Watch the live training this came from
This article is drawn from Shanee Moret's Day 2 live training on Codex, websites, agent-ready infrastructure, and real business-owner implementation.
Watch the replay →Most conversations about AI and business stay vague on purpose. "Saves time." "Increases productivity." "Scales your output." None of that is useful. What is useful is the specific number that tells you whether the investment is real.
I spent more than 8 months going deep on Codex and agentic systems before teaching any of this. Over two days of live training, real business owners ran real tests on their real businesses and came back with real numbers. This post is those numbers — organized so you can evaluate the actual case, not the pitch.
For the complete framework around why these results happen, read the full guide. Watch me explain this live if you want to see the tests happen in real time.
The Numbers That Tell You What's Actually Possible
The first time someone uses Codex in their actual business — not a demo, not a tutorial — the number that comes back is almost always surprising. Not because the tool is magic, but because the baseline comparison is always against doing it manually.
Here is every significant number from two days of live testing, organized by what it actually measures.
Speed: What Codex Does and How Long It Takes
| Task | Time | Context |
|---|---|---|
| Pull context on a prospect, build a branded proposal/landing page, email them | ~3 minutes | Single prompt, no clicks beyond the prompt; this was the moment Claire Davis converted from non-user to agent operator |
| Rebuild a client website — hundreds of pages, multiple blogs, alt text on all images, content updates | ~90 minutes | Client had not touched the site in a long time; Codex completed it without the client logging into a portal |
| One-time setup for weekly leadership meeting automation | 15–20 minutes | Heather answered Codex's setup questions once |
| Weekly savings from that automation, recurring | ~2 hours/week | Codex checks email, builds agenda, distributes it with deadlines, captures meeting, generates action items — without input, every week, permanently |
The three-minute prospect proposal was the number that shifted Claire. She had heard about AI for two years. She had attended sessions, watched demos, read about it. What moved her was watching Codex touch her actual prospect — in her format, from her business — before she had a chance to intervene. Information did not convert her. A number did.
The 90-minute website rebuild matters for a different reason. That is not a small task done faster. That is the elimination of a project. A client with hundreds of pages of outdated content, images without alt text, and blogs that needed improvement did not spend three weeks coordinating with a developer. It took one session.
Learn how to set up your agent's environment before activating any goal — the 15-minute setup is only available after the environments are connected correctly.
Cost: What This Actually Costs vs. What It Replaces
| Line Item | Cost | What It Replaces or Compares To |
|---|---|---|
| Codex subscription (the tier needed for website and agent management) | $100/month | Referenced against full-time staffing and software overhead |
| Cloudflare paid plan — full app, 10+ company users, security features | $5/month | Enterprise application infrastructure that previously cost thousands to build |
| Replit subscription (referenced as comparison) | ~$25/month | Alternative development environment |
| HM Pinnacle Consulting's estimated annual value of Codex | Hundreds of thousands of dollars | Factoring in staffing adjustments, CRM build, and automations — Heather's own estimate |
The $5/month number deserves more attention than it gets. One client needed a full application with security features for a company with more than ten users. It runs entirely on the Cloudflare paid plan. That is not a prototype. That is production infrastructure.
The hundreds-of-thousands estimate for HMP Consulting is not marketing language. Heather Mackay runs an HR leadership firm. She was calculating what it would cost to hire staff to do what Codex is now doing — and factoring in the CRM build her partner John is completing through Codex, which external vendors quoted at thousands and only offered to cover 10–20% of their actual requirements.
Learn why Codex recommended GitHub + Cloudflare and what that infrastructure decision means for what your agent can actually do.
Adoption: How Long the Real Shift Actually Takes
| Person | Before | After | Timeframe |
|---|---|---|---|
| Claire Davis (Traction Resume) | Self-described non-user; resistant for years; "terrified AI would replace her business" | Managing an agent swarm | Less than 2 months from first Codex exposure |
| Heather Mackay (HMP Consulting + Steel and Stems Farm) | Heavy ChatGPT user; "My business is a people business, there's no room for this" | Codex running autonomous outreach, agents managing meetings, partner building a custom CRM | Active implementation ongoing |
| Claire — prior to the shift | Cycled through 5–6 major platforms over the years: Kajabi, ClickUp, Squarespace, Monday, HighLevel, and others | Building on agent-managed infrastructure | Within the same month as conversion |
The two-year number is the one I carry. It took me two full years of persistence before Claire seriously engaged with AI tools. Not because she was incapable — because she had never seen it in her business. Less than two months after her first real exposure, she was managing multiple agents.
