WEDNESDAY, OCTOBER 7, 2026

Every week we break down practical uses of AI to build smarter systems and scale faster, resulting in more profitable workflows in your business.

Trending this Week:

A friend who runs a small marketing shop showed me a folder last week. Forty ad variations, a dozen video cuts, two full landing page drafts, and a page of email subject lines, all generated in a single afternoon. Then she asked the question that actually mattered: which of these is any good?

That question is getting louder everywhere. AI can write the ad, cut the video, summarize the customer interviews, and even predict which version people will click. Making things has gotten cheap and fast. Deciding what deserves to go out the door has gotten harder, because there’s so much more to sort through.

So the edge is moving toward judgment. Knowing your customers well enough to pick the strongest idea, and trusting the AI you rely on enough to act on what it hands you. The businesses pulling ahead are the ones getting sharper at both. MORE

Today’s Issue:

This week is about judgment: how to tell what’s actually good when AI can make almost anything.

Let’s get into it. 👇

🚀 AI TOOLS OF THE WEEK

Tool #1

Decode by Entropik

Summary

Decode is an AI-powered platform for UX and market research. You can run AI-moderated interviews, usability tests, prototype studies, concept tests, and shopper research, and you can gauge how an ad is likely to perform before it ever launches. It also layers in webcam eye tracking along with facial and voice emotion analysis, so you pick up signals participants never say out loud.

Why It Matters

Guessing is the most expensive habit in marketing. Decode gives you a way to put an idea in front of real people before you commit budget to a campaign, a product, a landing page, or a new customer experience.

Tool #2

Flicka

Summary

Flicka is a screen recorder that runs in your browser and adds cinematic zooms automatically by following your cursor. You can trim and edit recordings on a timeline and mark up screenshots with annotations, then export finished files as video (MP4 or WebM) or as a GIF. You don’t need to install anything or create an account, and your recordings get processed right on your own device, which matters if you’re capturing anything sensitive.

Why It Matters

Screen recordings do more work than most people give them credit for. The same capture can become a product demo, a social clip, customer onboarding, sales material, a support video, or a quick explanation for your team. Flicka gets those recordings looking polished without adding a whole video editing workflow to your week.

Tool #3

Supacut

Summary

Supacut is built for documentary and interview editors with hours of footage to get through. It flags strong soundbites, groups footage by theme, compares answers across interviews, suggests possible narrative directions, and generates an editable rough cut. When it’s done, editors export the work and keep refining it in the editing software they already use.

Why It Matters

Anyone who’s edited interview content knows where the hours disappear: hunting for the handful of great moments buried in the footage. Supacut takes over most of that searching and sorting, so creators can spend their energy deciding what story they want to tell.

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📖 AI IN THE REAL WORLD

Strong AI Governance Is Linked to Much Higher ROI

According to a new SAS study of 2,699 business leaders across 28 countries, the way a business manages its AI has a lot to do with the returns it reports. Organizations with strong practices around AI governance, data quality, oversight, explainability, and accountability were 15 times more likely to report strong or high AI ROI than organizations with weaker practices.

Trust showed up in the data too. According to the same SAS study, 97.2% of respondents said they override AI recommendations at least occasionally, and the leading reason was a lack of explanation behind what the AI decided.

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⚡ AI GROWTH HACK OF THE WEEK

Write Your 10-Minute AI Rulebook

The Strategy

You don’t need a 50-page corporate AI policy. Start with one page covering the AI tools your business already uses, then let AI help you turn your notes into rules your team will actually follow.

1. List what AI can handle. Write down the tasks you’re comfortable handing to AI today, like first drafts, meeting summaries, research outlines, or social captions.

2. Name the off-limits information. Note what should never go into an AI tool, such as customer payment details, passwords, employee records, or anything covered by a confidentiality agreement.

3. Mark the human checkpoints. Decide which outputs a person has to review first, especially anything going out under your business’s name or feeding into a real decision.

4. Have AI draft the rules. Paste your notes into the prompt below and let AI shape them into a one-page guide. Then read it yourself and cut anything your team wouldn’t actually follow.

Why This Works

As AI touches more parts of your business, a few simple rules keep small mistakes from turning into expensive ones. They also give your team confidence. People know where AI can help and where their own judgment still counts, and you get there without turning AI adoption into a compliance project.

