AutoGrow AI Solutions

▸ Pricing Structure

Setup: $500 – $1,500 (based on complexity)
Monthly: $150 – $300 (hosting, maintenance, API costs)
First client: $0 setup, $150/month (loss leader for testimonial)
Our cost per client: ~$5-15/month in Gemini API calls + Railway hosting.
Margin: 85-95% on monthly recurring.

▸ Sales Model

Derick walks into businesses with a laptop running the live demo platform.
On the spot: enters the business name, industry, and FAQs → chatbot generates in real-time.
The business owner sees THEIR chatbot answering THEIR customers' questions immediately.
No "free consultation" dance. No "we'll get back to you." Demo → close → deploy same week.
Target verticals: dental offices, barbershops, restaurants, HVAC, real estate, fitness studios.

▸ Tech Stack

AI Engine: Gemini 2.5 Flash (cost-effective, fast, XPRIZE requirement)
Demo Platform: Cloudflare Pages — configure panel + live preview
Client Deploys: Railway (one project per client, custom domain optional)
Website: autogrow.org (Cloudflare Pages)
DNS: Cloudflare (unified dashboard with all other projects)

▸ Calgary Competition

Big players: The Automators (30+ clients, full agency), A&H Solutions, Connect 2U
Mid-range: IF Media, CalWest AI, LocalAIHub ($1,500+/month packages)
Newer: TectaAI (barbershops/salons), AutomateNexus ($2,500 build + $99-399/mo)
Our edge: 50-70% cheaper. Same-week delivery. In-person demos (nobody else does this). No team overhead — AI builds it, human delivers it.

▸ Revenue Targets

Month 1: 1 client (even free) → testimonial + case study
Month 2-3: 3-5 clients at $150-300/mo → $450-1,500 MRR
Month 6: 10-15 clients → $1,500-4,500 MRR
Year 1: 25-40 clients → $3,750-12,000 MRR
Each client is recurring. Revenue compounds. Churn is low when the bot actually works.

▸ Operational Automation (Future)

When client count exceeds what Derick can manually manage, deploy an operations bot:
— Client onboarding automation (intake form → auto-generate chatbot → deploy)
— Usage monitoring and billing alerts
— Automatic prompt optimization based on conversation analytics
— Client dashboard for viewing their chatbot's performance
The business that builds chatbots runs on a chatbot. Meta-proof of concept.

▸ Build Checklist (June 28, 2026)

☐ Demo chatbot platform (configure + preview in one page)
☐ Sole proprietorship registration (Derick, AMA, $59)
☐ Sales pitch one-pager (PDF Derick can leave behind)
☐ First demo-ready client scenario (dental office example)
☐ First client (even free for testimonial)
☑ Domain registered (autogrow.org on Cloudflare)
☑ Market research completed (Calgary competition mapped)
☑ Pricing strategy set ($500-1500 setup, $150-300/month)
☑ Website live (autogrow.org — landing page with pricing)
☑ Reference models defined (7 founder frameworks)

▸ Reference Models — Decision Frameworks

Seven founders whose proven approaches guide how AutoGrow is built, positioned, and grown. Each one is a decision lens — when you face a choice, channel the person whose framework fits the moment. You don't study all seven every session. The right model shows up when the context calls for it.

BUILD PHASE — Product, shipping, and feature decisions

Pieter Levels (levels.io) — Ship or keep building?
Core question: "Would a real user pay for this today?"
Builds and ships real SaaS solo, fast. Kills the urge to overbuild before anyone has used it. For AutoGrow: get the chatbot in front of a Calgary business THIS WEEK. Fix what breaks. Don't add features nobody asked for.

Dharmesh Shah (HubSpot co-founder & CTO) — Is this simple enough?
Core question: "Can the least technical business owner use this without help?"
Built HubSpot for SMBs when everyone said it was impossible. Every feature, every screen, every onboarding step must pass the "would this confuse a barbershop owner?" test.

David Cancel (Drift founder) — Does this feel human?
Core question: "Does this feel like talking to a helpful person or a robot?"
Built the conversational AI for business category. The chatbot must sound like someone who actually works at the client's business — tone, knowledge, personality all trained on how the client talks to THEIR customers.

GROWTH PHASE — Scale when the product ships and works

Alex Hormozi (Acquisition.com) — Is this offer undeniable?
Core question: "Is this offer so good people feel stupid saying no?"
Bootstrapped to $120M+. The pitch math: chatbot saves $1,200/month in staff time, costs $200. That's a 6x return. Frame every conversation around the ROI, not the monthly fee.

Steven Bartlett (Diary of a CEO) — Is this story worth telling?
Core question: "Does this make someone trust us before they buy?"
Derick's story IS the brand. Trades background, built AI products, understands real businesses from the inside. Content should feel like conversations, not pitches.

Gary Vaynerchuk (VaynerMedia) — Am I showing up enough?
Core question: "Am I creating enough content that the right people can't avoid finding me?"
Volume + consistency + platform-native formats. Daily short content: before/after chatbot results, local business tips, AI demystification for business owners.

Iman Gadzhi (IAG Media) — Does free value lead to paid?
Core question: "Does this free content naturally create demand for the paid product?"
Free AI audit for businesses → shows them what they're losing → books the demo → closes the deal. Every piece of free content is a step toward a paying client.

Quick reference — which lens for which decision:
Adding a feature? → Levels (ship it) + Shah (simplify it)
Tuning chatbot personality? → Cancel (make it human)
Pricing a new tier? → Hormozi (make the offer undeniable)
Planning content? → Gary Vee (volume) + Bartlett (story)
Designing a funnel? → Gadzhi (free → paid conversion)
Unsure what to do next? → Levels (what would a paying user want?)

These frameworks compound. The more you use them, the faster the right lens surfaces. Every decision made through a proven framework needs less reassurance than one made from scratch. Trust the instinct — that's the whole point.