Jason & Will: 14-Day Labs GTM Sprint, Monetization Constraints & Conduit Agent Use Case

Why Constraints Matter

• If it requires 3 people × 8hrs/day, nobody can copy it — not a real playbook
• Nate Hurk's sprint example: even 3 build days per step was hard for most participants
• The meta-product IS the constraint-bounded process — that's what we sell
• 30 hours chosen over 40 because "40 sounds like a job psychologically"

ICP Definition

• Lab ICP: Entrepreneurs/operators trying to grow a business using AI
• 14-Day Sprint ICP: Business owners, operators, influencers struggling to monetize AI
• Pain points: FOMO, too much noise, 100 hours of "productive" exploration with no ROI
• Venn diagram: AI ∩ Business/Entrepreneur ∩ Go-to-Market

Pricing & Go-to-Market Strategy

• 3-month upfront commitment (not monthly — reduces "gym membership" churn)
• Monthly discount rate after initial commitment for retention
• Stack deal: first 5 at founder price for testimonial extraction
• Fast-track coaching (15-min slots) opens before April 1 formal launch
• Teaser calls/demos with early signups to generate social proof
• Target: 50 people at ~$600/ea = $30K initial; shoot for 100 = $60K
• Distribution: Nico's community (affiliate %), Steve's planted network

The Meta-Product Concept

Four layers of meta:

• Layer 1: Build the lab product (AI operating entrepreneurism)
• Layer 2: Document the 14-day sprint as a reproducible playbook
• Layer 3: Teach others the 14-day sprint — "here's how we monetized, now you do it"
• Layer 4: Customers clone the lab concept for their own expertise and audience

Conduit Secure Cloud Stack (Will's Update)

• Tyler building infrastructure: RunPod compute wrapping, VPN layers, container isolation
• Type-safe microservices framework — consistent data I/O for guardrails
• Templates at launch: spin up OpenClaw-light agent on dedicated container
• Options: centralized API keys OR dedicated GPUs for smaller models
• Early partner: prepaid AI credits startup for telehealth — each user gets own VPS instance
• Focus: "Where is the product layer on top of infrastructure?"

HC Protocol × Conduit = Portable Agent Recipes

Jason's proposed integration:

• HC-compliant pages contain embedded knowledge + agentic instructions + structured data
• A whole sitemap of HC pages = a portable knowledge base using the existing web
• Embedded agents on HC pages execute using Conduit's secure cloud
• Users' data stays secure — agents run in Conduit's isolated containers
• Agent recipes become like "buying songs for Spotify" — portable, stackable, shareable
• "iPhone moment": point average person at HC page, push button, agent does the rest

AI Productivity Reality Check

Will cited management consultant research:

• Most corporate AI users feel more productive but aren't actually more productive
• AI generates to-dos and information but no real signal — "creative exploration"
• The value prop: help people get past noise to find the real signal
• Framework + community + consistency = path from FOMO to ROI