Wrapping Up

Decode helps you test an idea with real people before you spend money on it. Flicka and Supacut help you polish the content once it exists. All of them point at something I keep coming back to: speed only pays off when someone is still judging what’s good. The businesses getting the most from AI still bring real judgment about their customers and about what deserves to move forward.

The SAS research adds another layer. As AI takes on more responsibility inside a business, trust and oversight have to grow right alongside speed and automation. The companies that put some structure around their AI are the ones reporting the strongest returns.

You don’t need enterprise-level governance to start. Write down a few clear rules and decide where a person stays in the loop. That’s enough to make sure AI is raising the quality of your business instead of only piling more work onto everyone’s desk.

Keep profiting,

Keep profiting,

Scott Hall

AI Profit Letter

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WEDNESDAY, SEPTEMBER 30, 2026

Every week we break down practical uses of AI to build smarter systems and scale faster, resulting in more profitable workflows in your business.

Trending this Week:

A client called me last month, nervous about turning on an AI tool for the first time. Her real worry was what her three employees would think once they found out. Would they assume she was quietly building a case to replace them?

That worry shows up in almost every conversation I have with small business owners right now. Somewhere along the way, “adopting AI” and “cutting your team” got treated as the same decision. Owners feel like they have to pick a side: keep people and stay slow, or go fast and lose people.

New research is putting real numbers behind what I’ve been telling clients for a while: that’s a false choice. Businesses using AI are growing their teams faster than businesses that know about AI but haven’t adopted it. The capacity AI frees up is getting spent on the next hire more often than it’s getting banked as pure savings. MORE →

Today’s Issue:

This week is about the after: what happens once AI actually buys you back hours, and where those hours tend to go.

Let’s get into it. 👇

🚀 AI TOOLS OF THE WEEK

Tool #1

Naoma

Summary

Naoma replaces the standard “Book a Demo” button with an AI sales agent that runs the demo itself. A B2B SaaS prospect can get a live, personalized walkthrough of your product right in the browser, ask questions, get qualified, and get routed to whatever comes next.

Why It Matters

A prospect who lands on your site at 9 PM shouldn’t have to fill out a form and wait until tomorrow to see your product work. Naoma keeps that demo available around the clock and hands off qualified leads straight to your CRM or your sales calendar.

Tool #2

Hello Inbox

Summary

Hello Inbox helps businesses get more of their email campaigns into the inbox instead of the spam folder. It runs nine deliverability checks and pairs them with an AI layer that turns the technical output into specific fixes.

Why It Matters

You can write a sharp email and build a strong offer, and none of it matters if the message never reaches anyone. Deliverability tools have a habit of dumping a pile of technical data on marketers without telling them what to actually do about it. Hello Inbox is built to close that gap and hand you next steps instead of a report.

Tool #3

Slashy

Summary

Slashy is an AI-native email client built to handle more of the work sitting around your inbox. It drafts responses in your voice, prioritizes what actually needs your attention, tracks follow-ups, and pulls context from your email, calendar, CRM, and meeting notes.

Why It Matters

Email isn’t only communication. It’s where leads show up, decisions get made, meetings get booked, customer questions land, and follow-ups quietly die. Slashy is built around that bigger picture. You can ask it to prep you for a meeting, draft a follow-up, flag people who still owe you a response, or help you clear the backlog.

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📖 AI IN THE REAL WORLD

Small Businesses Using AI Are Hiring Faster

New research from Gusto tracked small businesses after they started using AI and found something that cuts against the usual headlines: AI adopters grew their headcount about 7% more than similar businesses that knew about AI but hadn’t adopted it yet.

That gap widened for the smallest businesses. Companies under 10 employees grew their teams about 10% more once they adopted AI. A lot of these businesses used the extra output to take on more work and serve more customers, which meant hiring more people to keep up.

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⚡ AI GROWTH HACK OF THE WEEK

Find Your Next 5 Hours

The Strategy:

Before you buy another AI tool, figure out where your time is actually going. For one week, track every repetitive task pulling you away from customers, sales, strategy, or building your product. Then hand that list to AI and let it find your best opportunities.

1. Track your tasks for a week. Write down every repetitive task that eats into time you’d rather spend on customers, sales, strategy, or your product.

2. Hand the full list to AI. At the end of the week, paste everything into an AI tool and ask it to sort through what you tracked.

