Stop Building AI Assistants. Build AI Firewalls.

Every week another "AI agent for X" launches. Email triage. Calendar coordination. Sales follow-up. PR reviewer. Slack monitor. Meeting summarizer.

I've installed enough of them to see the pattern. Here's the dirty secret nobody mentions in the launch posts:

These tools don't reduce your work. They multiply your notifications.

Each AI tool is configured to be helpful by default. "Helpful" means: "I noticed this thing — here's a notification." Stack a dozen of those, and instead of one inbox to ignore you have twelve. The signal-to-noise ratio gets worse every time you add an AI to your workflow.

The mainstream answer is "just configure each one." Sure. Spend four hours tuning notification settings every time you add a tool, and another four hours when one of them ships a "smarter notifications" update. That's not productivity. That's notification janitorial work disguised as setup.

This is a structural problem. Not a configuration problem.

50-second demo

The wrong question

Every AI tool asks the same thing: "Is this important?"

Wrong question. There is no objective "important." Importance depends on you, right now. A Stripe webhook is important when you're debugging a checkout flow. The same webhook is pure noise during a deep work block. A Slack message from your cofounder is critical at 11am Tuesday and irrelevant at 11pm Friday.

The right question is:

Is this urgent enough to interrupt me, right now, given what I'm doing?

That's not a question any individual AI agent can answer. It's a layer above all your AI agents. None of them have the context. None of them know what the others are doing. None of them know how you're spending the next hour.

So they all default to "I'll just send you a notification, you decide." Which is exactly the experience you have right now: drowning.

What an AI firewall actually looks like

I'm building that layer. It's called Klorn. Here's how it works in practice — and what's already shipping vs what's scope-deferred.

Every incoming email goes through a 4-tier classification:

That's the entire surface. No "Call" tier. No fancy automations. Narrow on purpose.

The tier is decided by a 4-feature scorer:

• Confidence — how clearly the signal type maps to a tier
• Sender trust — your historical reply rate and meeting acceptance for this contact
• Reversibility — can the wrong tier be undone without consequence?
• Urgency — actual urgency signals, not "URGENT!!!" in the subject line

80% agreement with my hand-labels on 50 real emails. That's the Day 7 PoC gate, met.

Override is GROUP BY, not LLM

When the firewall gets a tier wrong, one click moves the email to the right tier. Your correction doesn't just fix this one email — it becomes ground truth for the next prompt.

The override loop is the wedge. The classifier is replaceable; the alignment signal isn't. Every disagreement is signal, not noise.

Boring + measurable beats fuzzy + ambitious.

Why building this is unpopular in 2026

Building AI firewalls is unsexy. Investors want "AI agents that DO things." Saying "I built a system that does fewer things, more quietly" sounds backwards on a pitch deck.

But every founder I've shown this to has the same reaction: relief. Because they're drowning. Because every productivity tool they bought made their attention worse, not better. The AI agent boom didn't reduce their work. It raised the floor of background notifications.

The default for AI tools should be: shut up unless it actually matters.

Most don't. So I'm building the layer that enforces it from outside, since none of the individual tools will do it on their own.

Where I am

PoC sprint, Week 5, solo. 14-day window ending June 9, 2026.

Day 7 Technical Gate — ≥80% classifier agreement on 50 hand-labeled emails. Met.
Day 14 UX Gate — ≥3/5 ICP demos register "oh, this is different." Pending.

I dogfood it every day. My own inbox runs through the firewall.

Stack: Next.js 15, TypeScript, Prisma, Postgres (Supabase), Claude / OpenAI for the tier reasoning, Gmail for ingest.

The actual unpopular opinion

If your AI tool sends push notifications by default, it's broken. Doesn't matter how good its reasoning is. You can't reason your way out of a notification flood.

The next valuable layer of agentic products won't be more agents. It'll be the firewall that decides which agents are allowed to interrupt you, when.

Try it: klorn.ai
Code: github.com/k08200/klorn

If you're building agentic products and you disagree, I want to hear it. If you've solved it differently, I want to hear that more.