Trust Is The New Moat

Your users are humans and agents now. Both demand reliability. One is less forgiving. Mike Molinet & Govind Kavaturi break down why trust — reliability, security, transparency — is the new competitive moat in the agent economy.

Mike Molinet & Govind Kavaturi


Illustration of a green bridge spanning two broken gray platforms, with a human figure and a translucent cyan agent figure meeting on the bridge.
Illustration of a green bridge spanning two broken gray platforms, with a human figure and a translucent cyan agent figure meeting on the bridge.

Last week we talked about the launch economy. 1 million products launching. 10,000 hitting $1M ARR. The filter was distribution. Find the lake first.

This week: what keeps those users once you find them?

Trust.

Your Users Changed

You're not just building for humans anymore.

In Vol 5, we said agents will run daily life. That future is arriving faster than most builders realize.

AI agents are already choosing tools. Picking APIs. Selecting products. Not based on marketing. Not based on brand. Based on what works.

Your product is now being evaluated by two types of users:

  • Humans who want it to work.
  • Agents who demand it.

Humans Complain. Agents Just Leave.

Here's the difference.

A human user hits a bug. Maybe they refresh. Maybe they email support. Maybe they complain on Twitter. Maybe they churn next month. You have time. You have signal. You have a chance to fix it.

An agent hits a bug. It calls the next API on its list. Never comes back.

No feedback. No warning. No second chance.

The agent doesn't care about your roadmap. Doesn't care that you're a solo founder. Doesn't care that the bug only happens 2% of the time.

It tried your product. It didn't work. It moved on.

In the agent economy, your product is one failed tool call away from being replaced.

The Novelty Is Wearing Off

For the past two years, users tolerated flaky AI products.

"It's AI, it's not perfect."

"Sometimes it hallucinates, that's normal."

'"It works most of the time."'

That grace period is ending.

Users have seen what good looks like. They've used products that actually work. The bar is rising.

"Cool demo" doesn't cut it anymore. "Works most of the time" doesn't cut it anymore.

Users expect your product to just work. Every time they open it. Every time they call it.

'The builders still shipping "mostly works" are about to lose to the builders shipping "always works."'

What Trust Actually Means

Not enterprise compliance. Not SOC 2 badges. Not security theater.

Three things:

Reliability.

Does your product work every time?

When it fails, do you know before your users do?

If a cron job stops, does your system alert you or do you find out when a customer emails asking where their data went?

Humans will tolerate occasional failures if you communicate. Agents won't tolerate them at all.

Security.

Is user data safe? Is agent data safe?

Are permissions scoped correctly? Can your product access only what it needs?

Agents will be handling sensitive workflows. Medical data. Financial transactions. Personal information. Your product is in that chain now. One weak link breaks trust for everyone.

Transparency.

Can users see what happened?

Can agents verify outputs?

When something goes wrong, can you explain why?

The products that show their work will win against the products that ask for blind trust.

The Silent Killer

Here's what most builders miss.

Your product can fail without anyone noticing. For a while.

A background job stops running. No error. No alert. Just the absence of output.

An AI response is confidently wrong. The user doesn't know enough to question it.

A scheduled task fires but produces garbage. The logs say success.

These silent failures don't trigger alarms because they look like normal operations. They just happen to be wrong.

By the time someone notices, the damage is done. Users have lost data. Agents have moved on. Trust is broken.

The builders who build feedback loops catch these failures early. The builders who don't find out from angry users. Or worse, from silence.

What Builders Should Do

Build the feedback loop.

'Not "did the job run" but "did the job produce the correct output."'

Know when something breaks before your users do. Before your agent users do.

If you're running scheduled tasks, verify they completed correctly. If you're generating outputs, spot-check quality. If you're processing data, confirm it arrived.

The goal: you should never learn about a failure from a user.

Scope permissions tight.

Your product shouldn't access more than it needs.

Agents are going to be granted access to sensitive systems. If your product is in that chain, you inherit that responsibility.

Read access doesn't mean write access. Today's data doesn't mean historical data. One user's context doesn't mean another user's context.

The tighter you scope, the more trust you earn.

Make trust visible.

Your users can't see your backend. But they can see transparency.

Show uptime. Show execution history. Show what data gets accessed and when.

'The products that make trust visible will win against the products that say "trust us."'

The Competitive Advantage

Everyone has access to the same AI models. Same tools. Same frameworks.

Vol 7: distribution is the filter. Find the lake.

Vol 8: once you're in the lake, trust is what keeps you there.

The builder who ships a slightly worse feature but never goes down will beat the builder who ships the best feature but breaks twice a month.

Trust compounds. Features don't.

A user who trusts your product tells other users. An agent that trusts your product tells other agents.

A user who got burned once is gone. An agent who got burned once is gone and never coming back.

The Products Agents Recommend

Think about what's coming.

Agents recommending products to other agents. AI systems evaluating APIs for reliability. Automated decisions about which tools to use.

What will they optimize for?

Not your landing page. Not your Twitter presence. Not your Product Hunt launch.

They'll optimize for: does it work?

The products that work reliably will be recommended. The products that don't will be filtered out.

No marketing can fix a reliability problem in the agent economy.

The 10,000 Who Keep Winning

Vol 7: 10,000 builders will hit $1M ARR.

Vol 8: the ones who stay there are the ones users trust.

Human users and agent users.

Acquiring a customer costs money. Keeping a customer because they trust you costs almost nothing.

The builders who treat reliability as a feature, security as a feature, transparency as a feature will compound.

The builders who treat these as afterthoughts will keep replacing churned users forever.

Vol 1: The opportunity exists. Economics changed.

Vol 2: Smart operators doing dumb work. Patterns to spot.

Vol 3: Stop automating. Start eliminating.

Vol 4: The game changed. Train like it matters.

Vol 5: Agents will run daily life. Build the access.

Vol 6: $100M solo founder. The grind behind the highlight reel.

Vol 7: The launch economy. 1 million launches. 10,000 winners.

Vol 8: Trust is the new moat. Build it in from day one.

Distribution gets you users. Trust keeps them.

The agents are coming. They're less forgiving than humans.

Is your product ready?

—Mike & Govind

Building something agents will use? Make sure it works. Every time.