3. Prioritize by real time saved. Focus on the handful of opportunities that could realistically buy you back at least five hours a week.

4. Test before you commit. For your top three opportunities, get a plan for what to automate, what tool or workflow it needs, what still needs a human reviewing it, and the simplest way to try it before you spend serious time or money.

Why This Works:

Saving time only pays off if you actually put it somewhere. Finding five real hours a week gives you five hours to put toward customers, marketing, product work, or whatever’s next on your growth list. That’s the real mechanism behind AI productivity turning into business growth.

Wrapping Up

Naoma clears the wait on sales demos. Hello Inbox clears the guesswork around email deliverability. Slashy clears the backlog piling up inside your inbox. Each one earns its keep by clearing friction out of work that was already stuck, long before anyone talks about what it generates on its own.

The Gusto research gives that idea a bigger frame. Small businesses using AI aren’t responding by shrinking. Plenty of them are gaining enough room to grow faster and bring on more people.

That’s the more useful goal for AI at a small business: clear out the work that’s slowing you down so you can put more of your time, your money, your people, and your attention into the work that actually grows the business.

Keep profiting.

Keep profiting,

Scott Hall

AI Profit Letter

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WEDNESDAY, SEPTEMBER 23, 2026

Trending this Week:

A client called me last week already convinced he needed to cut two people off his content team once his new AI stack went live. He had the notice half drafted before he ever asked me what I thought.

That assumption is sitting under a lot of AI purchases right now: faster tools, fewer people needed to keep the business running. I hear some version of that math from an owner almost every week, usually before they’ve actually tested it against their own team.

New research says the math doesn’t hold up. Adoption keeps climbing and the mass layoffs everyone braced for haven’t shown up, because businesses are pointing AI at the parts of a job that were never the reason they hired somebody in the first place. MORE →

Today’s Issue:

This issue is about what’s actually shifting inside a role once AI gets involved.

Let’s get into it. 👇

🚀 AI TOOLS OF THE WEEK

Tool #1

Higgsfield Genjutsu

Summary

Higgsfield Genjutsu is an AI video-to-video tool built for creators and marketers who want to reshape footage they’ve already shot. Its Motion Transfer and Object Swap features can change characters, objects, clothing, locations, and visual style, while keeping the original motion, timing, and shot structure intact.

Why It Matters

Traditional video marketing has a frustrating ceiling: a meaningfully different version usually means booking a crew and shooting it again. AI video editing is starting to remove that ceiling. One piece of footage can become several usable variations for different audiences, offers, products, and platforms, without rebuilding the production from scratch.

Tool #2

Wittverse

Summary

Wittverse connects to your development activity and team workflows to track timelines, watch delivery pace, flag problems before they derail a project, and surface which stage of the work is actually stuck. Instead of a team constantly chasing updates by hand, AI does the watching and surfaces what actually needs a person’s attention.

Why It Matters

There’s a hidden cost to managing any team: figuring out what’s going on. What changed, what’s late, who’s blocked, and whether something is about to miss its deadline. None of that work moves a project forward on its own. It only confirms where the project already stands, and the more time your best people spend gathering that picture, the less time they have to fix what it shows.

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📖 AI IN THE REAL WORLD

New Research Says AI Is Reshaping Jobs, Not Deleting Them

New research from the Federal Reserve Bank of New York found AI adoption rising fast, with 61% of service firms and 51% of manufacturers now using it in some form. AI-tied layoffs, though, remain limited across that same group.

What’s happening instead is retraining. A lot of businesses are teaching people already on payroll how to use AI inside the jobs they already hold, across marketing, day-to-day production work, and general productivity.

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⚡ AI GROWTH HACK OF THE WEEK

Build an AI Skills Plan for Your Team

The Strategy:

Pick one person on your team and get specific about the five tasks eating most of their week. For each one, look at how much time it takes, how repetitive it is, how much judgment it actually requires, and where AI could realistically help. Then build a simple training plan around the biggest opportunities you find.

1. Pick one person to start with. Choose someone whose week you understand well enough to break down honestly.

2. List their five biggest recurring tasks. Be specific about what actually eats their hours, not what you assume does.

3. Score each task on the same four points. Time spent, repetitiveness, judgment required, and realistic AI fit.

4. Turn the biggest opportunities into a 30-day plan. Hand the results to AI and let it build the training around what you found.

