The durable asset of a business is not its interface. It is its data, context, and skills.
AI can generate interfaces, present an offer in different formats, and reveal answers through conversation. But it cannot invent the unique truth of a business. The AI channel only works when the context underneath it is rich, specific, and fresh.
The context trapped inside a business
Most businesses already have useful context. It lives inside the owner, the staff, the shop, and the systems they use every day.
A restaurant has a new dish. A tradesperson has a free afternoon. A shop needs a supplier. A venue has spare capacity. An offer is valid for the next two hours.
If agents cannot see that context, they cannot recommend it. If customers and suppliers cannot discover it, it cannot create value.
Make fresh context easy to publish
A business should not need to redesign its website, launch a campaign, or configure a complex offer flow whenever reality changes. The publishing barrier must be lower than the value of the update.
The ideal input is an automatic sensor. Sensors can publish live signals about stock, capacity, queues, availability, or footfall. They keep the AI channel current without asking someone to remember an update.
But sensors are not required at the start. An owner can record a voice message. The message becomes structured text, the context goes live, and agents can use it.
A restaurant owner might say: We have a new dish today. Anyone who comes in gets £2 off. That small update is already valuable. It is a local, time-sensitive offer that can appear when nearby intent matches it.
Context connected to place and time
Freshness alone is not enough. Useful context must describe what is true, where it is true, when it matters, and who can act on it.
Someone who needs a lift to the airport tomorrow morning should be able to publish that request once. Trusted agents allowed to consume the public context can discover it and respond. The request becomes more valuable because it is easy to expose, portable across interfaces, and visible at the right moment.
This is the role of STAP: turn real-world context into structured, agent-readable records connected to place, time, and intent.
The interface can follow
More context creates better matching. Fresher context creates better timing. Public context creates more possible responders.
The interface can adapt later. The first job is to capture and expose what is true now.
That is why context is king—and why making it fresh is the foundation of the AI channel.
Inspired by Tom Blomfield's observation that data, context, and skills become durable business assets in the age of AI.