week engagements. No dependency on you.

Your clients run four commands (CLI) or copy-paste four prompts (Desktop), and they get results.

TWO EDITIONS, ONE PRODUCT

• CLI Edition: For developers and agencies who want to integrate this into their automation stack. Works with n8n, Make, Zapier, and Activepieces. Outputs JSON. Single Python file. Drop it in and run.
• Desktop Edition: For founders and sales leaders who don’t code. Copy-paste four prompts into Claude Cowork. No setup. No dependencies. Works immediately.

Same underlying engine. Different delivery. Your choice which to sell, or sell both.

HOW IT WORKS

THE FOUR COMMANDS (CLI EDITION)

1. LEARN_ICP Your client pastes their deal history (company, title, industry, size, revenue, won/lost). The agent analyzes what actually converts. Output: Win rate, top 5 titles, top 3 industries, company size pattern, and one-sentence ICP summary.

Real output: “Your ICP is VP Sales at SaaS companies with 500-1K employees. 60% win rate. Focus here.”

That clarity alone is worth $3K in consulting.

2. WRITE_EMAIL Your client gives the company name and job title. The agent generates three distinct email angles: different hooks, different signals, and different CTAs. Each email is under 150 words, sounds human, and includes zero generic greetings or vague benefits.

Real output: Three angles like:

• Hiring signal: “I noticed you just hired 5 engineers…”
• Competitive gap: “Your competitor is ranking for keywords you’re missing…”
• Insider data: “I found something in your product roadmap…”

Your clients test all three. Best angle gets scaled.

3. CHECK_SLOP Your client pastes their draft email. The agent scans for 24 AI red flags that tank open rates. Generic greetings, vague value, soft CTAs, artificial urgency, all-caps words, leaked credentials—everything that makes an email sound like AI. Output: Detailed report showing exactly which patterns are present, why they’re a problem, and how to fix each one.

Real output: “Generic greeting detected. Fix: Add specific detail. Revised: ‘Hi {first_name}, I noticed you just…’”

Most founders don’t know these 24 patterns exist. Your clients will feel like they unlocked a cheat code.

4. PRICING_TIER Your client enters their target deal size and services (SEO, CRO, content, paid media, email). The agent generates four pricing tiers using value-based pricing psychology. Powerhouse (anchor high at 1.5x), Value (target tier at 1.0x), Baseline (floor at 0.6x), Performance (results-only at 1.2x + revenue share).

Real output: Target $12K?

• Powerhouse: $18K
• Value: $12K (← recommend this)
• Baseline: $7.2K
• Performance: $14.4K + 5% of revenue above baseline

Most prospects choose Value. But seeing Powerhouse first makes it feel reasonable.

THE FOUR PROMPTS (DESKTOP EDITION)

Same four workflows, but as copy-paste prompts.

No coding. No CLI. Just paste data, get results.

Prompt 1: Analyze my deal history → Get ICP clarity Prompt 2: Write personalized emails → Get three angles to test Prompt 3: Remove AI tells → Run 24-point checklist, get specific fixes Prompt 4: Create pricing tiers → Get 4 options anchored correctly

Desktop users get the START_HERE guide (15 minutes), reference library, and pricing examples by industry.

HOW IT WORKS (UNDERLYING FRAMEWORK)

BUILT ON PROVEN METHODS

ICP Learning: Pattern matching from historical deal data. Extract what actually converts.

Email Generation: Claude API with template fallback. Each email is distinct, specific, and sounds human.

Slop Detection: 24-pattern library based on what tank open rates. Regex scanning + specific fixes for each pattern.

Pricing Tiers: Hormozi values psychology. Show the premium tier first (anchor high), present your target as reasonable, the floor tier as “try it”, and the results-only tier for the risk-averse.

ZERO DEPENDENCIES (DESKTOP)

Desktop Edition works in Claude Cowork. Copy-paste prompts. Done.

No API keys required (though optional for AI-powered email generation).

No setup, no installation, no “contact support” moments.

OPTIONAL INTEGRATION (CLI)

CLI Edition integrates with any tool that runs Python.

• n8n: Trigger ICP analysis when a new deal closes. Auto-generate emails for prospects matching that ICP.
• Make: Pull deal history from CRM → Run ICP analysis → Store results in Notion.
• Zapier: New prospect from LinkedIn → Check against ICP → Auto-send email template → Log reply in Airtable.

Your clients build their own workflows.

WHO IS THIS FOR?

THIS IS FOR YOU IF YOU’RE AN AI AUTOMATOR OR AGENT BUILDER

You’re already building custom agents for clients. You know the market for “done-for-you AI” is exploding. But building from scratch takes weeks.

This is not a template. This is not a prompt library. This is a complete, production-ready agent. Two editions. White-label ready. Customizable. Resellable.

