The best products will improve automatically from what you save online.
Here is what I just tested with Jev:
I had saved a bunch of quality X posts about Jev in @Tweexapp
I just wanted to know whether Jev was actually useful for Tweex — and, if so, where it would create the most value.
So I asked Tweex’s MCP to search across everything I had saved about Jev.
The answer was clear: search.
Not “put Jev everywhere.” Use it for the decisions where fast, structured judgment matters. In my case:
→ Broad searches: score and rank the full result set.
→ Precise searches: make a strict relevance decision.
→ Multi-condition searches: verify every requirement independently.
Then I implemented it through OpenRouter.
Now Tweex search is much, much better — just by using knowledge that was already inside Tweex.
This creates a very rewarding loop: save ideas. Ask your library where they apply from Codex or Claude. Ship.
The next step: Tweex proactively pings me with the most valuable things to ship/improve from what I’ve saved and I just have to challenge/validate it.
Context is what turns a generic model into 10x better results.
Old business: Advisory firm selling "purpose" frameworks to sports brands and federations
New business: Intelligence engine scraping fan sentiment and athlete signals in real time, surfacing authentic narratives faster than any human team
We will need a whole new Internet infrastructure made for agents.
The next user interface should probably be voice. With voice, technology disappears and agents will execute in the background.
Products with no user interface will explode.
What’s interesting with AI and agents is not just that it makes building easier.
It’s that it changes what a “product” actually is.
For years, products were designed as destinations. You drive traffic, capture attention, and build interfaces people come back to.
Each platform shift came with new ways to reach users:
- search and links for the web
- feeds and virality for social
- app stores and push notifications for mobile
But AI agents don’t behave like users.
They don’t explore.
They don’t browse.
They don’t build habits.
They execute by calling whatever works best in the moment.
Which means many products are already starting to feel… poorly designed.
Too much surface.
Too much interface.
Not enough usable capability.
In an agent-driven world, value shifts away from owning the interface, and toward exposing something that can be reliably used inside a flow.
Not a destination but a simple function.
And this changes distribution in a deeper way than it first appears.
You don’t win by being seen. You win by being chosen — repeatedly — by systems optimizing for outcomes.
Which raises a different kind of question for product builders:
From “what experience should we design?”
To “what small capability is so useful that it becomes a default in how things get done?
For the agentic economy to overtake the human economy, agents need a way to discover services.
We launched Agentic(.)market to give agents a discovery layer to find and integrate x402 services seamlessly.
Add the skill to your agent. And list your services to start earning revenue.
> npx skills add coinbase/agentic-wallet-skills
Last week I wanted to answer a simple question:
how do you make life easier for AI agents on the Internet?
So I built an MCP server, Alakazam — making it public today.
alakazam.run/
Simple use case: I watched my agent create an identity from scratch, sign up on Luma, receive the verification email, and complete the flow end-to-end.
No human involved.