Harness engineering, evolved — self-evolving governance · Patent pending

Who watches the AI that writes your code?
Who runs the service while AI does the work?

Kyntra is the watcher that stops AI the moment it breaks your rules,
and the operator that runs your service in place of a human team.

For developers · from $15/mo

AI about to break a rule you set?
We stop it before it runs.

When Claude Code or Cursor is about to execute a dangerous command, we cut in and block it — in real time, before it lands. This is prevention, not an after-the-fact log.

  • 7 built-in blocks — branch overwrite, secret leak, "done" without checking, more
  • Write your team's rules in plain Markdown — AI reads and enforces them alongside ours
  • One-line install, active the moment it's on
Start now → What does it block?
For businesses · custom scope

From ticket to live deploy,
AI handles the whole run

A ticket lands at 2am. AI finds the cause, writes the fix, runs the tests, deploys. A human only approves the final step.

  • 10 services are running this way today — Jungchirank, Bamap, OMS, Ssonda, and more
  • Connect any existing site with a single script tag
  • Custom quote by service size and industry
Request consultation → See how it runs

Recognize any of these days?

If you've shipped code alongside AI, you've probably lived through these. We call them AI's occupational illnesses.

Context Drift

The 3-hour fatigue

Hour 3 of the session. The same AI that matched your types and wrote tests an hour ago now answers the same question three different ways. It's rewriting code it just deleted, and any is quietly creeping back in. The "follow my rules" line you pinned at the top is getting dimmer with every reply.

Loop Syndrome

Same bug, fourth time

Fourth attempt at the same bug. "This time it's fixed." → reproduce → "Apologies. Really fixed now." → reproduce. You're pasting the same error screenshot for the fifth time, no longer sure if you're debugging the code or the AI.

Quick-patch Reflex

3 a.m. pager bait

3 hours to deadline. One error won't budge, so you tell AI "just ship it" — and it wraps the call in try { ... } catch { /* ignore */ }. Ships clean. Three weeks later, that one line is why someone's pager goes off at 2 a.m.

All three are structural limits, not bad prompting. AI forgets when context fills up, cuts corners when it hits a wall, and repeats the same mistake. No amount of "follow the rules" text in the prompt closes the gap. — Which is why the watching itself has to be outsourced.

↓ Kyntra Axis 1 catches all three the moment before they run.

Two problems, one root

AI won't stick to the rules you set. AI generates more work than your team can handle. It all comes down to: how far can you trust AI, and where? Kyntra answers both on one engine.

🛡️

AI agrees to your rules, then forgets them

"Never force-push" — until it hits a wall and force-pushes anyway. "Verify before saying done" — then skips the check and says "done." AI does the work you ask, but routinely abandons the principles you set.

Axis 1: Governance stops it right before it runs.

⚙️

AI operations are crushing your team

Intake, diagnosis, patch, test, deploy — a human is attached to every stage. AI produces more work, but you can't hire ops people at the same rate. 24/7 coverage by hand isn't a plan.

Axis 2: AI Ops runs the whole chain for you.

Axis 1 — the watcher that stops AI mid-action

We cut in the moment the AI coding agent is about to run a command. Rule-breaking commands are blocked; safe ones pass through. This isn't "write a log about it afterward" — it's "don't let it happen."

What we catchVerdict
Force-pushing over the main branch — protects other people's work from being erasedBLOCK
Wiping a system folder or home directory with rm -rfBLOCK
Skipping commit verification (--no-verify)BLOCK
Appending secrets into .env with a messy echo (values often get mangled)WARN
Bypassing your deploy script with a bare deploy commandWARN
API keys or tokens (sk_*, ghp_*) exposed on the command lineWARN
Declaring "done" without any verification (grep, test, or real check)BLOCK

Plus unlimited team rules — write your own rules in plain Markdown and AI reads and enforces them alongside ours.

See pricing →

Axis 2 — AI runs your service for you

When a user inquiry comes in, AI walks through the ten steps below in order. Each step double-checks the previous step's output. A human only needs to press one button: "ship it?"

1
Intake

User question or bug report

2
Auto-sort

Urgent vs normal

3
Diagnose

Cause + severity

4
Locate code

Find the right files

5
Write fix

Draft the change

6
Test

Nothing else broke

7
Rule check

Matches your policies

8
Human approve

One click in dashboard

9
Auto-deploy

Goes live

10
Archive

Next one is faster

Add the one script tag below to your existing site and all ten steps wire up (one-time install by your developer).

<script src="https://app.kyntra.ai.kr/widget/aimops-widget.js"
  data-system-id="your-service-id"
  data-tower-url="https://app.kyntra.ai.kr"></script>

Running on 10 services today — Jungchirank · Sajulotto · Bamap · Airflow OMS · DarkBlack · Ssonda Pay · Codezip · StratNode · Flowlabs, and more.

Request consultation →

Both axes get smarter the more you use them

Kyntra learns from every past verdict and auto-adjusts enforcement strictness and automation scope. — Patent-pending technology.

📈

Governance gets more accurate

Patterns we block often become rule candidates automatically. Anything you flag as a wrong block gets weighted down. Over time, false positives fade and only real violations stick.

🔁

AI Ops needs you less and less

Recurring inquiries get recognized as "we've seen this before" and resolved automatically. Only genuinely new problems escalate for human approval. Ops load shrinks month over month.

Who's using Kyntra?

The two axes go to different buyers, which is why pricing is split.

Axis 1 · Governance (individual developers)

  • Developers who live inside AI coding tools — heavy users of Claude Code, Cursor
  • Tech leads whose team conventions keep evaporating — internal rules reset every AI session
  • SI & fintech engineers — environments where a stray force-push or secret leak isn't acceptable
  • Freelancers & consultants juggling multiple clients — each client's rules, applied consistently

Axis 2 · AI Ops (businesses & operators)

  • SaaS CS & ops teams — let AI triage the incoming ticket wave
  • E-commerce operators — auto-classify billing/checkout issues and draft the fix
  • Internal platform owners — many internal tools, one dashboard
  • Solo founders & bootstrappers — keep services alive without hiring ops

Which one do you want to solve first?

The two axes work independently, and compound when you adopt both.

Governance subscription

For individual developers — Starter $15 / Pro $29
First month 50% off · 14-day money-back

Start now

AI Ops consultation

Bring AI-driven ops to your live service
Custom quote by scope · reply within 24 business hours

Request consultation