← All Conversations
July 02, 2026

AI ladder nobody told you about

AI adoption workflow automation specialist agents closed loops productivity

Summary

We need to produce a summary 250-500 words, covering core insight, arguments, tools/techniques mentioned, actionable takeaways. No preamble, no labels. Just the summary text. We must ensure length between 250 and 500 words. Let's aim ~300-350 words. We need to capture the article: AI ladder with 4 levels, description, and actionable steps: pick a weekly workflow, map as human input, AI thinking, human review. Also mention that only 9% scaling, etc. Tools: ChatGPT, Claude, Gemini. Specialist agents, closed loops, end-to-end workflows. Let's craft ~320 words. Check word count. We'll count roughly. Write: "The article introduces a four‑level framework for AI adoption..." etc. Let's draft ~340 words. Now count words manually approximate. I'll write then count. Draft: "The article argues that most individuals and organizations are stuck at a superficial level of AI use and miss the compounding gains that come from building systematic, specialist‑agent workflows and closed‑loop automation. It begins with an anecdote about the slow adoption of email in the 1990s to illustrate how waiting five years for a new technology can leave you irreversibly behind when competitors are already compounding at 10×. The author then maps AI maturity onto four levels. Level 1 is complete non‑use; Level 2, where most people reside, consists of occasional, ad‑hoc interactions with chatbots such as ChatGPT, Claude, or Gemini that save only a few minutes per task and feel like progress but actually capture only about five percent of the technology’s potential. Level 3 moves beyond the chatbot to end‑to‑end workflows: a human provides input, the AI performs the thinking, and a human reviews the output. By stacking these workflows around a specific job, users create specialist agents—e.g., an SEO agent, an email agent, an ad‑creative agent—that outperform a generic assistant and make the old way feel like “drinking soup with a fork.” Level 4 represents transformative, closed‑loop systems where agents not only execute tasks but also monitor, evaluate, and improve each other without constant human oversight; a human sits at the top to manage the loop. The article cites a real‑world example in which an agent scans an ad account, doubles down on winning creatives, generates 200 variations, and kills dead campaigns, shrinking a two‑week effort to two seconds. It notes that only nine percent of companies are scaling with AI, while the remaining ninety‑one percent remain at Level 2, mistaking experimentation for transformation. To climb the ladder, the author prescribes three immediate actions: (1) identify a weekly, high‑return repetitive task; (2) map it as the three‑step human‑input → AI thinking → human review workflow; (3) implement that workflow, beginning the construction of a specialist agent that can later be linked into closed loops." Now count words. I'll count manually. "The(1) article2 argues3 that4 most5 individuals6 and7 organizations8 are9 stuck10 at11 a12 superficial13 level14 of15 AI16 use17 and18 miss19 the20 compounding21 gains22 that23 come24 from25 building26 systematic,27 specialist‑agent28 workflows29 and30 closed‑loop31 automation.32 It33 begins34 with35 an36 anecdote37 about38 the39 slow40 adoption41 of42 email43 in44 the45 1990s46 to47 illustrate48 how49 waiting50 five51 years52 for53 a54 new55 technology56 can57 leave58 you59 irreversibly60 behind61 when62 competitors63 are64 already65 compounding66 at67 10×.68 The69 author70 then71 maps72 AI73 maturity74 onto75 four76 levels.77 Level78 179 is80 complete81 non‑use;82 Level83 2,84 where85 most86 people87 reside,88 consists89 of90 occasional,91 ad‑hoc92 interactions93 with94 chatbots95 such96 as97 ChatGPT,98 Claude,99 or100 Gemini101 that102 save103 only104 a105 few106 minutes107 per108 task109 and110 feel111 like112 progress113 but114 actually115 capture116 only117 about118 five119 percent120 of121 the122 technology’s123 potential.124 Level125 3126 moves127 beyond128 the129 chatbot130 to131 end‑to‑end132 workflows:133 a134 human135 provides136 input,137 the138 AI139 performs140 the141 thinking,142 and143 a144 human145 reviews146 the147 output.148 By149 stacking150 these151 workflows152 around153 a154 specific155 job,156 users157 create158 specialist159 agents—e.g.,160 an161 SEO162 agent,163 an164 email165 agent,166 an167 ad‑creative168 agent—that169 outperform170 a171 generic172 assistant173 and174 make175 the176 old177 way178 feel179 like180 “drinking181 soup182 with183 a184 fork.”185 Level186 4187 represents188 transformative,189 closed‑loop190 systems191 where192 agents193 not194 only19

Hey

I asked my dad a question last month that has been stuck in my head ever since.

He was a programmer in the 90s. I was online when I was 8 years old. So I asked him how long it took the companies he worked at to adopt email. He said a long time. I pushed him. How long is a long time. He said 5 years.

Five years to adopt email!!!

That broke my brain a little. Because back then the internet was new and weird and most people did not trust it. Today the situation is different. You are holding infinite intelligence in your hand and it is already working.

You cannot afford to wait 5 years. If the person sitting next to you is compounding at 10x and they do it for 12 months, they are gone. You will never catch them.

So I want to give you a simple map today. There are 4 levels of AI adoption. Most people are stuck on level 2 and do not even know there are two more floors above them.

Let me walk you up the building.

#### **Level 1: Unacceptable**

This one is obvious. You are not using AI at all.

No ChatGPT. No Claude. No Gemini. Nothing. You are doing every task by hand the same way you did it in 2019.

