Context Is the Moat

Anyone can generate code now. Nobody else can generate your context.

I wrote a short manifesto for the Vendasta team this month. It is what we believe about where software is going. Here it is, cut down for anyone outside the company.

1. The world has changed

We are in the largest shift in how software gets built, bought and run since the cloud. It will take years to play out, and the end state is not obvious yet. The cost of doing nothing is greater than the cost of being wrong. It is better to play the game than to watch it.

2. Software was solid. Now it is liquid.

For forty years you bought version 5.2. You wanted a new button, you filed a request and you waited six months for 6.0. Liquid software flows and adapts. AI rewrites it in real time to fit the user and the moment.

This is the seventh shift I have lived through. Each one lowered the cost of creation, and each one created more software than it destroyed. In 1951 an IBM ad claimed a calculator could do the work of 150 engineers. We have stood at this kind of door before. Walking through it has always paid.

3. AI does the work. Humans orchestrate.

For forty years software helped a person do the job. Now the software does the job. The person moves from doing to managing: setting strategy, training and overseeing a workforce of AI employees. An AI employee forced to work like a human is a wasted AI employee. The unit of work is the outcome. Clicks do not count.

4. The bottleneck was always context

Producing valid code is trivial now. An AI employee is only as smart as the context it is given. Knowing who the business is, what it sells and who it sells to is the hard part. Data is the lifeblood. Action is the point. Neither matters without the other.

5. Most small businesses will never build software

A small share of owners are comfortable with technology and will happily build it themselves. Most run a business and want someone they trust to build it for them. The market is the done-for-me majority. Selling tools to people who do not want tools is a losing game. So we sell the outcome and let a trusted partner deliver it.

6. The old SaaS model is breaking

SaaS assumed software is scarce and hard to make. That assumption no longer holds. Software that only encodes a workflow loses its value the moment an AI can do the work. The last to admit it will be software companies, because their business models were built on the old scarcity.

7. Value moves from tools to outcomes

A tool that does X has little value when an AI employee can just do X. What gains value is data, distribution, trust, permissions and business context. We measure success in leads, bookings and revenue for our customers. If it is not good enough to run our own business on, it is not good enough for theirs.

8. Context is the moat

We have spent ten years automating how we gather a business's data from the web, social, listings, reviews and its own customers. We own the tools the work runs on: CRM, conversations, listings, reviews, ads, websites, booking and payments. Standalone AI rents its context. Ours is born inside it.

9. Distribution is how we make it count

Configure an account once. Push it to a vertical, a brand, a franchise network or any list of businesses. One template, deployed to thousands in a click, and kept in sync. Everyone else starts with an empty canvas. We ship the outcome out of the box.

10. We win through partnership

We bring horizontal technology. Our partners bring vertical expertise and the customer relationship. They close the expertise gap with a human in the loop. We close the technology gap. Neither wins alone.

11. We reorganize around the models

Bolting AI onto the old org chart is not enough. A small team with strong judgment and many AI employees will outrun a large team fitting AI into yesterday's process. We test bold ideas live within a week. We run our own company on what we sell. The most valuable people are still the system thinkers and operators who increase business value.

12. Therefore

We build for a world where intelligence is abundant, continuous and cheap. We make technology easy, accessible and affordable. We do not wait for the end state to become obvious. We go to the frontier first, because that is where the future is learned.

Context is the moat. Distribution is how we make it count.