Why This Works:

You don’t need a full AI transformation to see results. Starting with one employee and the work already sitting on their plate lets you find where AI can realistically save time or improve output, teach the specific skills needed to make that happen, and measure the results before rolling the approach out to the rest of the team.

Wrapping Up

This week’s tools each chip away at a different piece of the same problem. Higgsfield Genjutsu removes the reshoot tax that used to cap how much creative testing a team could afford. Wittverse pulls the status-chasing tax off of managers so the picture of a project stays current without a person having to go build it by hand.

The Federal Reserve research backs up what these tools are actually doing in practice. Adoption is climbing fast, and businesses are mostly responding by retraining the people they already have rather than cutting them loose.

That leaves entrepreneurs with a more useful question than “how many people can I replace.” Look at the people already on your team and figure out where AI could make them faster, sharper, more consistent, or simply able to take on more than their week currently allows.

The goal here is simple: let the people you already trust do more with the time they get back.

Keep profiting,

Scott Hall

AI Profit Letter

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Better Online Info LLC | AI Profit Letter | 2150 NJ-35, Suite 250, Sea Girt, NJ 08750

WEDNESDAY, SEPTEMBER 16, 2026

Trending this Week:

I talked to a shop owner last week who had spent two months trying to work out how AI was going to reinvent her business. New product ideas, a different service model, a rebrand, some picture of a company that looked nothing like the one she runs now. She was worn out and had shipped nothing.

Meanwhile the businesses actually getting results from AI right now are doing something far less dramatic. They take a strength they already have, better service, deeper expertise, sharper recommendations, smoother buying, and use AI to put it in front of more customers. The company itself stays the same. What grows is the number of people who get the good version of it.

Williams-Sonoma is the clearest example this week, and the conversion numbers are hard to argue with. This is the shift worth paying attention to: AI as a way to amplify what already works. The teardown-and-reinvent version is the one burning people out. MORE →

Today’s Issue:

This week is about moving AI closer to the customer and closer to the expertise you already have.

Let’s get into it. 👇

🚀 AI TOOLS OF THE WEEK

Tool #1

Fotor

Summary

Fotor is an AI visual creation and photo editing platform for businesses that need marketing images without a designer on payroll. It can generate images from a prompt, swap or clear backgrounds, clean up product photos, and resize a piece of creative for every channel you post on.

Why It Matters

Marketing runs on a constant feed of visuals. Ads, emails, landing pages, social posts, and product listings all need art, and for a small team that production line becomes a bottleneck fast. Fotor turns a rough idea or a plain product shot into something campaign-ready in a few minutes.

Tool #2

BrandJet

Summary

BrandJet puts outreach and brand monitoring in one place. You can run campaigns across email, LinkedIn, WhatsApp, and Instagram while tracking what people say about your brand, your competitors, and your category, with AI handling the sentiment read.

Why It Matters

Most teams keep listening in one tool and outreach in another, and the two never talk. BrandJet connects them, so what you learn from the conversation can shape the conversation you start next.

Tool #3

FrameOS

Summary

FrameOS builds polished demos of iOS and Android apps from your Mac. You record the app in use, layer in camera and mic footage, add zooms, pans, transitions, and masks, then export finished video or stills.

Why It Matters

If you sell software or an app, showing the thing working communicates more than another paragraph of copy. One clean walkthrough can become an ad, an onboarding lesson, a sales demo, a support clip, or a landing page section.

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📖 AI IN THE REAL WORLD

Williams-Sonoma’s AI Shoppers Are Converting at 3X

Williams-Sonoma built an AI shopping assistant called Olive on its main site. Customers use it to find products and get help moving through the buying process. According to the company, shoppers who use Olive convert at three times the rate of shoppers who don’t.

The company has since rolled out a second assistant, Otto, for the Pottery Barn brands. Otto helps customers narrow choices, coordinate pieces that go together, answer specifics like rug sizing and outdoor materials, and pull in a human designer when the situation calls for it. Williams-Sonoma says more than 70% of Otto conversations wrap up without needing a person.

Personalization is doing heavy lifting too. The company reports that a visit with a personalized experience now brings in roughly nine times the revenue of an average visit, up from about two times a year earlier. CEO Laura Alber has been clear that the hands-on, service-heavy parts of the business stay human, though the processes around them can be sharpened by AI.

