Opening

${prospectName} | Partnership Intelligence

🎯 LLM INSTRUCTION: Hero Section Personalized narrative built from public research. Weave in: their brand positioning, core audience, what they're leaving on the table (opportunity gap), and psychographic triggers (dreams, fears, suspicions) extracted from their public content. Frame as partnership exploration, never a sales pitch. Make them think: "These people understand my business better than most people I've actually talked to."
EXAMPLE TONE: "Your framework around [methodology] reaches an audience of [size] who are hungry for [outcome]. Right now, they're consuming your content passively. We see an opportunity to serve them actively— 24/7, personalized, through an AI OS built on YOUR IP."
✓ DO
  • Use their actual name and brand positioning
  • Reference specific public content pieces
  • Weave in opportunity/gaps they're leaving
  • Make it feel bespoke, not templated
✗ DON'T
  • Use generic hero copy
  • Lead with OUR brand—lead with THEIRS
  • Assume psychographic data
  • Make it feel like a template
01

The Model

📋 LLM INSTRUCTION: OS Explainer Explain the AI-powered operating system concept in their specific domain. What it does for their audience. How it captures and scales their IP. Why it's different from courses/coaching. Use their methodology/frameworks as concrete examples. Show before/after comparison. Avoid jargon.
Extract
LLM: Explain how their IP, methodology, and frameworks get captured into structured content. Use specific frameworks they've built.
Build
LLM: Describe AI-powered tools and assessments that are built FROM their IP. Show concrete examples from their domain.
Scale
LLM: Explain how the OS serves their audience 24/7 with personalized experiences. Show what 100x audience reach looks like.
Monetize
LLM: Describe revenue-share model, mutual growth, IP ownership. Be honest this isn't passive income.
02

Live Demo: Your Methodology in Action

🎬 LLM INSTRUCTION: AI Interaction Demo Create a simulated conversation using THEIR domain knowledge. Show 3-4 exchanges where someone asks a question in their field and AI responds using their actual frameworks. Make it clear this was built from public content alone. Include: "Imagine what's possible with your full IP library."
EXAMPLE FORMAT:
User: "How do I [typical question in their domain]?"
AI: "Based on [their framework name], here's the approach: [3-4 specific, concrete steps from their actual work]"
User: "[follow-up based on their domain]"
AI: "[detailed response using their specific frameworks]"
— Built from public content alone.
03

The Trade: What Each Side Brings

💱 LLM INSTRUCTION: Give/Get Grid Create two-column comparison: "What You Bring" (THEIR specific IP, audience, domain authority, existing content) vs "What We Bring" (tech stack, build team, launch playbook). Reference their ACTUAL assets, not generic. Be honest about effort required—this isn't passive income.
What You Bring
LLM: List their specific assets: [name their frameworks], [their audience size], [their existing content library], [their domain authority].
What We Bring
LLM: AI infrastructure, build team (size/expertise), launch playbook, analytics, hosting, ongoing optimization.
✓ DO
  • Reference their ACTUAL assets
  • Be honest about effort required
  • Use anti-sales language
  • Show mutual value
✗ DON'T
  • Use generic language
  • Make it sound like passive income
  • Be vague about contribution
  • Hide the work involved
04

The Partnership Arc: Explore → Build → Launch → Scale

📅 LLM INSTRUCTION: 4-Phase Timeline Create phases showing progression from fit assessment to exit-ready venture. Each phase needs: timeline, milestones, what happens. Personalize to their content volume and team size. Don't promise specific revenue numbers.
Phase 1: Explore
Mutual fit call, IP audit, audience analysis. [1-2 weeks]. Personalize based on their context.
Phase 2: Build
Extract IP, build OS, test with audience segment. [4-6 weeks personalized]. Show realistic effort.
Phase 3: Launch
Revenue share begins, iterate on product-market fit. [2-4 weeks]. Personalize to their audience size.
Phase 4: Scale
Expand tool suite, build toward exit-ready asset. Ongoing. Show long-term vision.
Call to Action

Worth Exploring?

🎯 LLM INSTRUCTION: Light CTA Respectful, mutual exploration frame. Reference specific things from their situation. Use EXACT URLs (no placeholders). Frame as conversation, not sales. Make it feel genuinely light—"if it's not a fit, that's fine."
EXAMPLE CTA: "Worth a 20-minute conversation to explore? We'll share what we've learned about [their industry], you share your vision for [their goal], and we'll see if the timing and fit make sense."
✓ DO
  • Use EXACT URLs (no placeholders)
  • Frame as mutual exploration
  • Reference specific call topics
  • Keep tone genuinely light
✗ DON'T
  • Use placeholder URLs
  • Use urgency language
  • Use "limited spots"
  • Make it about us, not them
🔗 REQUIRED URLS Booking: https://calendly.com/derek-athio/partnershipcall
Apply: https://ideas.asapai.net/athio-apply
(NEVER use placeholders)

📋 athio-jv-cold Template Metadata

Stage: Cold prospect (unknown, research-based)

Data Source: Public research (website, LinkedIn, podcast, etc.)

Tone: Intelligent peer. Someone who did their homework. Warm but substantive. Never salesy.

Personalization Level: Deep (reference their specific content, frameworks, audience)

Trust Mechanism: Psychographic accuracy proves real research. OS explainer shows substance. AI demo proves tech works.

Anti-Patterns to Avoid: Generic pitch language, hype, urgency tactics, self-congratulatory language, unsubstantiated claims, fabricated quotes

Sections: Hero + Model + Demo + Trade + Arc + Next Steps

Design: Dark theme (#0a0a0a), amber accents (#f59e0b), Space Grotesk/Inter, sticky nav, progress bar