You can:

1. RESELL IT AS-IS. Package it, price it, sell it. Keep 100% margin. Your clients get the CLI or Desktop Edition. You control the positioning.
2. WHITE-LABEL AND CUSTOMIZE Rebrand it. Add your own email generation prompts. Integrate your own CRM. Build your own landing page. Make it yours.
3. INTEGRATE INTO YOUR EXISTING STACK. Combine this with other agents you’re building. Package as part of a larger “cold email + lead research + outreach” solution.
4. PROVIDE AS A SERVICE: Build a SaaS wrapper around it. Charge the monthly recurring revenue. Your clients log in, run the four commands, and get results. You handle support.

YOUR CLIENTS GET RESULTS YOUR CLIENTS NEED

If your clients are in sales, marketing, or business development, they’re stuck in one of these:

• They don’t know who actually buys from them (wrong ICP = wasted emails)
• They’re sending generic cold emails (5% reply rate instead of 15%+)
• Their copy sounds like AI (deliverability tanks, opens plummet)
• Their pricing is arbitrary (lost revenue, lower close rates)

This agent solves all four.

YOUR COMPETITORS AREN’T OFFERING THIS YET

Most AI automators are focused on workflow automation (CRM sync, email scheduling, etc.).

Nobody is packaging ICP learning, human-sounding email, slop detection, and value pricing into one unified agent.

That’s a gap. You can own it.

WHY IT WORKS

REASON 1: IT’S BUILT ON WHAT ACTUALLY CONVERTS

ICP learning from real deal data (not guesses). Email frameworks that work (not templates that sound like AI). Slop detection based on what tanks deliverability (not generic grammar rules). Pricing psychology that closes deals (not random numbers).

Your clients don’t need another email template library. They need clarity on who to email, what to say, and what to charge.

This delivers all three.

REASON 2: IT SOLVES A PROBLEM THAT ACTUALLY COSTS MONEY

Your clients spend hundreds of hours writing cold emails that bounce. They send it to the wrong people (no ICP clarity). They use generic copy (5%+ reply rates tank). They don’t know how to price (leave money on the table).

Each of these costs real money.

REASON 3: IT’S ACTUALLY WHITE-LABEL READY

No hidden branding. No “Powered by [Company]” watermarks. No license restrictions.

You can customize it. Rebrand it. Sell it as your own. Resell it to your clients.

The code is yours. The prompts are yours. The results belong to your clients.

REASON 4: IT’S NOT A SUBSCRIPTION TRAP

This is not a “pay $49/month forever” SaaS.

You buy it once. You own it. You resell it (one-time or recurring, your choice).

Your clients buy it once. They own it. No ongoing licensing fees to you or us.

That’s the whole point. Your clients want ownership, not another subscription they’ll cancel in 6 months.

REASON 5: YOUR CLIENTS WILL USE IT

Most “AI tools” sit unused. This one gets used because it delivers results in under 30 minutes.

Day 1: Run ICP analysis (5 min). Get clarity on who actually buys. Day 2: Generate emails (10 min). Get three angles to test. Day 3: Remove slop (10 min). Get specific fixes before sending. Day 4: Create pricing (5 min). Get four tiers for your sales deck.

By Day 4, your clients have a complete cold outbound strategy, ready to execute.

No 8-week engagement. No “let’s set up a call.” No waiting for deliverables.

They run it themselves. They see results immediately.

REASON 6: IT COMPOUNDS

Day 1: First 10 emails sent. 1 reply. Week 1: 50 emails sent. 4 replies (8% rate). Month 1: 200 emails sent. 16 replies. 3 meetings booked.

Each cycle, your clients learn what works. They refine the angles. They improve the ICP. They raise prices as they close more deals.

This agent is not a one-time use. It’s a system they’ll use repeatedly, improving each time.

THE SPECIFICS

WHAT YOU ACTUALLY GET

CLI Edition (cold-email-cli.zip):

• cold_email_agent.py (production-ready, 22 KB, fully featured)
• AGENTS.md (agent persona/description)
• SKILL.md (complete technical documentation)
• requirements.txt (dependencies: anthropic, requests)
• .env.example (environment variables)
• setup.sh (one-click installation script)

Desktop Edition (cold-email-desktop.zip):

• START_HERE.md (15-minute walkthrough)
• Agent_Profile.txt (Claude Cowork agent description)
• 4 ready-to-copy prompts (ICP analysis, email writing, slop detection, pricing tiers)
• Knowledge_Base/ (24-point slop checklist with detailed explanations + 6+ pricing examples by industry)
• Prompts/ (all four prompts as standalone files, easy to copy)
• Connector_Guide.md (optional integrations: Gmail, Notion, HubSpot, Zapier, Make)

PS: THIS IS NOT THE ONLY OPTION

You could build this yourself. Spend 6-8 weeks writing code, testing, and documenting.

Or you could use these two ready-made editions, customize them, and launch this week.

Your choice.