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⚡ AI GROWTH HACK OF THE WEEK

Turn Your Best Salesperson Into an AI Asset

The Strategy:

Your best salesperson or service rep answers the same set of questions every week, and the way they answer is worth money. Those conversations are the seed of an AI-powered customer experience, and you can start capturing them today.

1. Collect ten real questions. Pull the ten questions customers ask most before they buy, straight from your inbox, call log, and chat history, in the customer’s own words.

2. Record the real answers. Have your best person answer each one the way they would on a live call, including the questions they ask back, the objections they expect, the recommendations they tend to make, and the moments they would steer someone toward a different option.

3. Run it through AI. Paste the questions and answers into the prompt below and let the model organize them into a working structure, then surface the questions you have not covered yet.

4. Review and keep feeding it. Fix what the model got wrong, add the gaps, check it against a few real call recordings, and repeat as new questions come up.

Why This Works:

Williams-Sonoma’s edge comes from what the assistant knows. You may not have decades of structured data, but you have years of your team answering customer questions and steering decisions, and almost none of it is written down. Capture it now and you have raw material for sales scripts, onboarding, website copy, and support training long before you switch on anything customer-facing.

Wrapping Up

This week’s tools all sit at the same point: how your business shows up and responds. Fotor gets more creative options in front of you so testing beats guessing. With BrandJet, what the market says feeds back into what you say next. And FrameOS turns a product into a demo people watch, rather than a description they have to trust.

Then Williams-Sonoma shows what happens when AI moves right up next to the customer. The gains come from making expertise and recommendations available at the exact moment a customer is deciding. The hands-on parts people actually value stay human.

That is worth sitting with. You are holding years of knowledge inside old emails, sales calls, support replies, and the heads of a few key people. That knowledge is turning into one of the most valuable AI assets you own.

So here is the better question to chew on. How can AI help more customers get the experience that already makes you worth choosing?

Keep profiting,

Scott Hall

AI Profit Letter

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Better Online Info LLC | AI Profit Letter | 2150 NJ-35, Suite 250, Sea Girt, NJ 08750

WEDNESDAY, SEPTEMBER 9, 2026

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:

This week is about the unglamorous layer that decides whether any of the AI works: the plumbing underneath it.

Let’s get into it. 👇

🚀 AI TOOLS OF THE WEEK

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.

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.

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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📖 AI IN THE REAL WORLD

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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⚡ AI GROWTH HACK OF THE WEEK

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.

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.

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.

Keep profiting,

Scott Hall

AI Profit Letter

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Better Online Info LLC | AI Profit Letter | 2150 NJ-35, Suite 250, Sea Girt, NJ 08750

WEDNESDAY, SEPTEMBER 2, 2026

Every week we break down practical uses of AI to build smarter systems and scale faster, resulting in more profitable workflows in your business.

Trending this Week:

A marketing director I talked to last week was thrilled. Her team had cut content review time almost in half using AI, hours she assumed would show up somewhere on the quarter’s numbers. When she pulled the actual output report, the department had shipped almost the same amount of finished work as the quarter before it. The hours were real. The business impact wasn’t.

That story keeps repeating itself across almost every business I talk to right now. People are genuinely doing their individual jobs faster. Meetings run shorter, drafts turn around quicker, follow-up emails go out same-day, and research that used to eat an afternoon gets done before lunch. None of that speed is fake. It also isn’t turning into a faster business, and most owners can’t explain why.

New research finally puts a real number on that gap, and it points straight at where all those saved hours are quietly going instead of showing up on the bottom line. MORE →

Today’s Issue:

This week is about the difference between feeling faster and running a business that’s actually performing better.

Let’s get into it.

🚀 AI TOOLS OF THE WEEK

Tool #1

Omni

Summary

Omni takes AI agents you’ve already built and tested on your own machine and moves them into the cloud, where they stop depending on your laptop staying open. From there, an agent can run on a schedule and work through tasks that stretch on for hours, available to your whole team instead of locked inside one person’s chat history. It also gives you a way to test, watch, debug, and keep improving those agents once they’re live instead of setting them loose and hoping.

Why It Matters

An agent that only works while your laptop stays open puts a ceiling on what it can actually do for your business, since it depends entirely on you remembering to keep a chat window running. Moving that same agent into the cloud is what turns it from something you experiment with into something the business can actually depend on, the same way you’d depend on software running on a server instead of your desktop.

