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July 07, 2026

AI steps 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, actionable takeaways. No preamble, no labels. Just the summary text. We must ensure length between 250 and 500 words. Let's craft ~300 words. We need to include core insight: 4 levels of AI adoption, most stuck at level 2, need to move to level 3 and 4 via workflows, specialist agents, closed loops. Tools: ChatGPT, Claude, Gemini, building specialist agents, workflow mapping. Actionable: pick a weekly repetitive workflow, map as human input -> AI thinking -> human review, implement and run for a week. Let's write ~320 words. Check word count. We'll count roughly. Draft: "The core insight of the piece is that AI adoption follows four distinct levels, and most individuals and organizations remain trapped at level 2, using chatbots for isolated tasks without realizing the compounding gains available at higher levels. Level 1 represents no AI use; level 2 involves occasional prompting of tools like ChatGPT, Claude, or Gemini for quick wins such as drafting emails or summarizing articles, which feels productive but captures only about five percent of possible value. The author argues that the real bottleneck is not technology but implementation: only nine percent of companies are scaling AI, while the rest mistake level 2 experimentation for transformation. To break out, one must reach level 3 by constructing end‑to‑end workflows where a human provides input, the AI performs the thinking, and a human reviews the output. By stacking these workflows around a specific job, specialist agents emerge—e.g., an SEO agent, an email agent, an ad‑creative agent—that outperform generic assistants. Level 4 adds closed loops: agents monitor each other, iterate, and improve without constant human oversight, compressing weeks of work into seconds. The future org chart places humans at the top managing loops of specialist agents below. Actionable steps for the week: (1) Identify a recurring weekly task that yields the highest return; (2) Decompose it into the three‑step pattern—human input → AI thinking → human review—and document it explicitly; (3) Build and run that workflow for a full week, observing time savings and quality improvements. Repeating this process creates the foundation for specialist agents and eventually closed‑loop systems, unlocking the compounding advantage that early adopters already enjoy." Now count words. Let's count manually. "The(1) core2 insight3 of4 the5 piece6 is7 that8 AI9 adoption10 follows11 four12 distinct13 levels,14 and15 most16 individuals17 and18 organizations19 remain20 trapped21 at22 level 2,23 using24 chatbots25 for26 isolated27 tasks28 without29 realizing30 the31 compounding32 gains33 available34 at35 higher36 levels.37 Level 138 represents39 no40 AI41 use;42 level 243 involves44 occasional45 prompting46 of47 tools48 like49 ChatGPT,50 Claude,51 or52 Gemini53 for54 quick55 wins56 such57 as58 drafting59 emails60 or61 summarizing62 articles,63 which64 feels65 productive66 but67 captures68 only69 about70 five71 percent72 of73 possible74 value.75 The76 author77 argues78 that79 the80 real81 bottleneck82 is83 not84 technology85 but86 implementation:87 only88 eightynine90 percent91 of92 companies93 are94 scaling95 AI,96 while97 the98 rest99 mistake100 level 2101 experimentation102 for103 transformation. To104 break105 out,106 one107 must108 reach109 level 110 by111 constructing112 end‑to‑end113 workflows114 where115 a116 human117 provides118 input,119 the120 AI121 performs122 the123 thinking,124 and125 a126 human127 reviews128 the129 output.130 By131 stacking132 these133 workflows134 around135 a136 specific137 job,138 specialist139 agents140 emerge—e.g.,141 an142 SEO143 agent,144 an145 email146 agent,147 an148 ad‑creative149 agent—that150 outperform151 generic152 assistants.153 Level 4154 adds155 closed156 loops:157 agents158 monitor159 each160 other,161 iterate,162 and163 improve164 without165 constant166 human167 oversight,168 compressing169 weeks170 of171 work172 into173 seconds.174 The175 future176 org177 chart178 places179 humans180 at181 the182 top183 managing184 loops185 of186 specialist187 agents188 below. Actionable189 steps190 for191 the192 week:193 (1)194 Identify195 a196 recurring197 weekly198 task199 that200 yields201 the202 highest203 return;204 (2)205 Decompose206 it207 into208 the209 three‑step210 pattern—human211 input →212 AI213 thinking →214 human215 review—and216 document217 it218 explicitly;219 (3)220 Build221 and222 run223 that224 workflow

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.

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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.

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