Zwischen
The in-between move

Claude Code is good enough to use.
Not good enough to leave alone.

You know what good engineering looks like. You shouldn’t have to spend your day making sure Claude does too.

Zwischen adds a second AI that watches the work as it happens – and steps in when Claude takes shortcuts, makes weak assumptions, or stops too soon.

Use your work email to delegate the babysitting.
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A red knight stands alone among dark chess pieces

Zwischen’s adversarial AI. The reason your agent can’t cut corners.

The problem

If you use Claude Code seriously, you know what you have to watch for: it reads just enough to start, fixes the local problem and misses the system around it, guesses instead of checking, and stops when something works instead of when it’s right.

That’s where engineering teams lose time. Frank is trained to take over that supervision.

He runs alongside Claude Code, watching what it reads, changes, skips, and tries next. When Claude takes the easy path, Frank steps in and makes it do the work.

Not a dashboard. Not a score. An adversary that can say, “Do more work.”

A second AI inside Claude Code with one job: block the easy move before it executes. If the agent tries to ship something that only looks right, Frank sends it back.

Frank sits inside your Claude Code session – not after it. He runs on the model you pick: GPT, Gemini, DeepSeek, or OpenRouter supported models. Every tool call, every file write, every next step gets checked before it executes. Cheap move? Blocked. The agent is forced to go back and do it right.

Watch Frank catch a bad move live.
claude
Not after-the-fact scoring. Live intervention.

Best practice taught engineers not to work alone in silence. Then the industry built AI agents that do exactly that.

Planning forces thinking before the real work starts.

Pairing questions the move while it’s still being made.

Review asks about the thought process – not just whether it compiles.

The worst mistakes aren’t bad edits. They’re the decisions underneath them. Frank makes the agent form a thoughtful approach up front.

Red means no. Yellow means not yet.

State the plan. Defend the choices. Then touch the code.

/z monitor

Watch Frank think.

Frank doesn’t wait for failures. He evaluates continuously – every action, every shortcut, every justification. The monitor is a live console window, right beside your session.

You see exactly what Frank is thinking, in real time, from a single command: his verdict on every move, the moment he makes it.

A real session – Claude building a referral rewards feature, with real account credit on the line.
zwischen
Model: gpt-5.6-terra
Run /z monitor in Claude Code. Frank shows the work most models hide.

This isn’t a hunch. The failure mode is measured.

AMD’s Senior AI Director analyzed 6,852 Claude Code sessions and 234,760 tool calls over three months.

One in three edits landed in files the agent never opened.

It read 70% fewer files before making changes. The agent’s own verdict: lazy and wrong.

That’s the exact moment Frank interrupts – the edit an agent makes before it’s earned it.

Agents are fast. But senior engineers still end up supervising them: checking the context they skipped, tracing assumptions they never verified, and catching the decisions that looked reasonable but weren’t.

Frank does that during the session, before it becomes your job.

The speed stays. The babysitting doesn’t.

Zwischen comes from zwischenzug – the chess “in-between move” that disrupts the expected line. Insert the unexpected challenge at the moment it matters.

Put a second set of eyes on Claude that aren’t yours.

If your team is already using Claude Code on real products, let Frank watch the work so your team doesn’t have to.

Use your company domain. No deck. No demo theater. No intake form. Just access when you’re up.
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