Tool #2

Samepage Signals

Summary

Samepage Signals plugs into the tools your team already runs a business through and pulls out the information that actually matters, on its own, before anyone has to go hunting for it. It watches things like customer feedback, what competitors are doing, how a product is actually progressing, where work is getting stuck, and what customers keep asking for, then surfaces the pattern instead of leaving it buried across a dozen different tools.

Why It Matters

The bigger a business gets, the more its most important information scatters across calls, CRMs, project boards, and Slack threads nobody rereads. That information doesn’t vanish. It gets buried under everything else that happened that week, and by the time someone notices the pattern, the moment to act on it has often already passed.

Tool #3

Astute

Summary

Astute is a B2B platform built around creator partnerships instead of traditional advertising. It tracks where your brand already shows up, figures out which creators the people you’re trying to sell to already trust, builds a strategy backed by that data, and handles a lot of the legwork behind actually running the partnership.

Why It Matters

B2B buyers increasingly make up their mind about a company before a salesperson ever gets on the phone with them, based on a newsletter they subscribe to, a podcast they listen to, a community they’re active in, or a creator whose opinion they already trust. Ignoring that shift means showing up to the conversation after the buyer has already decided what they think of you.

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📖 AI IN THE REAL WORLD

The 11 Hours Everyone Gained and the 6.4 Hours Nobody Talks About

According to a survey of 6,000 digital workers from the Glean Work AI Institute, 75% said AI has made them personally more productive, freeing up an average of 11 hours of work every week. Ask the same group whether AI actually improved how their organization performs overall, and the number collapses to 13%.

The researchers point to something they call coordination neglect. Speeding up one person’s part of a workflow doesn’t erase the rest of the workflow around it. Someone still has to hand that AI the right context, check what it produced, fix what it got wrong, and make sure the handoff to whoever’s next actually lands. The same survey found workers spending an average of 6.4 hours a week on exactly that kind of work, feeding AI context, supervising its output, correcting what it got wrong, and cleaning up whatever it left behind downstream. Researchers labeled this “botsitting.”

Their real conclusion is that counting how much AI gets used, how many tasks get completed, how much content gets generated, or how many people are logging into an AI tool every day tells you almost nothing about whether AI actually helped. The only number that means anything is what happens to the entire workflow from the first step to the last one.

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⚡ AI GROWTH HACK OF THE WEEK

Redesign One Sales Role Around AI

The Strategy:

Pick one person carrying sales or business development and rebuild their week so AI absorbs more of the prep work, freeing them to spend more of their actual time building relationships instead of prepping for them.

1. Map the whole sales cycle. Write down everything that happens around a sales conversation, including everything before and after it: prospect research, account prep, meeting notes, follow-ups, CRM updates, competitor research, proposal work, reminders.

2. Sort it by who should own it. Run that list through the prompt below. Some tasks AI can run entirely on its own. Others need AI’s help while a person still finishes the work. Everything else stays fully in human hands.

3. Automate exactly one task. Pick a single AI-ready task from the results and put it to work this week instead of trying to overhaul the whole process at once.

4. Measure the hours it actually freed. Track how much additional time your salesperson spent talking to qualified prospects instead of prepping, not how much AI activity happened.

Why This Works:

Automation only pays off once you know what capacity you’re actually creating. The data behind the Inc. 5000’s fastest-growing companies backs that up: growing businesses tend to use both AI and people deliberately, finding the split that lets each one do what it’s actually good at instead of treating automation as a replacement for either.

Wrapping Up

This week’s three tools fit that same idea from different angles. Omni takes an AI agent out of a one-off chat window and turns it into something that keeps running on its own schedule. Samepage Signals pulls the information your team needs out of the tools you already use instead of making someone go hunt for it. Astute automates the legwork behind creator partnerships while keeping the actual relationship at the center of the strategy.

The case study is the part worth sitting with longer, though. Saving time isn’t the same thing as improving a business. If those 11 saved hours turn into 6.4 hours of botsitting somewhere else in the workflow, the bottleneck didn’t disappear. It relocated.

Start looking past the task that got automated and follow the work all the way to wherever it actually finishes. Did the whole thing get done faster? Was the output better? Did fewer people have to touch it? Did the result actually land better with whoever received it? That’s where you find out whether AI actually created value or moved it somewhere less visible.

