Jay Thornton

I’ve spent the last year trying to figure out why automation still feels broken — even when it’s working exactly as designed.

Triggers fire. Sequences run. Messages go out on time. On paper, everything is functioning. But in practice, automated communication often feels disconnected, mistimed, or oddly unaware of what’s actually happening.

That gap isn’t caused by a lack of tools. It’s caused by a lack of context.

Most automation systems are built around rules, not understanding. Something happens, so something gets sent. There’s no awareness of why the event occurred, what came before it, or whether the message still makes sense in the larger story.
That distinction matters more than most teams realize.

Why Rules Alone Don’t Scale Relationships

Rules are binary. Either a condition is met or it isn’t. But real business interactions don’t work that way.
A lead fills out a form after a sales call, not before it. A customer opens an email while already deep in a buying process. A follow-up arrives after the decision has been made — just not in your system.
When automation ignores those realities, communication becomes noise. It may still get opened. It may still technically “perform.” But it stops feeling intentional. At scale, that’s costly. Not just in unsubscribe rates, but in trust.

Context Changes Everything

Context-aware automation behaves differently. It doesn’t ask, “Did this event happen?” It asks, “What does this event mean?” That shift requires seeing more than one data point at a time. It means understanding engagement history, sales activity, timing, and intent — and using that broader picture to decide whether a message should be sent at all.

AI doesn’t fix this by default. Most AI in email tools is just a faster way to send the wrong message. The problem was never speed. It was awareness.

Fragmented Systems Can’t See the Whole Story

I’ve watched this firsthand. CRM data in one tab. Email platform in another. Sales notes in a third. Each system confident it’s doing its job, none of them aware of the others.

When systems can’t see the whole story, automation can’t act intelligently.

Bringing those signals together — behavior, engagement, timing, and outcomes — is the difference between automation that executes and automation that understands.
What I’m Building Toward

This is the gap I’ve been thinking about for the last year. Not smarter emails. Not cleverer sequences. Better decisions.

At LeadMachine.fyi, I’m designing automation around shared context — not just email triggers. The goal isn’t to send more messages. It’s to surface the right action at the right moment, based on what’s actually happening across a business, not just inside an inbox.
When automation understands context, it stops feeling automated. It starts feeling considered.

That’s the direction I’m pushing — both in how I think about systems and in what I’m building.
Because communication doesn’t break when tools fail. It breaks when understanding is missing.

~jt

Have questions or comments? Get in touch! I can even schedule a demo!

I’ve spent most of my career building SaaS products around a simple question:

Does this actually make someone’s work clearer and easier?

Over time, I’ve become increasingly skeptical of software that promises transformation but delivers more complexity. This is especially true in the CRM space. Most CRMs today are very good at collecting data and very bad at helping people understand what to do with it.

They track activity, store contacts, and generate reports. But when you ask the questions that matter in the moment, the answers are usually buried.

That gap isn’t a data problem. It’s a clarity problem.

That gap is why I built LeadMachine.

LeadMachine is an AI-enriched CRM designed around decision-making, not record keeping. The goal isn’t to add more dashboards or automate everything in sight. It’s to reduce noise, surface signal, and help teams understand what actually matters right now.

You can see the product and its thinking at https://leadmachine.fyi.

Functional AI, Applied Where It Matters

I’ve written before about my skepticism toward AI for AI’s sake. The same rule applies here as it does everywhere else I build software:

If AI doesn’t make something clearer, faster, or genuinely more useful, it doesn’t belong in the product.

LeadMachine uses AI in a functional way. It analyzes patterns across leads, companies, and user activity and turns that information into summaries, priorities, and context. Instead of forcing users to interpret raw data, the system helps interpret it for them.

This isn’t about replacing human judgment. It’s about supporting it.

When applied thoughtfully, AI becomes a compression tool. It shortens the distance between data and understanding. That’s the role it plays inside LeadMachine.

A CRM That Respects Attention

One of the things that frustrates me most about modern SaaS is how little respect it shows for user attention. More features, more alerts, more tabs, more noise.

LeadMachine is intentionally opinionated in the opposite direction.

It focuses on:

• What’s changing
• What’s stalled
• What needs attention today
• What activity is actually moving the needle

Not everything needs to be visible all the time. Not every data point needs equal weight. Good software makes tradeoffs on behalf of the user.

That philosophy runs through every part of LeadMachine.

Why This Matters Now

CRMs were built for a different era. An era where manual follow-up was expected and insight came from end-of-month reports. That world doesn’t exist anymore.

