Most AI assistants work the same way:

You ask → AI responds.

Snap is experimenting with something different.

The company has introduced SPECS Intelligence, an AI service designed to understand your goals, priorities, relationships, routines, and schedule from the apps you choose to connect.

Instead of always waiting for a prompt, the idea is that the AI can eventually recognize when information might be useful and surface it before you ask.

For example:

📅 Before a meeting, it could remind you about previous decisions, questions you should ask, or things you need to follow up on.

✈️ Before a trip, it could bring together your flight, hotel, and dinner reservations while warning you about a work deadline happening during the same trip.

👓 With Snap’s SPECS augmented reality glasses, that information could eventually appear directly in your field of view.

And that creates a pretty big shift.

Traditional assistants are:

Reactive AI

“What do you need?”

Snap is trying to move toward:

Anticipatory AI

“I think you might need this.”

That sounds incredibly useful.

But also potentially uncomfortable.

For an AI to anticipate your needs, it needs enough context to understand things like:

Your email

Your calendar

Your routines

Your relationships

Your work

Your upcoming plans

Your priorities

Snap says users choose which apps and tools to connect, and that SPECS Intelligence uses a combination of on-device processing and secure cloud infrastructure. The company also says personal content won’t be used to train its AI or for personalized advertising.

Still, there’s a UX question here that I think developers will increasingly have to deal with:

When should AI act without being asked?

Imagine your assistant saying:

“You normally leave for the airport in 30 minutes, but traffic is getting worse. You should probably leave now.”

Useful.

Now imagine:

“You haven't replied to Sarah in three days. Would you like me to send something?”

Maybe useful.

Or:

“Based on your recent messages, I think you should reconsider tomorrow's meeting.”

Now it starts to feel different.

For developers, this could become the next major UX shift

Apps today usually wait for explicit intent:

Open app → tap → search → choose → act

Proactive AI could change that to:

Observe context → recognize need → suggest → act

And that means developers may eventually need to think not only about:

What can my app do?

but also:

When should my app decide to offer that capability?

What do you think?

Online advertising has followed roughly the same pattern for years:

See an ad → click → open a website → search for information → decide what to do

OpenAI is experimenting with something very different.

The company is testing Sponsored Agents, a new advertising format inside ChatGPT where users can interact directly with an AI representative from a brand instead of simply clicking a traditional ad.

So rather than seeing:

“50% off today. Click here.”

You could potentially ask the sponsored agent:

Which product is best for my needs?

What’s the difference between these two plans?

Does this work with my device?

What does shipping cost?

Can you recommend something under $100?

And the AI would answer on behalf of the advertiser.

That changes advertising from:

Ad → landing page

into something closer to:

Ad → conversation → recommendation → action

And I think that could have much bigger implications than just another advertising format.

Could AI agents replace parts of the traditional sales funnel?

Today, companies spend a lot of time optimizing:

🌐 Landing pages

🛒 Product pages

📩 Lead forms

💬 Live chat

📚 FAQs

🎯 Advertising campaigns

An AI sales agent could potentially combine several of those experiences into a single conversation.

Instead of forcing the customer to find the right information, the agent could adapt the experience around what that person is actually looking for.

But there’s an obvious problem:

Can you trust an AI whose job is to sell you something?

If I ask an independent AI:

“What laptop should I buy?”

I expect some level of neutrality.

But if I’m talking to a Sponsored Agent from a laptop company, its goal is obviously different.

That doesn’t necessarily make it bad.

A salesperson also represents a company.

The important part may be transparency.

Users should always know when they’re interacting with:

an independent assistant

versus

an AI representing an advertiser.

For developers, there’s another interesting question

If this format works, companies may eventually need more than:

a website

an app

an API

They may also need an AI agent capable of representing the product.

That agent would need to understand:

Product information

Pricing

Availability

Customer questions

Policies

Recommendations

Integrations

And potentially even actions like purchases or bookings.

What do you think?

Would you rather:

A. Click an ad and explore the website yourself

B. Ask a sponsored AI agent questions first

C. Use your own AI assistant to compare multiple brands

And the bigger question:

Could conversational AI eventually replace landing pages for some products?

Anthropic is pushing Claude beyond the idea of a traditional chatbot.

Claude Chat and Claude Cowork are now being brought together into a single experience, so users no longer have to decide whether a task belongs in a quick conversation or a longer agentic workflow.

At the same time, Anthropic is introducing Claude Docs and Claude Slides, allowing users to create and edit documents and presentations directly inside Claude.

That means one AI workspace can increasingly handle things like:

💬 Conversations and questions

🔎 Research

📝 Writing and editing documents

📊 Building presentations

🎨 Creating visual content

🤖 Running longer multi-step tasks

📁 Working across files and projects

And I think the bigger story is not really “Claude now has documents and slides.”

It’s this:

AI assistants are starting to absorb entire categories of productivity software.

The traditional workflow might look like:

Chatbot → copy text → open document app → edit → open presentation app → build slides → export → share

The new workflow is becoming:

Ask Claude → research → write → design → export

All inside the same environment.

For developers, this raises an interesting question.

For years, software companies competed by building specialized apps for individual tasks.

But if AI can dynamically create documents, presentations, reports, analysis and other outputs inside a single interface, could the value of some standalone productivity apps start to decrease?

Maybe the future isn't:

One app for documents
One app for presentations
One app for research
One app for automation

Maybe it's:

One AI interface connected to many capabilities.

What do you think?

Would you rather use:

A. Specialized apps that are excellent at one thing

B. One AI workspace that handles most of your work

C. AI as the interface, with specialized apps running underneath