The businesses that come out ahead here will be the ones who can point to the exact place in their workflow where AI made the whole thing run better, start to finish.

Keep profiting,

Scott Hall

AI Profit Letter

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WEDNESDAY, AUGUST 26, 2026

Trending this Week:

Nobody wakes up one morning and finds their entire company running on AI. It happens in pieces so small you barely clock them: a report that used to eat your Tuesday afternoon now takes twenty minutes, a call that used to require three follow-up emails gets handled before lunch.

New research is putting numbers behind that pattern, and it changes how you should think about what to automate next. MORE →

Today’s Issue:

This week is about spotting the pieces that are already ready, before you spend another dollar guessing.

Let’s get into it. 👇

🚀 AI TOOLS OF THE WEEK

Tool #1

Genspark

Summary

Genspark sends a set of specialized AI agents out to research a topic and hands you back something it calls a Sparkpage, a built resource instead of a pile of links you still have to sort through yourself.

Why It Matters

Research rarely fails because information doesn’t exist. It fails because there’s too much of it and no time to sort the useful from the noise. For an owner researching a market or sizing up a competitor, having that sorting done for you buys back hours you’d normally spend clicking through search results.

Tool #2

Noah

Summary

Noah works as a proactive AI executive assistant, handling your calendar, your relationships, your meetings, and your follow-ups across whatever tools you’re already using to talk to people. It coordinates schedules, sends messages, captures action items out of meetings, and keeps the important relationships from going quiet on their own.

Why It Matters

A surprising chunk of an owner’s day disappears into coordination instead of actual work. Booking a meeting, remembering to follow up, keeping a conversation moving forward, none of those tasks are big on their own, but stacked together across a week they eat a real amount of attention.

Tool #3

Velo

Summary

Velo takes a rough screen recording and turns it into a finished product video, cleaning up the walkthrough, writing the script and narration, and adding the zooms and cursor movement that make it watchable.

Why It Matters

Every business repeats itself. Onboarding and the same product walkthrough, explained again for the fifth time this month. Turning that explanation into a video means you say it once and it keeps working without you in the room.

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📖 AI IN THE REAL WORLD

AI Capability Is Climbing Like a Tide, Not Landing Like a Wave

MIT Sloan pulled together more than 60,000 worker evaluations covering over 6,000 real, text-based workplace tasks to see how AI capability is actually moving. The pattern showed steady improvement spread across a wide range of tasks at once, rather than a handful of jobs suddenly getting automated overnight.

Across the models MIT Sloan’s researchers studied, AI could already turn in a minimally sufficient result with no edits on 50% to 75% of the text-based tasks tested. The same researchers found that stretching a task out to ten times its normal length only dropped the success rate by six to seven percentage points, which tells you the length of a task matters less to AI capability than most owners assume.

Their projections suggest a lot of these text-based tasks could hit 88% to 97% success rates by 2030 at a minimally sufficient level, though the researchers are careful to note that being technically capable of a task isn’t the same as it being the right call to automate it.

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⚡ AI GROWTH HACK OF THE WEEK

The 30-Minute AI Task Audit

The Strategy:

Skip the search for another tool this week. Instead, spend half an hour figuring out which tasks already sitting in your business are ready for AI to take off your plate.

1. Write down what you actually did on repeat over the last seven days. Research, scheduling, follow-ups, emails, reporting, content, answering the same customer question again.

2. Drop that list into your AI assistant of choice using the prompt below.

3. Pick one task from what comes back and test it for real this week.

4. Measure whether it actually saved time before you touch a second task.

Why This Works:

AI capability moves too fast for a once-a-year audit to mean anything. A task that needed a person’s full attention six months ago might be handled without one today, and the only way you find that out is by checking again instead of assuming last quarter’s answer still holds.

Wrapping Up

Genspark takes over more of the digging that eats a research afternoon. Noah picks up the coordination that quietly drains your attention all day. Velo turns an explanation you’d otherwise give five separate times into something you record once and reuse forever.

The MIT Sloan research gives that shift a shape worth remembering. AI adoption doesn’t have to hit as one disruption you brace for. It climbs steadily, task by task, until you look up one day and realize a chunk of your week runs differently than it used to.