AI changes the expectations. Teams no longer need more data. They need better understanding.

LeadMachine is my attempt to build a CRM that reflects that shift. A system that acts less like a database and more like a thinking partner.

If you’re interested in where CRMs are headed, how AI can be applied responsibly, or what it looks like to build modern SaaS with clarity as a first principle, you can explore more at https://leadmachine.fyi.

I’ll continue writing here about the ideas, decisions, and lessons behind the product. Not as announcements, but as an ongoing exploration of how software should work when it’s built with intent.

Are you thinking about building a swimming pool in your backyard? Whether you are looking for a new way to relax and have fun or to improve the value of your property, building a pool is a great investment. But before you start digging, it’s important to have a good idea of the costs involved. This is where Custom Pool Estimator comes in.

Custom Pool Estimator is a website designed to help you estimate the cost of building a swimming pool. The site provides an easy-to-use online tool that allows you to select the features you want in your pool and estimate the cost of construction. With Custom Pool Estimator, you can design your dream pool and get an accurate estimate of the cost without ever leaving your home.

The site’s user-friendly interface allows you to select the type of pool you want, its size, the location, and other features such as lighting, decking, fencing, and more. The online tool then generates a detailed cost estimate that includes the cost of materials, labor, and taxes. With this information, you can make an informed decision about whether to proceed with your pool project and have a better understanding of your budget.

Custom Pool Estimator not only provides an accurate cost estimate, but also offers valuable information about the pool building process. The site provides information about the different types of pools available, such as inground and above ground pools, as well as the pros and cons of each type. You can also find information about the different materials used to build pools, including concrete, fiberglass, and vinyl liner.

Another great feature of Custom Pool Estimator is the ability to compare different pool designs and costs. The site allows you to compare the cost of different features and materials, making it easy to find the best options for your budget. With this feature, you can make informed decisions about the design and construction of your pool, ensuring that you get the best possible outcome for your investment.

In conclusion, if you are thinking about building a swimming pool, Custom Pool Estimator is the website for you. The site provides an accurate and detailed cost estimate for your pool project, as well as valuable information about the pool building process. With its user-friendly interface, easy-to-use online tool, and informative content, Custom Pool Estimator is your one-stop solution for pool design and cost estimation.

Blockchain is one emerging technology that is sure to make headlines in the next few years. This technology uses blocks to store information and prevents a single point of failure. As a result, it is efficient and secure and can streamline processes. While not fully implemented, it is a promising technology for a variety of industries and applications.

While many industries can be impacted by blockchain technology, its implications are perhaps greatest in data. In China, data is a critical resource, with President Xi Jinping stating in 2013 that “big data is a free resource.” Blockchain technology provides a more efficient way to collect, store, and distribute data. It can reduce the need for central arbitration and improve overall network efficiencies. For example, new cars could communicate directly with each other, avoiding accidents and decreasing traffic congestion.

Blockchain technology will revolutionize the way information is shared. It will make the internet more transparent and decentralized. Blockchain will enable direct and transparent relationships between people, removing the need for third-party intermediaries. It will forever change the way we interact with the internet. Founder Jayson Tan has created Torum, a social media platform that connects cryptocurrency users. The company has received strategic funding from Huobi Ventures and KuCoin Labs, the investment arm of KuCoin.

Emerging technologies offer innovative solutions to problems that previously seemed unsolvable. The blockchain technology in the digital currency Bitcoin is a prime example. It provides a public ledger of all transactions and is the first digital currency to solve the problem of double-spending. A cryptocurrency is nothing without a blockchain can be used in many ways.

Blockchain will also help with the problem of privacy. It can protect the personal data of its users and prevent it from being accessed by third parties. Its use in social media will solve many of the inherent problems of social media. These problems include privacy, relevance, and data control. Blockchain will help to overcome these issues and help social media become a more useful and safe environment for users.

Blockchain is one of the most important emerging technologies. It has the potential to revolutionize the way we communicate, interact, and collaborate. It is a promising technology for the future and should be given the same serious attention as other emerging technologies. In addition to blockchain, there is another emerging technology called metaverse. This is the next evolution of the internet and will fundamentally change the way we communicate. It will allow us to access a persistent digital environment and make it interoperable with the physical world.

Generative AI is another emerging technology. This technology uses algorithms to learn the representation of artifacts from data and then use this representation to create new artifacts while preserving the likeness of the original data. While this technology is still in its early stages, it has already seen success in several industries. Some industries may be wary of generative AI due to privacy and safety issues.