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WEDNESDAY, SEPTEMBER 9, 2026
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📗 Free Guide · Just Released
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You Don't Have a Reputation Problem. You Have an AI Visibility Problem.
When a client asks ChatGPT, Gemini, or Perplexity to recommend a firm like yours, AI doesn't pick the best business. It picks the one it can recommend with confidence. Every business now has two reputations: the one your clients know, and the one AI assembles from your digital footprint. AI Searchability breaks down the four signals AI weighs before it recommends you, and how to make sure the reputation you've earned is one it can actually see.
| ▶ Why respected firms are going invisible to ChatGPT, Gemini & Perplexity |
| ▶ The 4 Pillars of AI Readiness, and which one carries the most weight |
| ▶ How to turn the reputation you've earned into evidence AI can verify |
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Trending this Week:
A founder walked me through his setup last month, pretty proud of it. He'd wired a sharp AI assistant into half his operation. Then I asked him one question: when the assistant drafts a customer reply, where does it pull the account history from. Long pause. It didn't. He was pasting the same context in by hand every single time.
That's where a lot of businesses are stuck right now. The assistant is capable. The business around it was never built for the assistant to do anything on its own. The conversation is moving off which AI you use and onto whether your company is actually organized for AI to help. Your knowledge, your context, your handoffs, and whether you can trust where an answer came from. That's the part nobody put on a sales page. MORE →
Today's Issue:
| ▶ Three AI tools built to connect your assistant to your people, your knowledge, your tools, and your workflows |
| ▶ A case study on a company rebuilding its whole operation so AI can actually plug in |
| ▶ A growth hack for finding where your own business isn't ready for AI yet |
This week is about the unglamorous layer that decides whether any of the AI works: the plumbing underneath it.
Let's get into it. 👇
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🚀 AI TOOLS OF THE WEEK
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Tool #1
Offloop
Summary
Offloop is a shared workspace where your team and your AI agents plan, assign, run, and track work in one place. The conversation and the decisions stay visible to everyone, and every stage of a workflow has a clear owner, whether that's a person or an agent.
Why It Matters
Work loses its thread every time it changes hands. The AI finishes a step, a person picks up the next one, and the following conversation opens cold with nobody remembering what already happened. Offloop is built to carry that context across the handoff.
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Scott's Take
"This lands right on top of what we covered last week about coordination quietly eating your AI gains. Making one task faster does little if the next person has to reconstruct what the AI did. The value is in keeping people and agents working off the same thread."
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Tool #2
Contrive
Summary
Contrive ties your company knowledge together across the tools you already run and lets you search all of it from a command bar on your desktop. It pulls the relevant pieces together and shows you where each one came from, with the next action sitting right there in front of you.
Why It Matters
Add up the hours your team burns hunting for something that already exists. The customer note is in the CRM. The decision that explains it is three days deep in a Slack thread, and the number everyone needs is in a doc nobody can find. Contrive is built to close the distance between finding the thing and doing something with it.
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Scott's Take
"Your business already has most of the information it needs. The hard part is getting the right piece to the right person at the moment they need it, and that specific problem is one AI has gotten genuinely good at."
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Tool #3
Cortex
Summary
Cortex gives your AI a longer, steadier memory. It holds onto useful company knowledge, strips out the repetitive noise, keeps conflicting facts visible side by side so a person can settle which one holds, and lets the AI point back to the original source when it answers.
Why It Matters
An AI gets far more useful when it remembers the right things about how you operate. Dump everything into its memory and you get a swamp. Cortex is built to keep that memory clean enough to trust and quick enough to check.
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Scott's Take
"You're going to hear a lot more about AI memory over the next year. If an agent is going to sit inside your business, it can't show up like a temp on day one every time you open a chat. It needs history, and it needs a way to know which facts it should actually believe."
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Sponsored
Business checking built for growing companies. See Chase for Business →
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📖 AI IN THE REAL WORLD
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KT Is Rebuilding the Floor Before It Adds the AI on Top
KT, the South Korean telecom, is scaling up a modernization program built to make AI part of the company's core infrastructure, the way the network and billing systems are core. The program, called Next IT, reaches from the core business platforms down through the IT beneath them and into the daily work itself.
The piece worth watching is Next IT Works. KT is running AI across planning, design, development, testing, and operations. It's also building one internal platform for managing and deploying its own AI agents, so staff can pull them into their workflows from a single place.
KT says the point is to make working with AI the default across the company, and to circulate both the wins and the experiments that flopped. It's also modernizing the systems underneath, including ERP, operations support, cloud, and customer-facing services, so the foundation can carry the AI layer going on top of it.
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Scott's Take
"What I like is the order of operations. KT started by looking at the whole system and fixing the ground, then added AI on top. You're not rebuilding enterprise IT on a small business budget, and the sequence still holds at any size. Get your information, your processes, your handoffs, and your context organized enough for AI to help before you go shopping for more of it."
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Sponsored
Email, docs and collaboration tools your whole team can share. See Google Workspace →
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⚡ AI GROWTH HACK OF THE WEEK
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Build Your AI-Ready Business Map
The Strategy:
Take one important process in your business and follow it end to end for 30 minutes. Pick something that runs on repeat, like onboarding a customer, publishing content, chasing leads, fulfilling an order, or kicking off a campaign. You're hunting for the spots where AI would actually have something to grab onto.
1. Pick one repeating process. Choose something that happens the same way often enough that you know it cold.
2. Write every step in order. For each one, note who does it, which tool they use, what information they need, and where the work goes next.
3. Mark the friction points. Circle where someone has to hunt for information, where work sits waiting on the next person, where the same call gets made every single run, and where a step only works because it lives in one person's head.
4. Hand the map to your AI. Paste the whole thing into your assistant with the prompt below and tell it to look at the whole process as one system.
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The AI Prompt to Steal
"Act as an AI operations consultant. Below is a recurring workflow inside my business. Analyze the entire process as one connected system. [PASTE WORKFLOW] Point out where information gets lost, where handoffs create delays, where people keep searching for context, and where the same decisions get made over and over. Then give me the four best places to bring in AI. For each one, tell me what the AI should do and what information it needs access to. Also tell me what a person still has to control, and how I would know the whole workflow improved instead of one isolated step."
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Why This Works:
The goal is pulling friction out of the whole process. Sometimes that means a tool takes over a task. Sometimes it means someone gets information three steps sooner than they do today. Sometimes it means the context survives a handoff so nobody restarts from zero. The bigger gains are usually sitting in those seams between the steps.
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Wrapping Up
Offloop keeps people and agents working off the same thread as a job moves forward. Contrive connects the knowledge you've already got scattered across a dozen tools to the action that's supposed to follow it. Cortex works on the memory underneath, so the AI stops treating every conversation like the first one.
KT is doing the same thing at a scale you'll never need. It's rebuilding the systems under the business and wiring AI through the workflows so agents and people work together on the same page.
You don't need KT's budget to borrow the thinking. Take one process that matters and walk it from start to finish. Find where information vanishes, where people wait, where work repeats, and where somebody has to rebuild context before they can move.
Those gaps are where your best AI opportunities are hiding. The next phase of this is a business where your people, your systems, your information, and your AI work off the same page.
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Keep profiting,
Scott Hall
AI Profit Letter
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