That is not a personality story. That is the exposure trigger in action. The intellectual case for AI does not convert established business owners. A three-minute demonstration of Codex handling their actual prospect does.
Results: What Happens When an Agent Has Access and a Goal
Heather's side business — a small dahlia farm — runs with modest advertising, some Facebook presence, and an email list. Normal weekly sales: roughly 35 tubers.
She set a goal of 200 tubers for Mother's Day weekend. Her reasoning was that it was hard but not impossible. She connected Codex to a second Gmail account, her Shopify store, and her Facebook page. She set the goal. Codex asked clarifying questions — are these the only Facebook pages for dahlias, can I look at your current Shopify customers — and then began working.
- Saturday, starting approximately 1:00 PM: 204 tubers sold. Goal reached before Heather went to bed.
- Sunday morning: Heather reset the goal to 400 for the weekend.
- Final count, Sunday midnight: 490 tubers sold. Heather was away from her computer for most of Mother's Day.
The context matters: Mother's Day created urgency, and limited inventory created scarcity. Those factors contributed. What they do not explain is the difference between 35 tubers in a normal week and 490 in a weekend — especially with Heather not present for most of it.
The other result worth noting: Codex's first response to a new customer named Karen, who mentioned it was her first dahlia garden, included "We're so excited our dahlias will be in your very first dahlia garden. Please send us an image when it's ready." Karen placed a second order. Heather said she would not have said that herself. The agent did.
Read the full breakdown of the dahlia weekend test — including what Codex did every five minutes and how the goal feature works mechanically.
Readiness: Where Most Business Owners Actually Start
I scored 100/100 on isitagentready.com. That score came after months of work and ongoing iteration. It is not where I started.
During the live session, audience members ran their own sites. Live scores: 17, 0, 25. These are not beginners. These are established business owners with real track records, existing client bases, and offers that work. They are invisible to the agent economy right now — not because their businesses are weak, but because their websites were built for human visitors, and the agents humans are deploying to research vendors cannot crawl them properly.
A score of 0 does not mean the business does not exist. It means an AI agent searching on behalf of a potential client would pass that business over entirely — not out of judgment, but because the site is not readable to a non-human crawler.
Learn what an agent-readiness score actually measures and how to improve it.
What the Numbers Actually Prove
The argument for AI agents in an established business does not rest on any single number. It rests on the pattern across all of them.
Three minutes for a prospect proposal that would take a human an hour. Ninety minutes for a website rebuild that would take a developer three weeks. Fifteen minutes of setup for two hours of weekly time returned, permanently. Five dollars a month for enterprise-level infrastructure. Four hundred and ninety tubers sold in a weekend when thirty-five is a normal week.
These are not projections. They are results from a Mother's Day weekend, from a live demonstration, from a client engagement, from a session where audience members ran real tests on their real businesses in real time.
The HMP Consulting growth target of four new clients per month over six months — that is a goal, not a result yet. Heather asked Codex to return five concrete action steps toward a 10% revenue increase by end of May. It did. Whether that goal is met is a future number. What is already a number is that Heather's IT person Brian's role has effectively become agent manager. The job changed because the infrastructure changed.
The business owners who are not seeing numbers like this are, in most cases, still running the Google model: ask a question, receive an answer, go execute it yourself. That model produces adequate outputs. It does not produce 490 tubers.
The shift is in the command. Not "here's how to fix it" — "you fix it, tell me when it's complete."
For the complete framework, read the full guide.
Related reading:
- The Mental Model Shift: From Google to Agent
- Setting Up Environments Before Activating a Goal
- The Dahlia Weekend: Running the Goal Feature
- Why Codex Recommended GitHub + Cloudflare
- The Agent-Readiness Test: What Your Score Actually Means
This is Part 40 of a 43-part series. Start from the beginning.
Use the skills behind this system
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