Local AI Can Go Online. Here’s What Should Stay Under Your Control.

September 7, 2026 · By Michel Valenzuela, Founder of Daryl

You are discussing an idea with your AI assistant when the conversation reaches a question you cannot answer from memory.

What has changed in the market? Which products already exist? Does the source you remember still say what you think it says?

At that point, you need information from outside the conversation.

A local AI can be designed to retrieve it. “Local” describes where the AI processing happens. It does not mean the application must remain disconnected from the internet.

The important question is what happens when it connects.

Give the research a clear purpose

Suppose you are considering an event and want to compare possible venues.

The assistant needs to understand what you are researching: location, approximate capacity, accessibility, and any requirements that could rule a venue out.

It may also need to search the web and read relevant pages.

That is a defined task. The online activity should serve it.

I want an assistant to make that relationship understandable. You should know what it is looking for and be able to redirect the research if it begins moving away from your question.

A useful search starts with a purpose you recognise.

A search query shares information

Even when an AI processes your conversation locally, an online search sends a query to a search service.

The wording of that query matters.

You might explain a project privately using a client’s name, an internal budget, and an unannounced launch date. Those details may help the assistant understand the situation without being necessary for the search.

For venue research, a location and capacity requirement might be enough.

A well-designed assistant should distinguish between context needed to help you think and information needed to retrieve a source.

That is one of the practical boundaries I want to preserve as Daryl’s online capabilities develop.

Reading a page is different from acting on it

A browser brings several kinds of activity into the same interface.

You can read information, fill out a form, send a message, make a booking, or purchase something. Those activities have different consequences.

Permission to research a venue should have a clear scope. Opening its website and reading its facilities page is one step. Submitting an enquiry with your details is another.

An assistant should make that transition visible.

You need an opportunity to review what will be submitted, to whom, and for what purpose before an action creates a commitment or shares additional information.

Useful research needs sources you can inspect

When an assistant returns with a summary, you should be able to see where the information came from.

For the venue example, that might include a facilities page, a published capacity document, or a booking page.

Those sources let you check whether the summary reflects the actual information. They also help reveal what remains uncertain.

Perhaps the website describes a maximum capacity without explaining the seating arrangement. Perhaps the booking terms are undated. Perhaps two pages give different figures.

The assistant should preserve those distinctions instead of smoothing them into a confident answer.

Research is more useful when you can trace the important claims.

Current information still needs interpretation

Retrieving a webpage does not settle every question.

A page can be outdated, incomplete, promotional, or ambiguous. Information about a venue may describe what is possible without confirming availability for your date.

An assistant needs to separate what the source states from what it infers.

“The venue lists capacity for 150 people” is different from “this venue will accommodate your event.” The second conclusion depends on details about layout, activities, and availability.

The next step may be contacting the venue to confirm. The assistant should help you identify that step clearly.

Access should fit the task

Browser access can expose more than a public webpage.

A browser may contain signed-in accounts, private documents, and tabs unrelated to the research. The assistant’s access should be limited to what the task requires.

A request to compare public venue information does not require reading an inbox or inspecting another project’s documents.

I want permissions to be understandable in those terms: the information needed, the activity allowed, and the point at which the task ends.

You should also be able to stop the research and review what has already been gathered.

Bringing information back does not mean keeping it forever

An assistant may need retrieved information to answer your current question.

Whether that information is preserved for future conversations is a separate decision.

A venue comparison could be useful for planning one event and irrelevant afterward. You might want to keep the chosen venue and its confirmed arrangements while discarding the broader research.

This is where online research and local continuity meet.

The application should explain what becomes part of the working conversation and what, if anything, is retained beyond it.

Useful retrieval should not quietly become indefinite accumulation.

The direction for Daryl and Omega

Daryl is a personal AI for Mac, currently in development, designed around local conversation and support for decisions.

A planned integration with Omega is part of the direction for extending that experience. The goal is to let Daryl help with browser-based research, with your permission, and bring relevant information back into the conversation.

That capability is still being developed. The workflow described here explains the principles I want it to follow, rather than announcing a released feature.

The distinction matters to me: local AI processing can remain on your computer while selected online activity retrieves information elsewhere. Those connections need clear boundaries.

Keep the purpose and the permissions connected

An assistant becomes more useful when it can help you investigate a question using relevant sources.

That usefulness should come with visibility into what it searches, what it reads, what it shares, and what it proposes to do next.

You should be able to inspect the evidence and change direction.

That is the experience I want to build toward with Daryl: research that informs your thinking, with access and actions you can understand and control.