That’s the opening for you. You don’t have to guess where AI lands by 2030. You have to keep checking what it can already do today, then move one more repeat task off your desk while the tools are ready for it.

Run the audit this week. Pick one task. Test it. Then come back and pick the next one.

Build it once. Let it answer for you every day after that.

Keep profiting,

Scott Hall

AI Profit Letter

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Better Online Info LLC | AI Profit Letter | 2150 NJ-35, Suite 250, Sea Girt, NJ 08750

WEDNESDAY, AUGUST 19, 2026

Trending this Week:

The businesses pulling ahead with AI right now aren't running the longest tool list you've ever seen. They're running the tools you never actually watch working, the ones answering a call, sorting the noise, greeting a customer, and booking the appointment before you've even opened your inbox for the day.

That shift changes what "using AI" even means for a small business, and it's happening faster than most owners have noticed. MORE →

Today's Issue:

This week is about what happens once AI stops being an app you open on purpose and starts being the front door your customers actually walk through.

Let's get into it. 👇

🚀  AI TOOLS OF THE WEEK

Tool #1

Zinley

Summary

Zinley gives your business its own AI-run phone number and email address. It answers calls, responds to messages, books appointments, and works through tasks based on rules you set ahead of time, and it keeps track of the people and relationships behind every interaction instead of treating each caller like a stranger it's meeting for the first time.

Why It Matters

Most AI tools sit around waiting for you to type a question into them. Zinley runs the other direction. It handles the calls and emails on its own, so the business keeps moving on the days you're buried in something else and nowhere near your phone.

Tool #2

YourSitee

Summary

YourSitee pulls your entire online presence into one customizable page. It comes with more than 20 widgets and an AI tool that imports your existing Linktree setup in a couple of clicks. Analytics are built in too, so you can see exactly what visitors are clicking once they land there.

Why It Matters

A customer who finds you across three different platforms shouldn't have to go hunting for the one place they can actually book or buy from you. One destination removes that friction before it ever costs you the sale.

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📖  AI IN THE REAL WORLD

Why AI-Driven Enterprises Are the Future of Entrepreneurship

According to MIT Sloan Management Review, the businesses seeing the biggest returns from AI have stopped treating it as a tool you pull out for one task at a time. The report found that these companies are rebuilding how decisions get made, how teams collaborate, how work actually gets executed, and how customers experience the result, with AI built into that structure from the start instead of bolted onto whatever process already existed.

The piece is direct about where the real value comes from. It isn't AI replacing people. It's AI paired with the judgment a person brings, running inside a business designed to use it well instead of a business hoping the software fixes something the process never could.

Sponsored

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⚡  AI GROWTH HACK OF THE WEEK

Build an AI Communication Hub

The Strategy:

Connect the tools your customers actually interact with, so AI can catch opportunities and get back to people faster than you could on your own.

1. Let Zinley pick up incoming calls and emails instead of routing every single one through you first.

2. Point YourSitee at every channel you're active on, so it becomes the one link you hand out instead of five competing profiles.

3. Whenever a sharp idea or a good question comes up during a call or email, drop a quick voice note or a line into whatever notes app is already sitting on your phone. Don't stop to organize it in the moment.

4. Review those notes once a week and turn the ones that keep repeating into a blog post, an email, a video, or a social update.

Why This Works:

Your business generates real, usable material every single day through the calls and conversations that already happen. Most of it disappears the moment the conversation ends because nothing is set up to catch it. This workflow catches that material and turns it into marketing assets that keep paying off long after the call itself is forgotten.

Wrapping Up

Zinley and YourSitee solve two different halves of the same problem. One handles the conversation once a customer reaches out. The other makes sure they land somewhere clear the moment they go looking for you. Neither one is impressive purely as a standalone app. What's actually worth paying attention to is what happens once they're both running quietly behind the business at the same time.

That's the same lesson buried in the MIT Sloan piece this week. The companies pulling ahead didn't win by adopting AI first. They won by rebuilding the process around it, so the technology supports the business instead of sitting next to it as one more login nobody has time to check.

The owners winning over the next few years won't be the ones with the longest subscription list. They'll be the ones who built a front door AI can run, so the business keeps moving even on the days they're nowhere near it.

Build it once. Let it answer for you every day after that.

Keep profiting,

Scott Hall

AI Profit Letter

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