There is no judgment here, but there is no future here either. If this is a teammate, this is the person you have to worry about. If this is you, the good news is the next level is one tab away.

#### **Level 2: Capable**

This is where most of the world lives right now.

You open ChatGPT or Claude. You ask it questions. You use it to search, to draft an email, to summarise an article. You believe in it a little. It saves you a few minutes here and there.

This is good. This is real progress. But here is the trap. Level 2 feels like the destination. It is not. It is the front door. You are talking to one tool, one question at a time, and then closing the tab. You are getting maybe 5 percent of what is actually available to you.

The reason this matters is a number that should bother you. Only 9 percent of companies are actually scaling with AI right now. The other 91 percent are sitting at level 2, poking at ChatGPT, calling it transformation. Almost nobody is shipping. That is not a technology problem. The tools clearly work for some people. It is an implementation problem. And implementation is exactly what the next two levels are about.

#### **Level 3: Adaptive**

This is where it stops being a chatbot and starts being a system.

At level 3 you are not asking one off questions anymore. You are building end to end workflows. Let me make that concrete, because the phrase sounds bigger than it is.

An end to end workflow is just three steps. A human gives an input. The AI does the thinking in the middle. The human reviews the output. That is it. Most of the work you do every day is already a workflow like this. You are just doing the middle part by hand.

Once you see that, you start stacking these workflows together. And when you stack enough of them around one job, you get a specialist agent.

One agent that is good at SEO. One that is good at email. One that is good at ad creative. You stop using a generic assistant and you start building specialists that go deep in one area.

The shift in how it feels is enormous. One person we work with described going back to normal work after this as drinking soup with a fork. It technically functions. It just does not work. Once you have specialist agents running your repeat tasks, doing it the old way feels exactly like that.

#### **Level 4: Transformative**

This is the top floor. This is closed loops.

For most of history we humans worked in open loops. Hey Bob, how is that report going. Hey Mike, how are the paid ads doing. Hey Anna, where are we on the creatives. Constant checking in. Nobody enjoys it. Nobody wants to be chased and nobody wants to do the chasing.

A closed loop removes the chasing. It is a set of tasks where agents do the work, check each other, and improve over time without you standing over them. You point a human at the top to manage the loop, and the loop runs.

Here is a real example of what that looks like. You can now tell one agent to look at your ad account, double down on the creatives that are working, spin up 200 variations of them, and kill the campaigns that are dead. Work that used to take 2 weeks gets compressed into about 2 seconds. That is the whole game. You are not saving time anymore. You are compressing it.

So the org chart of the future is simple. Humans at the top. Specialist agents below them. Closed loops connecting the agents. If your team is built that way, it compounds. If it is not, it stalls.

### 10 AI Stocks to Lead the Next Decade

AI isn’t a tech trend – it’s a full-blown, multi-trillion dollar race, and 10 companies are already pulling ahead.

These are the innovators driving real revenue, attracting institutional attention, and positioning for massive growth.

Get all 10 tickers in [The 10 Best AI Stocks to Own in 2026](http://marketbeat.com/newsletter/pdfoffer.aspx?offer=10BestAIStocks&RegistrationCode=Beehiiv-BUBDNZO6MS-10BestAIStocks&_bhiiv=opp_b434b7bb-db8d-4501-a4fa-070d0204801b_7d4f8797&bhcl_id=06227ecb-91e2-4a8c-8072-9d003651bfba_f672f2b6-1e60-4422-8448-ee13d3aa1099_22c35bc7-5e17-4448-baa5-49c4bf23f93e), free today.

[Download Now](http://marketbeat.com/newsletter/pdfoffer.aspx?offer=10BestAIStocks&RegistrationCode=Beehiiv-BUBDNZO6MS-10BestAIStocks&_bhiiv=opp_b434b7bb-db8d-4501-a4fa-070d0204801b_7d4f8797&bhcl_id=06227ecb-91e2-4a8c-8072-9d003651bfba_f672f2b6-1e60-4422-8448-ee13d3aa1099_22c35bc7-5e17-4448-baa5-49c4bf23f93e)

How to actually climb. Three moves by Friday.

Theory is nice. Here is what to do this week.

First, pick one workflow that repeats every single week and gives you the largest return. You know what it is. The annoying thing you do every Monday. That is your first target.

Second, map it as the three steps. Human input. AI thinking. Human review. Write it down literally like that. Most people skip this and that is why their AI use stays stuck at level 2.

Third, build that one workflow and run it for a week. That is the light bulb moment. Once one repeating task runs without you, you will never look at AI as a search box again. Then you build the second one.

You do not need a course. You do not need to be technical. I am not technical and I just like nerding out on this stuff.

The people winning with AI right now are not smarter than you. They are just earlier than you. They started before they felt ready.

The brain you build for yourself first is what you eventually hand to your whole team. One human plus five agents is a 10x team member. Maybe more. But it starts with one workflow, this week.

Start climbing. You are closer to level 4 than you think.

Stay curious, talk to you tomorrow.

Stay curious, talk to you tomorrow.

Best Nano Banana Use: 100+ Cases

100+ Nano Banana Use Cases is a ready-to-use prompt pack that unlocks the full creative power of Google's Nano Banana AI image model. Get over 100 tested prompts, options, and real-world examples t...

$9.99 usd: https://www.cooldeep.ai/products/best-nano-banana-use-cases